12 research outputs found

    Modeling of Soft Fiber-Reinforced Bending Actuators

    Get PDF
    published_or_final_versio

    ๊ผฌ๋ฆฌ๋‚ ๊ฐœ ์—†๋Š” ๋‚ ๊ฐฏ์ง“ ์ดˆ์†Œํ˜• ๋น„ํ–‰์ฒด์˜ ์ž์„ธ์กฐ์ ˆ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2020. 8. ๊น€ํ˜„์ง„.์ตœ๊ทผ ์ƒ์ฒด๋ชจ๋ฐฉ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ปค์ง€๋ฉด์„œ ์ƒ๋ช…์ฒด์˜ ๊ตฌ์กฐ, ์™ธํ˜•, ์›€์ง์ž„, ํ–‰๋™์„ ๋ถ„์„ํ•˜์—ฌ ๊ทธ๋“ค์˜ ์žฅ์ ์„ ๋กœ๋ด‡์— ์ ์šฉ์‹œ์ผœ ๊ธฐ์กด์˜ ๋กœ๋ด‡์ด ํ•ด๊ฒฐํ•  ์ˆ˜ ์—†๊ฑฐ๋‚˜ ํŠน๋ณ„ํ•œ ์ž„๋ฌด๋ฅผ ์ข€ ๋” ํšจ๊ณผ, ํšจ์œจ์ ์œผ๋กœ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ์‹œ๋„๊ฐ€ ๋Š˜์–ด๋‚˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ๋„๋Š” ๋ฌด์ธ๋น„ํ–‰์ฒด ๊ฐœ๋ฐœ์—๋„ ์ ์šฉ๋˜๊ณ  ์žˆ์œผ๋ฉฐ ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๊ฐ€ ์ด์— ํ•ด๋‹น๋œ๋‹ค. ๋‚ ๊ฐœ์ง“ ๋น„ํ–‰์ฒด๋Š” ๋‚ ๊ฐœ์˜ ๋ฐ˜๋ณต์šด๋™์„ ํ†ตํ•ด ๋ฐœ์ƒํ•˜๋Š” ํž˜์„ ํ†ตํ•ด ๋น„ํ–‰ํ•˜๋Š” ๋น„ํ–‰์ฒด๋กœ ์ผ๋ฐ˜์ ์œผ๋กœ ๊ผฌ๋ฆฌ๋‚ ๊ฐœ์˜ ์œ ๋ฌด์— ๋”ฐ๋ผ ์ƒˆ๋ฅผ ๋ชจ๋ฐฉํ•œ ๋น„ํ–‰์ฒด(๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด)์™€ ๊ณค์ถฉ์„ ๋ชจ๋ฐฉํ•œ ๋น„ํ–‰์ฒด(๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด)๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด์˜ ๊ฒฝ์šฐ ์ œ์ž๋ฆฌ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๊ณ , ํฌ๊ธฐ๊ฐ€ ์ž‘๊ณ  ๋ฌด๊ฒŒ๊ฐ€ ๊ฐ€๋ฒผ์›Œ ๊ณต๊ธฐ์ €ํ•ญ๋„ ์ค„์ผ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋‚ ๋ ตํ•œ ๋น„ํ–‰์ด ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์žฅ์ ์ด ์žˆ์ง€๋งŒ, ์ˆ˜๋™ ์•ˆ์ •์„ฑ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•œ ์ œ์–ด๋ฉด์ด ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๊ณ  ์ถ”๋ ฅ ์ƒ์„ฑ๊ณผ ๋™์‹œ์— 3์ถ•์œผ๋กœ์˜ ์ œ์–ด ๋ชจ๋ฉ˜ํŠธ๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋Š” ๋ณต์žกํ•œ ๋งค์ปค๋‹ˆ์ฆ˜์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ํŠน์ง•์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ €์ž์˜ ๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด์˜ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ์‚ฌ๋ก€๋ฅผ ํ† ๋Œ€๋กœ ์ž์œจ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์š”์†Œ๊ธฐ์ˆ ๋“ค๊ณผ ์ดˆ๊ธฐ ๋น„ํ–‰์ฒด ๊ฐœ๋ฐœ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ํ•ด๋‹น ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ์ €์ž๋Š” ์‹œ์ค‘์—์„œ ํŒ๋งค๋˜๊ณ  ์žˆ๋Š” RC์žฅ๋‚œ๊ฐ์„ ํ™œ์šฉํ•ด 30 gram ์ดํ•˜์˜ ๋ฌด๊ฒŒ๋ฅผ ๊ฐ€์ง€๊ณ  30cm3 ์ด๋‚ด์˜ ํฌ๊ธฐ๋ฅผ ๊ฐ€์ง€๋Š” ๋ฌด๋ฏธ์ตํ˜• ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๋ฅผ ๊ฐœ๋ฐœ์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๋น„ํ–‰์ฒด ๋‚ด๋ถ€์—๋Š” ๊ตฌ๋™๊ธฐ๋กœ DC ๋ชจํ„ฐ์™€ ์„œ๋ณด๋ชจํ„ฐ๊ฐ€ ์กด์žฌํ•˜๋ฉฐ, DC ๋ชจํ„ฐ๋Š” ๋‚ ๊ฐฏ์ง“์„ ์ผ์œผํ‚ค๋Š” ๊ธฐ์–ด ๋ฐ•์Šค๋ฅผ ์ž‘๋™์‹œ์ผœ ๋น„ํ–‰์ฒด์˜ ๋ฌด๊ฒŒ๋ฅผ ์ง€ํƒฑํ•˜๊ธฐ ์œ„ํ•œ thrust๋ฅผ ์ƒ์„ฑํ•˜๋ฉฐ roll์ถ• ๋ฐฉํ–ฅ์œผ๋กœ์˜ moment ์ƒ์„ฑ์— ๊ด€์—ฌํ•˜๋ฉฐ, ์„œ๋ณด๋ชจํ„ฐ๋Š” ๋‚ ๊ฐฏ์ง“์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ขŒ์šฐ thrust์˜ ๋ฐฉํ–ฅ์„ ์กฐ์ ˆํ•˜์—ฌ pitch ์™€ yaw ์ถ•์œผ๋กœ์˜ ๋ชจ๋ฉ˜ํŠธ๋ฅผ ์ƒ์„ฑํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋œ๋‹ค. ๋น„ํ–‰์ฒด ๋‚ด๋ถ€์—๋Š” ์•„๋‘์ด๋…ธ ๋ณด๋“œ ๊ธฐ๋ฐ˜์˜ ๋งˆ์ดํฌ๋กœํ”„๋กœ์„ธ์„œ๊ฐ€ ํƒ‘์žฌ๋˜์–ด ์žˆ์–ด ๋น„ํ–‰์ฒด๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•œ ์‹ ํ˜ธ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๋ธ”๋ฃจํˆฌ์Šค ํ†ต์‹  ๋ชจ๋“ˆ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์™ธ๋ถ€์™€ ํ†ต์‹  ์—ญ์‹œ ๊ฐ€๋Šฅํ•˜๋‹ค. ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ตฌ๋™๊ธฐ์˜ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํž˜์˜ ๋ฌผ๋ฆฌ๋Ÿ‰์„ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋‚ ๊ฐฏ์ง“ ๋ฉ”์ปค๋‹ˆ์ฆ˜์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํž˜์„ ์ธก์ •ํ•˜๋Š” ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ธก์ •์‹คํ—˜์„ ํ†ตํ•ด DC๋ชจํ„ฐ ์ž…๋ ฅ ๋Œ€๋น„ thrust ํฌ๊ธฐ, ์„œ๋ณด๋ชจํ„ฐ command ์ž…๋ ฅ ๋Œ€๋น„ moment ํฌ๊ธฐ ๋“ฑ์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๋ฅผ ๊ณต์ค‘์— ๋„์šธ ์ˆ˜ ์žˆ๋Š” ์ถฉ๋ถ„ํ•œ ํฌ๊ธฐ์˜ thrust๋ฅผ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ ์ž์„ธ ์ œ์–ด๋ฅผ ์œ„ํ•œ ๋ชจ๋ฉ˜ํŠธ ์ƒ์„ฑ ์—ญ์‹œ ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” 3์ถ• ๋ฐฉํ–ฅ์œผ๋กœ์˜ ์šด๋™๋ฐฉ์ •์‹์„ ์œ ๋„ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด roll, pitch, yaw ์ถ• ๋ฐฉํ–ฅ์œผ๋กœ ๋น„ํ–‰์ฒด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํž˜๊ณผ ํšŒ์ „ ์šด๋™๊ณผ ๊ด€๋ จํ•œ ์šด๋™๋ฐฉ์ •์‹์„ ์œ ๋„ํ–ˆ์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์•ˆ์ •ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” PID ์ œ์–ด๊ธฐ ํ˜•ํƒœ์˜ ์ œ์–ด๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๋น„ํ–‰์ฒด์˜ ๊ถค์ ์ถ”์ข… ์ œ์–ด๋ฅผ ์œ„ํ•ด ๋‚ด๋ถ€์˜ ์ž์„ธ ์ œ์–ด๊ธฐ์— ๋น„ํ–‰์ฒด์˜ ์œ„์น˜๋ฅผ ํ† ๋Œ€๋กœ ๊ณ„์‚ฐ๋˜๋Š” ์ถ”๊ฐ€์ ์ธ ์™ธ๋ถ€ ์ œ์–ด๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์—ฌ ์ด์ค‘๋ฃจํ”„ ์ œ์–ด๊ธฐ ํ˜•ํƒœ๋ฅผ ์ ์šฉ์‹œ์ผœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋น„ํ–‰์ฒด์˜ ์ž์„ธ ์ œ์–ด์™€ ๊ถค์  ์ถ”์ข… ์ œ์–ด๊ฐ€ ์ด๋ฃจ์–ด์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœํ•œ ๋น„ํ–‰์ฒด์™€ ์•ž์„œ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ๊ฐ€ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž๋Š” ์„ฑ๋Šฅ์„ ๋‚ด๋Š”์ง€ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์ž์ด๋กœ ์‹คํ—˜์žฅ์น˜๋ฅผ ์ œ์ž‘ํ•˜์—ฌ ์ž์„ธ ์ œ์–ด ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ํ•ด๋‹น ์‹คํ—˜์žฅ์น˜๋Š” roll, pitch, yaw ์ถ•์œผ๋กœ ํšŒ์ „์ด ๊ฐ€๋Šฅํ•˜๋„๋ก ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ ์‹คํ—˜์žฅ์น˜ ์ž์ฒด์˜ ๋ฌด๊ฒŒ๋ฅผ ์ค„์ด๊ธฐ ์œ„ํ•ด MDF ์†Œ์žฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌ์กฐ๋ฌผ๋ฅผ ๋งŒ๋“ค์—ˆ๋‹ค. roll, pitch, yaw 3์ถ•์ด ๊ฐ๊ฐ ๋…๋ฆฝ์ ์œผ๋กœ ์ œ์–ดํ•˜๋Š” ๊ฒƒ๊ณผ 3์ถ•์„ ๋™์‹œ์— ์ œ์–ดํ•˜๋Š” 2๊ฐ€์ง€ ์ƒํ™ฉ์„ ๊ณ ๋ คํ•˜์˜€์œผ๋ฉฐ ์•ž์„œ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ๊ฐ€ ํ•ด๋‹น ์‹คํ—˜ ์žฅ์น˜ ๋‚ด๋ถ€์—์„œ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž๊ฒŒ ์ œ์–ด ์„ฑ๋Šฅ์„ ๋ณด์ด๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ถค์  ์ถ”์ข…์ œ์–ด๋ฅผ ์œ„ํ•ด์„œ๋Š” 2๊ฐ€์ง€ ๋น„ํ–‰ ์ƒํ™ฉ์„ ์„ค์ •ํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ ๊ฒฝ์šฐ, ์ฒœ์žฅ๊ณผ ๋น„ํ–‰์ฒด ์ƒ๋‹จ๋ถ€์— ์‹ค์„ ์—ฐ๊ฒฐํ•˜์—ฌ 2D ํ‰๋ฉด์ƒ์—์„œ ๋น„ํ–‰์ฒด๊ฐ€ ์ฃผ์›Œ์ง„ ๊ถค์ ์— ๋”ฐ๋ผ ์›€์ง์ด๋Š”์ง€, ๋‘ ๋ฒˆ์งธ ๊ฒฝ์šฐ, ๋น„ํ–‰์ฒด ์ƒ๋‹จ๋ถ€์— ํ—ฌ๋ฅจ์ด ์ฃผ์ž…๋œ ํ’์„ ์„ ์—ฐ๊ฒฐ์‹œ์ผœ 3D ๊ณต๊ฐ„์ƒ์—์„œ ์ฃผ์›Œ์ง„ ๊ถค์ ์„ ๋”ฐ๋ผ ์ถ”์ข… ๋น„ํ–‰ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. ๋‘ ๊ฐ€์ง€ ์ƒํ™ฉ์—์„œ ๋ชจ๋‘ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๊ถค์ ์„ ๋น„ํ–‰์ฒด๊ฐ€ ์ž˜ ์ถ”์ข…ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋์œผ๋กœ, ์™ธ๋ถ€ ์žฅ์น˜(์‹ค, ํ’์„ )๋ฅผ ์ œ๊ฑฐํ•˜์—ฌ ๊ณต์ค‘์—์„œ ๋น„ํ–‰์ฒด๊ฐ€ ์ œ์ž๋ฆฌ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ, 15์ดˆ๊ฐ€๋Ÿ‰ 1m3 ๊ณต๊ฐ„ ๋‚ด์—์„œ ์ œ์ž๋ฆฌ ๋น„ํ–‰์ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค.Flapping