35 research outputs found

    Optimal Gear-Shifting of a Wet-Type Two-Speed Dual-Brake Transmission for an Electric Vehicle

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    In improving the efficiency of powertrain systems and ride comfort for electric vehicles (EVs), the transmission model is required to enable more accessible and more straightforward control of such vehicles. In this study, a wet-type, two-speed, dual-brake transmission system, as well as a new electromechanical clutch actuator, is presented for EVs. A new coordinated optimal shifting control strategy is then introduced to avoid sharp jerks during shifting processes in the transmission system. Based on a state-space model of the electromechanical clutch actuator and dual-brake transmission, we develop a linear quadratic regulator strategy by considering ride comfort and sliding friction work to obtain optimal control trajectories of the traction and shifting motors under model-based control. Simulations and bench tests are carried out to verify the performance of the proposed control laws. Results of the proposed coordinated control strategy show that noticeable improvements in terms of vehicle jerk and friction energy loss are achieved compared with an optimal control scheme only for the shifting motor as the input

    Control of a mechanical hybrid powertrain

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    Development of synchronizer control system of automated transmission for agricultural tractor

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ๋ฐ”์ด์˜ค์‹œ์Šคํ…œยท์†Œ์žฌํ•™๋ถ€(๋ฐ”์ด์˜ค์‹œ์Šคํ…œ๊ณตํ•™), 2020. 8. ๋ฐ•์˜์ค€.์ตœ๊ทผ ์ฐจ๋Ÿ‰์˜ ํŽธ์˜์„ฑ์— ๋Œ€ํ•œ ์šด์ „์ž์˜ ์š”๊ตฌ๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ์ž๋™ ๋ณ€์†๊ธฐ๊ฐ€ ์žฅ์ฐฉ๋œ ์ฐจ๋Ÿ‰์ด ์ž๋™์ฐจ ์—…๊ณ„๋Š” ๋ฌผ๋ก ์ด๊ณ  ๋†์—…๊ธฐ๊ณ„, ์ค‘์žฅ๋น„ ๋“ฑ ์‚ฐ์—… ์ „๋ฐ˜์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋”ฐ๋ผ ์ฃผ๋กœ ์ˆ˜๋™ ๋ณ€์†๊ธฐ์— ์‚ฌ์šฉ๋˜๋˜ ์‹ฑํฌ๋กœ๋‚˜์ด์ €๋ฅผ ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž๋™ํ™”ํ•œ ์ž๋™ํ™” ์ˆ˜๋™ ๋ณ€์†๊ธฐ, ๋“€์–ผ ํด๋Ÿฌ์น˜ ๋ณ€์†๊ธฐ์™€ ๊ฐ™์€ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์ž๋™์ฐจ ๋ณ€์†๊ธฐ์—์„œ๋Š” ์ฐจ๋Ÿ‰์˜ ์ฃผํ–‰ ๊ด€์„ฑ๊ณผ ์—ฐ๊ฒฐ๋œ ํ•˜๋‚˜์˜ ๊ด€์„ฑ์„ ๋ฌดํ•œ ๊ด€์„ฑ์œผ๋กœ ๊ฐ€์ •ํ•˜๊ณ  ๊ด€์„ฑ์ด ์ž‘์€ ํšŒ์ „์ฒด๊ฐ€ ๋™๊ธฐํ™”๋˜๋Š” ๊ฒƒ์œผ๋กœ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„์„ ์˜ˆ์ธกํ•œ๋‹ค. ๋ฐ˜๋ฉด, ๋ณ€์† ์‹œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ์ „/ํ›„๋‹จ์˜ ๋™๋ ฅ์„ ์ฐจ๋‹จํ•˜๋Š” ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„ ํŠธ๋ž™ํ„ฐ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ์˜ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ์‚ฌ์šฉ ํ™˜๊ฒฝ์€ ์ž๋™์ฐจ ๋ณ€์†๊ธฐ์™€ ๋งŽ์€ ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ํŠธ๋ž™ํ„ฐ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ์˜ ์‚ฌ์šฉ ํ™˜๊ฒฝ์— ์ ํ•ฉํ•œ ์ด์ค‘ ํšŒ์ „ ๊ด€์„ฑ์„ ๊ณ ๋ คํ•œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹ ๋ฐ ์˜ˆ์ธก ํ•ด์„ ๋ชจ๋ธ๊ณผ DC๋ชจํ„ฐ๋ฅผ ์ด์šฉํ•œ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ์˜ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ์ œ์–ด์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ํŠธ๋ž™ํ„ฐ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ๋Š” ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์† ์‹œ ์—”์ง„์˜ ํšŒ์ „ ๊ด€์„ฑ๊ณผ ์ฐจ๋Ÿ‰์˜ ์ฃผํ–‰ ๊ด€์„ฑ์ด ์Šต์‹ ํด๋Ÿฌ์น˜์— ์˜ํ•ด ์ฐจ๋‹จ๋˜์–ด ๋ณ€์†๊ธฐ ๋‚ด๋ถ€ ๋ถ€ํ’ˆ๋“ค์— ์˜ํ•œ ํšŒ์ „ ๊ด€์„ฑ์˜ ์ฐจ์ด๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ํฌ์ง€ ์•Š๋‹ค. ๋”ฐ๋ผ์„œ ๋ณ€์†๊ธฐ ๋‚ด ๋‘ ํšŒ์ „์ฒด์˜ ํšŒ์ „ ๊ด€์„ฑ์€ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„์— ์˜ํ–ฅ์„ ์ฃผ์–ด ๋‘ ํšŒ์ „์ฒด ์†๋„ ์‚ฌ์ด์˜ ์ž„์˜์˜ ํšŒ์ „ ์†๋„์—์„œ ๋™๊ธฐํ™”๊ฐ€ ์ด๋ฃจ์–ด์ง„๋‹ค. ์ด๋•Œ, ์Šฌ๋ฆฌ๋ธŒ์— ์ž‘์šฉํ•˜๋Š” ์ถ• ๋ฐฉํ–ฅ ํ•˜์ค‘์„ ์ผ์ฐจํ•จ์ˆ˜ ํ˜•ํƒœ์˜ ๊ฒฝ์‚ฌ ์ž…๋ ฅ ํ˜น์€ ์ผ์ • ํฌ๊ธฐ์˜ ๊ณ„๋‹จ์ž…๋ ฅ๊ณผ ๊ฒฝ์‚ฌ์ž…๋ ฅ๊ณผ ๊ณ„๋‹จ์ž…๋ ฅ์ด ๋ณตํ•ฉ์ ์œผ๋กœ ์ž‘์šฉํ•˜๋Š” ๊ฒฝ์šฐ์— ๋Œ€ํ•œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ œ์•ˆ๋œ ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹์€ ์‚ฌ์šฉ ์šฉ์ด์„ฑ์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์Šต์‹ ํด๋Ÿฌ์น˜์˜ ๋“œ๋ž˜๊ทธ ํ† ํฌ๋Š” ๊ณ ๋ ค๋˜์ง€ ์•Š์•˜๋‹ค. ์ด๊ฒƒ์€ ์ง€๊ธˆ๊นŒ์ง€ ์ž๋™์ฐจ ์ˆ˜๋™ ๋ณ€์†๊ธฐ์— ์‚ฌ์šฉ๋˜์–ด ์˜จ ํ•˜๋‚˜์˜ ํšŒ์ „ ์†๋„๋ฅผ ์ผ์ •ํ•˜๊ฒŒ ๊ฐ€์ •ํ•˜๋Š” ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹๊ณผ ๋™๊ธฐํ™” ์‹œ๊ฐ„ ๊ณ„์‚ฐ ๊ฒฐ๊ณผ์—์„œ ํฐ ์ฐจ์ด๋ฅผ ๋ณด์ธ๋‹ค. ์‹ฑํฌ๋กœ๋‚˜์ด์ €์˜ ๊ฑฐ๋™์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•œ ๋‹ค๋ฌผ์ฒด ๋™์—ญํ•™ ํ•ด์„ ์ˆ˜ํ–‰ ์‹œ ์‹œํ—˜ ์ •๋ณด๋ฅผ ํ•ด์„ ๋ชจ๋ธ์˜ ์ž…๋ ฅ ์ •๋ณด๋กœ ์‚ฌ์šฉํ•˜๋Š” ์—ญ ๋™์—ญํ•™ ํ•ด์„ ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์˜€๋‹ค. ๊ฐ€์žฅ ๊ฐ€ํ˜นํ•œ ๋ณ€์† ์กฐ๊ฑด์ธ 4๋‹จโ†’5๋‹จ ๋ณ€์†๊ณผ ํ›„์ง„ 8๋‹จโ†’์ „์ง„ 8๋‹จ ๋ณ€์†์— ๋Œ€ํ•˜์—ฌ ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ ์ถœ๋ ฅ์ถ•์˜ ์ตœ๋Œ€ ํ† ํฌ์— ๋Œ€ํ•ด์„œ ์‹œํ—˜ ๊ฒฐ๊ณผ์™€ ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋•Œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ์–‘๋‹จ์— ์žˆ๋Š” ์Šต์‹ ํด๋Ÿฌ์น˜์˜ ๋“œ๋ž˜๊ทธ ํ† ํฌ๋ฅผ ํ•ด์„ ๋ชจ๋ธ์— ๋ฐ˜์˜ํ•˜์˜€๋‹ค. ํ•ด์„๊ณผ ์‹ค์ฐจ ์‹œํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•ด ๋ณด๋ฉด, 4๋‹จโ†’5๋‹จ ๋ณ€์†์— ๋Œ€ํ•œ ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ ์ถœ๋ ฅ์ถ• ํ† ํฌ๋Š” 7.63%, ํ›„์ง„ 8๋‹จโ†’์ „์ง„ 8๋‹จ ๋ณ€์†์€ 6.34%์˜ ์ž‘์€ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ์œผ๋ฉฐ, ํ† ํฌ ๊ณก์„ ์€ ์œ ์‚ฌํ•œ ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ์Šต์‹ ํด๋Ÿฌ์น˜์˜ ๋“œ๋ž˜๊ทธ ํ† ํฌ๋ฅผ ๊ณ ๋ คํ•œ ํ•ด์„ ๊ฒฐ๊ณผ์™€ ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹์„ ์ด์šฉํ•˜์—ฌ ๊ณ„์‚ฐํ•œ ๋™๊ธฐํ™” ์‹œ๊ฐ„์€ ์ฃผ๋ณ€์†(4๋‹จโ†’5๋‹จ)๊ณผ ์ „/ํ›„์ง„(R8๋‹จโ†’F8๋‹จ) ๋ณ€์†์— ๋Œ€ํ•˜์—ฌ ๊ฐ๊ฐ 8.25%, 6.96%์˜ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์ฃผ๋ณ€์†๊ณผ ์ „/ํ›„์ง„ ๋ณ€์† ์‹œ ์—”์ง„ ํšŒ์ „ ์†๋„๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก, ์Šฌ๋ฆฌ๋ธŒ์— ์ž‘์šฉํ•˜๋Š” ์ถ• ๋ฐฉํ–ฅ ํž˜์ด ํด์ˆ˜๋ก ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„์ด ์งง์•„์ง์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹๊ณผ ๋‹ค๋ฌผ์ฒด ๋™์—ญํ•™ ํ•ด์„ ๋ชจ๋ธ์˜ ์œ ํšจ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ ์ถœ๋ ฅ์ถ•์— ์ŠคํŠธ๋ ˆ์ธ๊ฒŒ์ด์ง€๋ฅผ ๋ถ€์ฐฉํ•˜์—ฌ ๋ณ€์† ๊ณผ์ • ์ค‘ ๋ฐœ์ƒํ•˜๋Š” ํ† ํฌ๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ์ฃผ๋ณ€์† ์ƒํ–ฅ/ํ•˜ํ–ฅ ๋ณ€์†(4๋‹จโ†”5๋‹จ) ๋ฐ ์ „/ํ›„์ง„ ๋ณ€์†(R8๋‹จโ†”F8๋‹จ)์— ๋Œ€ํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์—”์ง„ ์†๋„์— ๋Œ€ํ•˜์—ฌ ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ ์ถœ๋ ฅ์ถ•์—์„œ ํ† ํฌ๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ์‹œํ—˜ ๊ฒฐ๊ณผ, ์ฃผ๋ณ€์† ์ƒํ–ฅ ๋ณ€์† ์‹œ ์ตœ๋Œ€ ์—”์ง„ ์†๋„์—์„œ ์ถœ๋ ฅ์ถ• ํ† ํฌ๊ฐ€ 29.68 Nm๋กœ ๊ฐ€์žฅ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์—”์ง„ ๊ณตํšŒ์ „ ์†๋„์ผ ๋•Œ๋ณด๋‹ค ์ถœ๋ ฅ์ถ• ํ† ํฌ๊ฐ€ 37.29 % ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, ํ›„์ง„ 8๋‹จ์—์„œ ์ „์ง„ 8๋‹จ ๋ณ€์† ์‹œ ์ตœ๋Œ€ ์—”์ง„ ์†๋„์—์„œ ์ถœ๋ ฅ์ถ• ํ† ํฌ๊ฐ€ 33.21 Nm๋กœ ๊ฐ€์žฅ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์—”์ง„ ๊ณตํšŒ์ „ ์†๋„์ผ ๋•Œ ๋ณด๋‹ค 42.92 % ๋” ํฐ ํ† ํฌ๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ์˜ ์šฉ๋Ÿ‰์„ ์„ ์ •ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ฐ€์žฅ ํฐ ๋ณ€์† ํ† ํฌ๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ๋ณ€์† ์กฐ๊ฑด์ธ ์ฃผ๋ณ€์† ์ƒํ–ฅ ๋ณ€์†(4๋‹จโ†’5๋‹จ)๊ณผ ์ „/ํ›„์ง„(R8๋‹จโ†’F8๋‹จ) ๋ณ€์†์— ๋Œ€ํ•œ ๋‹ค๋ฌผ์ฒด ๋™์—ญํ•™ ํ•ด์„ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์† ์‹œ์Šคํ…œ์„ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ์˜ ์‚ฌ์šฉ ํ™˜๊ฒฝ์— ์ ํ•ฉํ•œ ๊ตฌ์กฐ์˜ DC๋ชจํ„ฐ ์œ„์น˜ ์ œ์–ด ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. DC๋ชจํ„ฐ ์œ„์น˜ ์ œ์–ด๋ฅผ ์œ„ํ•ด PID ์ œ์–ด๊ธฐ, DOB๋ฅผ ์ ์šฉํ•œ PID ์ œ์–ด๊ธฐ, LQT ์ œ์–ด๊ธฐ์— ๋Œ€ํ•œ ๋ธ”๋ก ๋‹ค์ด์–ด๊ทธ๋žจ๊ณผ ์ƒํƒœ ๋ฐฉ์ •์‹์„ ์œ ๋„ํ•˜๊ณ  ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. DC๋ชจํ„ฐ ์ œ์–ด๋ฅผ ์œ„ํ•ด PI ๊ด€์ธก๊ธฐ๋ฅผ ์ ์šฉํ•œ ์ƒˆ๋กœ์šด ์œ„์น˜ ์ œ์–ด๊ธฐ(DeLQT)๋ฅผ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋‹ค์–‘ํ•œ ์ œ์–ด๊ธฐ์˜ ํŠน์„ฑ์„ ๋น„๊ต ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ DeLQT ์ œ์–ด๊ธฐ ์„ค๊ณ„๋ฅผ ์œ„ํ•ด ๋ธ”๋ก ๋‹ค์ด์–ด๊ทธ๋žจ์„ ์ œ์‹œํ•˜์˜€๊ณ , ์ƒํƒœ ๋ฐฉ์ •์‹์„ ์œ ๋„ํ•˜์˜€๋‹ค. ์ œ์–ด๊ธฐ๋“ค์˜ ์‘๋‹ต ํŠน์„ฑ์„ ๊ฒ€ํ† ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ž…๋ ฅ ๋ฐ ์™ธ๋ž€์— ๋Œ€ํ•œ ๋ณด๋“œ์„ ๋„๋ฅผ ์ž‘์„ฑํ•˜์˜€์œผ๋ฉฐ, ์ž…๋ ฅ์— ๋Œ€ํ•˜์—ฌ ์œ ์‚ฌํ•œ ์„ฑ๋Šฅ์„ ๋‚˜ํƒ€๋ƒˆ๊ณ  ์™ธ๋ž€์— ๋Œ€ํ•ด์„œ๋Š” DeLQT๊ฐ€ ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ณ„๋‹จ์‘๋‹ต ํŠน์„ฑ์— ๋Œ€ํ•ด ํฐ ์„ฑ๋Šฅ ์ฐจ์ด๋Š” ์—†์—ˆ์œผ๋‚˜ ์™ธ๋ž€ ์ œ๊ฑฐ ์„ฑ๋Šฅ์—์„œ๋Š” 1 Hz ์ดํ•˜์˜ ์ €์ฃผํŒŒ ์˜์—ญ์—์„œ PI ๊ด€์ธก๊ธฐ๋ฅผ ์ ์šฉํ•˜์—ฌ ์™ธ๋ž€์„ ์ถ”์ •ํ•œ DeLQT ์ œ์–ด๊ธฐ๊ฐ€ ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ์ œ์–ด๊ธฐ์˜ ์œ„์น˜ ์ œ์–ด์˜ ์ •ํ™•์„ฑ๊ณผ ์‹ ์†์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋‹ค์–‘ํ•œ ์—”์ง„์†๋„์— ๋Œ€ํ•˜์—ฌ ์™ธ๋ž€์„ ์ถ”์ •ํ•œ DeLQT ์ œ์–ด๊ธฐ๋งŒ์ด ์ •ํ™•ํ•œ ์œ„์น˜ ์ œ์–ด๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์‹ ์†ํ•œ ๋ณ€์† ์ œ์–ด๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ DeLQT ์ œ์–ด๊ธฐ๋ฅผ ์‹ค์ฐจ์— ์ ์šฉํ•˜์—ฌ, ์—ฌ๋Ÿฌ ์—”์ง„ ์†๋„์— ๋Œ€ํ•œ ์‹ค์ฐจ ์‹œํ—˜์„ ํ†ตํ•ด ์‹ ์†ํ•œ ๋ณ€์†์ด ์ด๋ฃจ์–ด์ง์„ ๊ฒ€์ฆ ํ•˜์˜€๋‹ค. ์ฃผ๋ณ€์† ์ƒํ–ฅ ๋ณ€์†์—์„œ ์—”์ง„ ์†๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์†์‹œ๊ฐ„์€ ์†๋„๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋ณ€์† ์‹œ๊ฐ„๋„ ๊ธธ์–ด์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ์— DC๋ชจํ„ฐ๋ฅผ ์ด์šฉํ•œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์† ์ œ์–ด์— ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆ๋œ ํŒŒ์›Œ์‹œํ”„ํŠธ ๋ณ€์†๊ธฐ ์‚ฌ์šฉ ํ™˜๊ฒฝ์„ ๊ณ ๋ คํ•œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹/ํ•ด์„ ๋ชจ๋ธ๊ณผ ์ œ์–ด์‹œ์Šคํ…œ์€ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์†์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•  ๋•Œ ์œ ์šฉํ•˜๊ฒŒ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค.Recently, as