wing micro air vehicles (FWMAVs) that generate thrust and lift by flapping their wings are regarded as promising flight vehicles because of their advantages in terms of similar appearance and maneuverability to natural creatures. Reducing weight and air resistance, insect-inspired tailless FWMAVs are an attractive aerial vehicle rather than bird-inspired FWMAVs. However, they are challenging platforms to achieve autonomous flight because they have insufficient control surfaces to secure passive stability and a complicated wing mechanism for generating three-axis control moments simultaneously. In this thesis, as preliminary autonomous flight research, I present the study of an attitude regulation and trajectory tracking control of a tailless FWMAV developed. For these tasks, I develop my platform, which includes two DC motors for generating thrust to support its weight and servo motors for generating three-axis control moments to regulate its flight attitude. First, I conduct the force and moment measurement experiment to confirm the magnitude and direction of the lift and moment generated from the wing mechanism. From the measurement test, it is confirmed that the wing mechanism generates enough thrust to float the vehicle and control moments for attitude regulation. Through the dynamic equations in the three-axis direction of the vehicle, a controller for maintaining a stable attitude of the vehicle can be designed. To this end, a dynamic equation related to the rotational motion in the roll, pitch, and yaw axes is derived. Based on the derived dynamic equations, we design a proportional-integral-differential controller (PID) type controller to compensate for the attitude of the vehicle. Besides, we use a multi-loop control structure (inner-loop: attitude control, outer-loop: position control) to track various trajectories. Simulation results show that the designed controller is effective in regulating the platforms attitude and tracking a trajectory. To check whether the developed vehicle and the designed controller are operating effectively to regulate its attitude, I design a lightweight gyroscope apparatus using medium-density-fiberboard (MDF) material. The rig is capable of freely rotating in the roll, pitch, and yaw axes. I consider two situations in which each axis is controlled independently, and all axes are controlled simultaneously. In both cases, attitude regulation is properly performed. Two flight situations are considered for the trajectory tracking experiment. In the first case, a string connects between the ceiling and the top of the platform. In the second case, the helium-filled balloon is connected to the top of the vehicle. In both cases, the platform tracks various types of trajectories well in error by less than 10 cm. Finally, an experiment is conducted to check whether the tailless FWMAV could fly autonomously in place by removing external devices (string, balloon), and the tailless FWMAV flies within 1 m^3 space for about 15 seconds1.Introduction 1 1.1 Background & Motivation 1 1.2 Literature review 3 1.3 Thesis contribution 7 1.4 Thesis outline 8 2.Design of tailless FWMAV 13 2.1 Platform appearance 13 2.2 Flight control system 17 2.3 Principle of actuator mechanism 18 3.Force measurement experiment 28 3.1 Measurement setup 28 3.2 Measurement results 30 4.Dynamics & Controller design 37 4.1 Preliminary 37 4.2 Dynamics & Attitude control 39 4.2.1 Roll direction 41 4.2.2 Pitch direction 43 4.2.3 Yaw direction 45 4.2.4 PID control 47 4.3 Trajectory tracking control 48 5.Attitude regulation experiments 50 5.1 Design of gyroscope testbed 50 5.2 Experimental environment 52 5.3 Roll axis free 53 5.3.1 Simulation 54 5.3.2 Experiment 55 5.4 Pitch axis free 56 5.4.1 Simulation 57 5.4.2 Experiment 58 5.5 Yaw axis free 59 5.5.1 Simulation 59 5.5.2 Experiment 60 5.6 All axes free 60 5.6.1 Simulation 60 5.6.2 Experiment 61 5.7 Design of universal joint testbed & Experiment 64 6.Trajectory tracking 68 6.1 Simulation 68 6.2 Preliminary 69 6.3 Experiment: Tied-to-the-ceiling 70 6.4 Experiment: Hung-to-a-balloon 71 6.5 Summary 72 6.6 Hovering flight 73 7.Conclusion 83 A Appendix: Wing gearbox 85 A.1 4-bar linkage structure 85 B Appendix: Disturbance observer (DOB) 87 B.1 DOB controller 87 B.2 Simulation 89 B.2.1 Step input 89 B.2.2 Sinusoid input 91 B.3 Experiment 92 References 95Docto