driver demand for vehicle convenience increases, vehicles equipped with an automatic transmission are increasing not only in the automobile industry but also in industries such as agricultural machinery and heavy machinery. accordingly, interest in power shift transmissions, such as automated manual transmissions and dual clutch transmissions, which have been automated using a synchronizer, which is mainly used for manual transmissions, continues to increase. In a manual transmission of a automotive, a single inertia connected to the driving inertia of the vehicle is assumed to be infinite inertia, and the synchronization time of the synchronizer is predicted as a small-inertia rotating body being synchronized. On the other hand, the use environment of the synchronizer of the tractor power shift transmission, which has a structure that cuts off the power of the front and rear of the synchronizer when shifting, is significantly different from the automobile transmission. Therefore, this study was conducted to develop a synchronizer synchronization time prediction equation and predictive analysis model considering a dual rotational inertia suitable for the use environment of a tractor power shift transmission and a synchronizer control system of a power shift transmission using a DC motor. The tractor power shift transmission has a relatively small difference in rotational inertia due to the internal parts of the transmission because the engine's rotational inertia and the vehicle's driving inertia are blocked by the wet clutch when the synchronizer is shifting. Therefore, the rotational inertia of the two rotating bodies in the transmission affects the synchronization time of the synchronizer, so that synchronization occurs at any rotational speed between the two rotating bodies. At this time, a synchronizer synchronization time prediction equation was proposed for the case where the axial load acting on the sleeve acts as a 1st order function Ramp input or when a Step input and Ramp and Step input are combined. However, the proposed synchronization time prediction equation does not consider the drag torque of the wet clutch to ensure ease of use. This shows a big difference results between the synchronization time prediction formula and the synchronization time calculation result that constantly assumes a single rotational speed that has been used in automobile manual transmissions. When performing multi-body dynamic analysis to understand the behavior of a synchronizer, an inverse dynamic analysis is used, which uses test information as input for an analysis model. The test results and analysis results were compared and analyzed for the maximum torque of the output shaft of the shifting actuators for the most severe shifting conditions, 4thโ†’ 5th shift and R8thโ†’F8th shift. At this time, the drag torque of the wet clutch at both sides of the synchronizer was reflected in the analysis model. as a result of the analysis and actual vehicle test, the output shaft torque of the shifting actuator for the 4th to 5th shift was 7.63%, and the R8th to F8th shift was 6.34%. the torque curve showed a similar tendency in both vehicle shift tests and analysis results. the analysis result considering the drag torque of the wet multi-plate clutch and the synchronization time calculated using the synchronization time prediction formula are 8.25%, 6.96% for the shifts of the main speed(4thโ†’5th) and F/R(R8thโ†’F8th) respectively. Showed a difference. it was shown that the synchronization time of the synchronizer was shorter as the engine speed was lower during the Main and F/R shifts, and the greater the axial force acting on the sleeve. In order to verify the effectiveness of the synchronizer synchronization time prediction formula and multibody dynamics analysis model, a strain gauge was attached to the output shaft of the shift actuator to measure the torque generated during the shift process. Torque was measured at the output shaft of the shift actuator for various engine speeds for the up/down shift (4th โ†” 5th speed) and the forward/reverse shift (R8th speed โ†” F8th speed). As a result of the test, the output shaft torque was largest at 29.68 Nm at the maximum engine speed when upshifting, and the output shaft torque was 37.29% larger than at the engine idling speed. In addition, the output shaft torque was the largest at 33.21 Nm at the maximum engine speed when shifting from the R8th to the F8th, and the torque was 42.92% greater than that at the engine idling speed. Therefore, in order to select the capacity of the shift actuator, a multibody dynamic analysis model was developed for the upshift(4thโ†’5th) and forward/reverse(R8thโ†’F8th) shifts, which are the shifting conditions that generate the largest shifting torque. In order to control the developed synchronizer shifting system, a DC motor position control method with a simplified structure suitable for the use environment of a power-shift transmission is proposed. For DC motor position control, block diagrams and state equations for PID controller, PID controller with DOB, and LQT controller were derived and analyzed. For DC motor control, a new position controller(DeLQT) using a PI observer was proposed. Based on the result of comparing and analyzing the characteristics of various controllers, a block diagram is presented for designing a DeLQT controller, and a state equation is derived. In order to study the response characteristics of the controllers, the Bode Plot for input and disturbance were prepared, and similar performance was shown for input and DeLQT showed the best performance for disturbance. There was no significant difference in performance for the step response, but it was confirmed that the DeLQT controller, which estimated the disturbance by applying the PI observer in the low frequency region below 1 Hz, was the best in the disturbance rejection performance. The accuracy and responsiveness(fast) of position control of the developed controller were verified. Only the DeLQT controller, which estimated disturbance for various engine speeds, performed accurate position control. In order to verify the rapid shift control, the DeLQT controller was applied to the vehicle, and it was verified that the rapid shift was achieved through the vehicle test for various engine speeds. As the engine speed increased in the upshift, the shift time of the synchronizer increased as the engine speed increased, confirming