    Proceedings of the 2018 Canadian Society for Mechanical Engineering (CSME) International Congress

    Get PDF
    Published proceedings of the 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, hosted by York University, 27-30 May 2018

    Zur Mechanik vibrationsgetriebener Roboter fรผr terrestrische und aquatische Lokomotion

    Get PDF
    This thesis discusses the mechanics of mobile robots for terrestrial and aquatic locomotion. Vibration-driven locomotion systems are characterised by an internal periodic excitation, which is transformed to a directed motion due to asymmetric properties of the system. To perform a two-dimensional and controllable locomotion, mechanical properties of robots are investigated dependent on the frequency of the internal excitation. The mechanical description of the robots is done using analytical and numerical methods and supported by experimental studies. The applicability of the results in mobile robots is proved by prototypes.On the basis of mechanical fundamentals, terrestrial and aquatic locomotion principles are discussed and classified. Actuators are reviewed. The purpose is to evaluate the performance as vibration sources for terrestrial and aquatic systems. Piezoelectric bending elements are particular suitable for it. An extensive overview on the state of the art shows the great potential of vibration-driven locomotion systems for miniaturised applications in technics.Systems with bristles can perform unidirectional terrestrial locomotion. Different working principles of bristles are studied based on a rigid body model and experimental investigations. A prototype for the locomotion in tubes is presented. To perform a controllable two-dimensional locomotion with only one actuator, it is needed to overcome the limits of rigid body systems. The applied approach uses the frequency-dependent vibration behaviour of elastic systems, like beams and plates. Models of continuum mechanics and finite element methods are used and supported by experiments. Based on the investigations, a programmable and remote controlled prototype is developed. The locomotion of it can be controlled on different surfaces by a change of the excitation frequency. The velocity of the prototype is up to 100 mm/s and it can support five times its own weight.Concluding, an innovative prototype with a single piezoelectric actuator for a controllable locomotion on flat ground and floating in fluids is developed. The terrestrial and aquatic locomotion behaviour of the robot is investigated. The carrying capacity of it is calculated using a hydrostatic model.Die Mechanik von mobilen Robotern fรผr terrestrische und aquatische Lokomotion ist der Gegenstand der Arbeit. In den untersuchten Systemen wird die periodische Erregung eines inneren Antriebs durch nicht symmetrische Systemeigenschaften in eine gerichtete Fortbewegung gewandelt. Durch die Nutzung des frequenzabhรคngigen Schwingungsverhaltens von elastischen Systemen, wie Balken oder Platten, werden Systeme realisiert, die durch nur einen Antrieb eine steuerbare zweidimensionale Lokomotion auf festem Untergrund und an der Oberflรคche von Flรผssigkeiten durchfรผhren kรถnnen. Der Schwerpunkt der Arbeit liegt auf der mathematisch-mechanischen Beschreibung der Roboter mittels analytischer und numerischer Methoden sowie ihrer experimentellen Untersuchung. Prototypen mobiler Roboter dienen dem funktionellen Nachweis.Auch im Buchhandel erhรคltlich: Zur Mechanik vibrationsgetriebener Roboter fรผr terrestrische und aquatische Lokomotion / Felix Becker Ilmenau : Univ.-Verl. Ilmenau, 2015. - XIX, 149 S. ISBN 978-3-86360-124-9 URN urn:nbn:de:gbv:ilm1-2015000338 Preis (Druckausgabe): 21,30

    International Workshop on MicroFactories (IWMF 2012): 17th-20th June 2012 Tampere Hall Tampere, Finland

    Get PDF
    This Workshop provides a forum for researchers and practitioners in industry working on the diverse issues of micro and desktop factories, as well as technologies and processes applicable for micro and desktop factories. Micro and desktop factories decrease the need of factory floor space, and reduce energy consumption and improve material and resource utilization thus strongly supporting the new sustainable manufacturing paradigm. They can be seen also as a proper solution to point-of-need manufacturing of customized and personalized products near the point of need

    Bioinspired Jumping Locomotion for Miniature Robotics

    Get PDF
    In nature, many small animals use jumping locomotion to move in rough terrain. Compared to other modes of ground locomotion, jumping allows an animal to overcome obstacles that are relatively large compared to its size. In this thesis we outline the main design challenges that need to be addressed when building miniature jumping robots. We then present three novel robotic jumpers that solve those challenges and outperform existing similar jumping robots by one order of magnitude with regard to jumping height per size and weight. The robots presented in this thesis, called EPFL jumper v1, EPFL jumper v2 and EPFL jumper v3 have a weight between 7g and 14.3g and are able to jump up to 27 times their own size, with onboard energy and control. This high jumping performance is achieved by using the same mechanical design principles as found in jumping insects such as locusts or fleas. Further, we present a theoretical model which allows an evaluation whether the addition of wings could potentially allow a jumping robot to prolong its jumps. The results from the model and the experiments with a winged jumping robot indicate that for miniature robots, adding wings is not worthwhile when moving on ground. However, when jumping from an elevated starting position, adding wings can lead to longer distances traveled compared to jumping without wings. Moreover, it can reduce the kinetic energy on impact which needs to be absorbed by the robot structure. Based on this conclusion, we developed the EPFL jumpglider, the first miniature jumping and gliding robot that has been presented so far. It has a mass of 16.5g and is able to jump from elevated positions, perform steered gliding flight, land safely and locomote on ground with repetitive jumps1. ______________________________ 1See the collection of the accompanying videos at http://lis.epfl.ch/microglider/moviesAll.zi