that the shift time also increased. It could be used to control the shifting of a synchronizer using a DC motor in a power-shift transmission. It is considered that the proposed synchronizer synchronization time prediction/analysis model and control system considering the power-shift transmission environment in this paper can be useful when developing a synchronizer transmission system์ œ 1 ์žฅ ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ ํ•„์š”์„ฑ 1 1.2 ์—ฐ๊ตฌ ๋ชฉ์  4 1.3 ๋ฌธํ—Œ ์กฐ์‚ฌ 6 1.3.1 ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์†์‹œ์Šคํ…œ 6 1.3.2 ๋‹ค๋ฌผ์ฒด ๋™์˜ํ•™ ํ•ด์„ ๋ชจ๋ธ 8 1.3.3 ์ œ์–ด์‹œ์Šคํ…œ 9 ์ œ 2 ์žฅ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์†์‹œ์Šคํ…œ 11 2.1 ๊ฐœ์š” 11 2.2 ์‹ฑํฌ๋กœ๋‚˜์ด์ € 15 2.2.1 ๊ตฌ์„ฑ์š”์†Œ ๋ฐ ๊ธฐ๋Šฅ 17 2.2.2 ๋””ํ…ํŠธ ์‹œ์Šคํ…œ 18 2.2.3 ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ณ€์† ๊ณผ์ • 21 2.3 ๋ณ€์† ๋งํฌ์‹œ์Šคํ…œ 28 2.3.1 ์ž์ฒด ์ž ๊น€ ์žฅ์น˜ 28 2.3.2 ๋ณ€์† ๋งํฌ 35 2.3.3 ๋ณ€์† ๋งํฌ ๋ณ€์† ๊ณผ์ • 41 ์ œ 3 ์žฅ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก ๋ชจ๋ธ 45 3.1 ๊ฐœ์š” 45 3.1.1 ๋Œ€์ƒ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋ฐ ์‹œ์Šคํ…œ ์ž์œ ๋„ 46 3.1.2 ๋“ฑ๊ฐ€ ํšŒ์ „ ๊ด€์„ฑ ๊ณ„์‚ฐ 47 3.1.3 ๋™๊ธฐํ™” ์‹œ๊ฐ„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์ž 49 3.2 ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹ 52 3.2.1 ๋‹จ์ผ ํšŒ์ „ ๊ด€์„ฑ์„ ๊ณ ๋ คํ•œ ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹ 52 3.2.2 ์ด์ค‘ ํšŒ์ „ ๊ด€์„ฑ์„ ๊ณ ๋ คํ•œ ๋™๊ธฐํ™” ์‹œ๊ฐ„ ์˜ˆ์ธก์‹ 57 3.3 ๋‹ค๋ฌผ์ฒด ๋™์—ญํ•™ ํ•ด์„ ๋ชจ๋ธ 66 3.3.1 ๋‹ค๋ฌผ์ฒด ๋™์—ญํ•™ ํ•ด์„ ๋ชจ๋ธ๋ง 67 3.3.2 ๋‹จ์ผ ํšŒ์ „๊ด€์„ฑ์„ ๊ณ ๋ คํ•œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ํ•ด์„ ๋ชจ๋ธ 76 3.3.3 ์ด์ค‘ ํšŒ์ „๊ด€์„ฑ์„ ๊ณ ๋ คํ•œ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ํ•ด์„ ๋ชจ๋ธ 77 ์ œ 4 ์žฅ ์‹ฑํฌ๋กœ๋‚˜์ด์ € ํ•ด์„ ๋ชจ๋ธ ๊ฒ€์ฆ 79 4.1 ๊ฐœ์š” 79 4.2 ์‹œํ—˜์žฅ์น˜ ๋ฐ ๊ต์ • 79 4.2.1 ์‹œํ—˜ ์žฅ์น˜ 80 4.2.2 ๊ต์ • ์ž‘์—… 81 4.2.3 ์‹ฑํฌ๋กœ๋‚˜์ด์ € ์„ค๊ณ„ ๋ณ€์ˆ˜ 83 4.2.4 ์„ค๊ณ„ ๋ณ€์ˆ˜ ๊ฒฐ์ • 87 4.3 ์‹ค์ฐจ ๋ณ€์† ์‹œํ—˜ 87 4.3.1 ์‹œํ—˜ ์กฐ๊ฑด 88 4.3.2 ์ฃผ๋ณ€์† ๋ณ€์† ์‹œํ—˜ 89 4.3.3 ์ „-ํ›„์ง„ ๋ณ€์† ์‹œํ—˜ 93 4.4 ํ•ด์„ ๋ชจ๋ธ ์œ ํšจ์„ฑ ๊ฒ€์ฆ 98 4.4.1 ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ ์ถœ๋ ฅ์ถ• ํ† ํฌ ๋น„๊ต 98 4.4.2 ์‹ฑํฌ๋กœ๋‚˜์ด์ € ๋™๊ธฐํ™” ์‹œ๊ฐ„ ๊ฒ€์ฆ 105 4.5 ๋ณ€์† ์—‘์ถ”์—์ดํ„ฐ ์šฉ๋Ÿ‰ ์„ ์ • 112 4.6 ์‹ฑํฌ๋กœ๋‚˜์ด์ € ์ œ์–ด ์‚ฌ์–‘ ์„ค์ • 114 ์ œ 5 ์žฅ DC๋ชจํ„ฐ ์ œ์–ด์‹œ์Šคํ…œ 117 5.1 DC๋ชจํ„ฐ์˜ ๊ฐœ์š” 117 5.1.1 DC๋ชจํ„ฐ์˜ ๊ตฌ์กฐ 117 5.1.2 DC๋ชจํ„ฐ์˜ ๋ชจ๋ธ๋ง 118 5.1.3 DC๋ชจํ„ฐ์˜ ์‘๋‹ต ํŠน์„ฑ 121 5.2 DC๋ชจํ„ฐ ์œ„์น˜ ์ œ์–ด๊ธฐ 126 5.2.1 ๋ชจํ„ฐ ์ œ์–ด์‹œ์Šคํ…œ 127 5.2.2 DC๋ชจํ„ฐ ๊ตฌ๋™์‹œ์Šคํ…œ์˜ ์ƒํƒœ ๋ฐฉ์ •์‹ 130 5.2.3 DC๋ชจํ„ฐ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜ 132 5.2.3.1 PID ์ œ์–ด๊ธฐ 132 5.3.2.2 ์™ธ๋ž€ ๊ด€์ธก๊ธฐ๋ฅผ ๊ฐ–๋Š” DOB-PID ์ œ์–ด๊ธฐ 134 5.3.2.3 ์„ ํ˜• ์žฌ์ฐจ ์ถ”์ (LQT) ์ œ์–ด๊ธฐ 136 5.3.2.4 PI ๊ด€์ธก๊ธฐ๋ฅผ ๊ฐ–๋Š” DeLQT ์ œ์–ด๊ธฐ 139 5.3 ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์„ฑ๋Šฅ ๋น„๊ต 142 ์ œ 6 ์žฅ DC๋ชจํ„ฐ ์ œ์–ด์‹œ์Šคํ…œ ๊ฒ€์ฆ 146 6.1 ์œ„์น˜ ์ œ์–ด์˜ ์ •ํ™•์„ฑ 146 6.2 ์ œ์–ด์˜ ์‘๋‹ต์„ฑ 151 ์ œ 7 ์žฅ ๊ฒฐ ๋ก  160 ์ฐธ๊ณ  ๋ฌธํ—Œ 164 ๋ถ€ ๋ก A. Hamiltonian Equation 168 ๋ถ€ ๋ก B. DC๋ชจํ„ฐ ๊ตฌ๋™์„ ์œ„ํ•œ ์ „๋ ฅ ๋ณ€ํ™˜ ์žฅ์น˜ 170 Abstract 175Docto