    Design of Flying Robots for Collision Absorption and Self-Recovery

    Get PDF
    Flying robots have the unique advantage of being able to move through the air unaffected by the obstacles or precipices below them. This ability quickly becomes a disadvantage, however, as the amount of free space is reduced and the risk of collisions increases. Their sensitivity to any contact with the environment have kept them from venturing beyond large open spaces and obstacle-free skies. Recent efforts have concentrated on improving obstacle detection and avoidance strategies, modeling the environment and intelligent planning to navigate ever tighter spaces while remaining airborne. Though this strategy is yielding impressive and improving results, it is limited by the quality of the information that can be provided by on-board sensors. As evidenced by insects that collide with windows, there will always be situations in which sensors fail and a flying platform will collide with the obstacles around it. It is this fact that inspired the topic of this thesis: enabling flying platforms to survive and recover from contact with their environment through intelligent mechanical design. There are three main challenges tackled in this thesis: robustness to contact, self-recovery and integration into flight systems. Robustness to contact involves the protection of fast-spinning propellers, the stiff inner frame of a flying robot and its embedded sensors from damage through the elastic absorption of collision energy. A method is presented for designing protective structures that transfer the lowest possible amount of force to the platform's frame while simultaneously minimizing weight and thus their effect on flight performance. The method is first used to design a teardrop-shaped spring configuration for absorbing head-on collisions typically experienced by winged platforms. The design is implemented on a flying platform that can survive drops from a height of 2 m. A second design is then presented, this time using springs in a tetrahedral configuration that absorb energy through buckling. When embedded into a hovering platform the tetrahedral protective mechanisms are able to absorb dozens of high-speed collisions while significantly reducing the forces on the platforms frame compared to foam-based protection typically used on other platforms. Surviving a collision is only half of the equation and is only useful if a flying platform can subsequently return to flight without requiring human intervention, a process called self-recovery. The theory behind self-recovery as it applies to many types of flying platforms is first presented, followed by a method for designing and optimizing different types of self-recovery mechanisms. A gravity-based mechanism is implemented on an ultra-light (20.5 g) wing-based platform whose morphology and centre of gravity are optimized to always land on its side after a collision, ready to take off again. Such a mechanism, however, is limited to surfaces that are flat and obstacle-free and requires clear space in front of the platform to return to the air. A second, leg-based self-recovery mechanism is thus designed and integrated into a second hovering platform, allowing it to upright into a vertical takeoff position. The mechanism is successful in returning the platform to the air in a variety of complex environments, including sloped surfaces, corners and surface textures ranging from smooth hardwood to gravel and rocks. In a final chapter collision energy absorption and self-recovery mechanisms are integrated into a single hovering platform, the first example of a flying robot capable of crashing into obstacles, falling to the ground, uprighting and returning to the air, all without human intervention. These abilities are first demonstrated through a contact-based random search behaviour in which the platform explores a small enclosed room in complete darkness. After each collision with a wall the platform falls to the ground, recovers and then continues exploring. In a second experiment the platform is programmed with a basic phototaxis behaviour. Using only four photodiodes that provide a rough idea of the bearing to a source of light the platform is able to consistently cross a 13x2.2mcorridor and traverse a doorway without using any obstacle avoidance, modeling or planning

    Factories of the Future

    Get PDF
    Engineering; Industrial engineering; Production engineerin

    Using MapReduce Streaming for Distributed Life Simulation on the Cloud

    Get PDF
    Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conwayโ€™s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MRโ€™s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithmsโ€™ performance on Amazonโ€™s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp
    corecore