    Volume 3 โ€“ Conference

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    We are pleased to present the conference proceedings for the 12th edition of the International Fluid Power Conference (IFK). The IFK is one of the worldโ€™s most significant scientific conferences on fluid power control technology and systems. It offers a common platform for the presentation and discussion of trends and innovations to manufacturers, users and scientists. The Chair of Fluid-Mechatronic Systems at the TU Dresden is organizing and hosting the IFK for the sixth time. Supporting hosts are the Fluid Power Association of the German Engineering Federation (VDMA), Dresdner Verein zur Fรถrderung der Fluidtechnik e. V. (DVF) and GWT-TUD GmbH. The organization and the conference location alternates every two years between the Chair of Fluid-Mechatronic Systems in Dresden and the Institute for Fluid Power Drives and Systems in Aachen. The symposium on the first day is dedicated to presentations focused on methodology and fundamental research. The two following conference days offer a wide variety of application and technology orientated papers about the latest state of the art in fluid power. It is this combination that makes the IFK a unique and excellent forum for the exchange of academic research and industrial application experience. A simultaneously ongoing exhibition offers the possibility to get product information and to have individual talks with manufacturers. The theme of the 12th IFK is โ€œFluid Power โ€“ Future Technologyโ€, covering topics that enable the development of 5G-ready, cost-efficient and demand-driven structures, as well as individual decentralized drives. Another topic is the real-time data exchange that allows the application of numerous predictive maintenance strategies, which will significantly increase the availability of fluid power systems and their elements and ensure their improved lifetime performance. We create an atmosphere for casual exchange by offering a vast frame and cultural program. This includes a get-together, a conference banquet, laboratory festivities and some physical activities such as jogging in Dresdenโ€™s old town.:Group 8: Pneumatics Group 9 | 11: Mobile applications Group 10: Special domains Group 12: Novel system architectures Group 13 | 15: Actuators & sensors Group 14: Safety & reliabilit

    Actuators for Intelligent Electric Vehicles

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    This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs

    Designing Innovative Electronic Systems to Face the Challenges of Feasibility and Performance in Sensing and Control Applications

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    This thesis reports the results obtained during a three year research program on electronic systems design. Two advanced applications in the field of sensing and control electronics are analysed and discussed, with a particular emphasis on the design solutions which allowed to improve the performance provided by the state-of-the-art and, at the same time, to implement new functionalities previously considered unfeasible. The first application is focused on the design, implementation and test of a long--range optical fibre Distributed Temperature Sensor (DTS). A new architecture, aiming to address the main design issues related to the sensing range extension and to the measurement time reduction, is presented. A low-noise APD-based optoelectronic front-end allows to optimize the input signal-to-noise ratio (SNR) of the system. A high level of configurability is also obtained by allowing the user to control the gain and offset of the amplification chain, as well as to fine tune the APD bias voltage and operating temperature. This way, the optimum multiplication factor of the APD, which ensures the best available input SNR, can easily be selected. Signals are acquired through a flexible ADC/FPGA-based platform. Here, a set of decimation and interleaved sampling algorithms allows to efficiently exploit the available memory resources and reach long measurement ranges. Finally, a patented SNR enhancing technique based on laser pulse coding allows to efficiently apply, for the first time, Simplex codes to long-range DTS systems, and therefore to significantly reduce the measurement time. A prototype, which is able to cover distances up to 87.4 km with a spatial resolution of just 1.3 m, has been implemented. Preliminary tests on a 20 km range, carried out without coding, show a performance comparable with the state-of-the-art. The benefits of the coding technique have been instead evaluated on a 10 km range. It has been proved that an outstanding measurement time reduction up to 95 % with respect to conventional long-range uncoded systems is achievable. The second application is instead focused on the development of automotive embedded systems for Formula SAE vehicles. For the first time, linear Voice Coil Actuators (VCAs) have been used to implement a robotized shift-by-wire system, which has been applied to the gear and the clutch devices of the first student-build race car developed at the University of Pisa. A numerical model of the electromechanical system allows to properly size the actuators, so as to obtain a shifting performance better than any other known solution adopted for Formula SAE vehicles. A DSP-based Gear Control Unit (GCU), has been specifically designed to implement the upshift, downshift and car start procedures, and to direct drive the actuators. On-track tests show that the achieved upshift time is just 40 ms, i.e. less than half of the one provided by counterparts. Moreover, a data logging system and a telemetry system have been also implemented. Both are based on a 16 MHz, 8 b microcontroller and communicate with other on-board units through the CAN bus. The first is able to record on a removable SD card the information related to the speed of wheels, the suspensions stroke and the steering angle, as well as the data coming from a 3-axial accelerometer, a gyroscope and a GPS. Using a 2 GB card, signals can be logged for 97 h with a 40 Hz sampling frequency, which is a very good result if compared with commercially available products. Acquired data are also sent over the CAN bus and made available to other units. On the other hand, the telemetry system is composed by two twin units, one on-board and one connected to a PC via USB. The on-board unit listens to CAN activity and forwards messages to the PC unit over a 2.4 GHz wireless encrypted link. A custom developed LabVIEW application allows for the real-time monitoring of the vehicle status and for a rapid fault detection. The radio link is bidirectional, so that the PC is also able to send CAN messages back to on-board units, such as the GCU, and configure their parameters remotely. These capabilities, along with a maximum outdoor range of 2 km, make the system very interesting with respect to other Formula SAE products available on the market

    MSFC Skylab Apollo Telescope Mount

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    A technical history and management critique of the Skylab Apollo Telescope Mount (ATM) from initial conception through the design, manufacturing, testing and prelaunch phases is presented. A mission performance summary provides a general overview of the ATM's achievements in relationship to its design goals. Recommendations and conclusions applicable to hardware design, test program philosophy and performance, and program management techniques for the ATM with potential application to future programs are also discussed

    Future Transportation

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    Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others

    Space Mechanisms Lessons Learned Study. Volume 2: Literature Review

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    Hundreds of satellites have been launched to date. Some have operated extremely well and others have not. In order to learn from past operating experiences, a study was conducted to determine the conditions under which space mechanisms (mechanically moving components) have previously worked or failed. The study consisted of an extensive literature review that included both government contractor reports and technical journals, communication and visits (when necessary) to the various NASA and DOD centers and their designated contractors (this included contact with project managers of current and prior NASA satellite programs as well as their industry counterparts), requests for unpublished information to NASA and industry, and a mail survey designed to acquire specific mechanism experience. The information obtained has been organized into two volumes. Volume 1 provides a summary of the lesson learned, the results of a needs analysis, responses to the mail survey, a listing of experts, a description of some available facilities, and a compilation of references. Volume 2 contains a compilation of the literature review synopsis
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