196 research outputs found

    ๋ฉ€ํ‹ฐ๋กœํ„ฐ ๊ธฐ๋ฐ˜ ๋‹ค๋ชฉ์  ๋น„ํ–‰ ๋กœ๋ด‡ ํ”Œ๋žซํผ์„ ์œ„ํ•œ ๊ฐ•๊ฑด ์ œ์–ด ๋ฐ ์™„์ „๊ตฌ๋™ ๋น„ํ–‰ ๋งค์ปค๋‹ˆ์ฆ˜

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€,2020. 2. ๊น€ํ˜„์ง„.์˜ค๋Š˜๋‚  ๋ฉ€ํ‹ฐ๋กœํ„ฐ ๋ฌด์ธํ•ญ๊ณต๊ธฐ๋Š” ๋‹จ์ˆœํ•œ ๋น„ํ–‰ ๋ฐ ๊ณต์ค‘ ์˜์ƒ ์ดฌ์˜์šฉ ์žฅ๋น„์˜ ๊ฐœ๋…์„ ๋„˜์–ด ๋น„ํ–‰ ๋งค๋‹ˆํ“ฐ๋ ˆ์ด์…˜, ๊ณต์ค‘ ํ™”๋ฌผ ์šด์†ก ๋ฐ ๊ณต์ค‘ ์„ผ์‹ฑ ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ์ž„๋ฌด์— ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ถ”์„ธ์— ๋งž์ถ”์–ด ๋กœ๋ณดํ‹ฑ์Šค ๋ถ„์•ผ์—์„œ ๋ฉ€ํ‹ฐ๋กœํ„ฐ ๋ฌด์ธํ•ญ๊ณต๊ธฐ๋Š” ๋ถ€๊ณผ๋œ ์ž„๋ฌด์— ๋งž์ถ”์–ด ์›ํ•˜๋Š” ์žฅ๋น„ ๋ฐ ์„ผ์„œ๋ฅผ ์ž์œ ๋กœ์ด ํƒ‘์žฌํ•˜๊ณ  ๋น„ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค๋ชฉ์  ๊ณต์ค‘ ๋กœ๋ด‡ ํ”Œ๋žซํผ์œผ๋กœ ์ธ์‹๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ์˜ ๋ฉ€ํ‹ฐ๋กœํ„ฐ ํ”Œ๋žซํผ์€ ๋Œํ’ ๋“ฑ์˜ ์™ธ๋ž€์— ๋‹ค์†Œ ๊ฐ•๊ฑดํ•˜์ง€ ๋ชปํ•œ ์ œ์–ด์„ฑ๋Šฅ์„ ๋ณด์ธ๋‹ค. ๋˜ํ•œ, ๋ณ‘์ง„์šด๋™์˜ ์ œ์–ด๋ฅผ ์œ„ํ•ด ๋น„ํ–‰ ์ค‘ ์ง€์†์ ์œผ๋กœ ๋™์ฒด์˜ ์ž์„ธ๋ฅผ ๋ณ€๊ฒฝํ•ด์•ผ ํ•ด ์„ผ์„œ ๋“ฑ ๋™์ฒด์— ๋ถ€์ฐฉ๋œ ํƒ‘์žฌ๋ฌผ์˜ ์ž์„ธ ๋˜ํ•œ ์ง€์†์ ์œผ๋กœ ๋ณ€ํ™”ํ•œ๋‹ค๋Š” ๋‹จ์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ์œ„์˜ ๋‘ ๊ฐ€์ง€ ๋ฌธ์ œ๋“ค์„ ํ•ด๊ฒฐํ•˜๊ณ ์ž ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์™ธ๋ž€์— ๊ฐ•๊ฑดํ•œ ๋ฉ€ํ‹ฐ๋กœํ„ฐ ์ œ์–ด๊ธฐ๋ฒ•๊ณผ, ๋ณ‘์ง„์šด๋™๊ณผ ์ž์„ธ์šด๋™์„ ๋…๋ฆฝ์ ์œผ๋กœ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ์™„์ „๊ตฌ๋™ ๋ฉ€ํ‹ฐ๋กœํ„ฐ ๋น„ํ–‰ ๋งค์ปค๋‹ˆ์ฆ˜์„ ์†Œ๊ฐœํ•œ๋‹ค. ๊ฐ•๊ฑด ์ œ์–ด๊ธฐ๋ฒ•์˜ ๊ฒฝ์šฐ, ๋จผ์ € ์ •ํ™•ํ•œ ๋ณ‘์ง„์šด๋™ ์ œ์–ด๋ฅผ ์œ„ํ•œ ๋ณ‘์ง„ ํž˜ ์ƒ์„ฑ ๊ธฐ๋ฒ•์„ ์†Œ๊ฐœํ•˜๊ณ  ๋’ค์ด์–ด ๋ณ‘์ง„ ํž˜ ์™ธ๋ž€์— ๊ฐ•๊ฑดํ•œ ์ œ์–ด๋ฅผ ์œ„ํ•œ ์™ธ๋ž€๊ด€์ธก๊ธฐ ๊ธฐ๋ฐ˜ ๊ฐ•๊ฑด ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์„ค๊ณ„ ๋ฐฉ์•ˆ์„ ๋…ผ์˜ํ•œ๋‹ค. ์ œ์–ด๊ธฐ์˜ ํ”ผ๋“œ๋ฐฑ ๋ฃจํ”„ ์•ˆ์ •์„ฑ์€ mu ์•ˆ์ •์„ฑ ๋ถ„์„ ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ๊ฒ€์ฆ๋˜๋ฉฐ, mu ์•ˆ์ •์„ฑ ๋ถ„์„์ด ๊ฐ€์ง€๋Š” ์—„๋ฐ€ํ•œ ์•ˆ์ •์„ฑ ๋ถ„์„์˜ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์Šค๋ชฐ๊ฒŒ์ธ ์ด๋ก  (Small Gain Theorem) ๊ธฐ๋ฐ˜์˜ ์•ˆ์ •์„ฑ ๋ถ„์„ ๊ฒฐ๊ณผ๊ฐ€ ๋™์‹œ์— ์ œ์‹œ ๋ฐ ๋น„๊ต๋œ๋‹ค. ์ตœ์ข…์ ์œผ๋กœ, ๊ฐœ๋ฐœ๋œ ์ œ์–ด๊ธฐ๋ฅผ ๋„์ž…ํ•œ ๋ฉ€ํ‹ฐ๋กœํ„ฐ์˜ 3์ฐจ์› ๋ณ‘์ง„ ๊ฐ€์†๋„ ์ œ์–ด ์„ฑ๋Šฅ ๋ฐ ํž˜ ๋ฒกํ„ฐ์˜ ํ˜•ํƒœ๋กœ ์ธ๊ฐ€๋˜๋Š” ๋ณ‘์ง„ ์šด๋™ ์™ธ๋ž€์— ๋Œ€ํ•œ ๊ทน๋ณต ์„ฑ๋Šฅ์„ ์‹คํ—˜์„ ํ†ตํ•ด ๊ฒ€์ฆํ•˜์—ฌ, ์ œ์•ˆ๋œ ์ œ์–ด๊ธฐ๋ฒ•์˜ ํšจ๊ณผ์ ์ธ ๋น„ํ–‰ ์ง€์  ๋ฐ ๊ถค์  ์ถ”์ข… ๋Šฅ๋ ฅ์„ ํ™•์ธํ•œ๋‹ค. ์™„์ „ ๊ตฌ๋™ ๋ฉ€ํ‹ฐ๋กœํ„ฐ์˜ ๊ฒฝ์šฐ, ๊ธฐ์กด์˜ ์™„์ „๊ตฌ๋™ ๋ฉ€ํ‹ฐ๋กœํ„ฐ๊ฐ€ ๊ฐ€์ง„ ๊ณผ๋„ํ•œ ์ค‘๋Ÿ‰ ์ฆ๊ฐ€ ๋ฐ ์ €์กฐํ•œ ์—๋„ˆ์ง€ ํšจ์œจ์„ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋งค์ปค๋‹ˆ์ฆ˜์„ ์†Œ๊ฐœํ•œ๋‹ค. ์ƒˆ๋กœ์šด ๋งค์ปค๋‹ˆ์ฆ˜์€ ๊ธฐ์กด ๋ฉ€ํ‹ฐ๋กœํ„ฐ์™€ ์ตœ๋Œ€ํ•œ ์œ ์‚ฌํ•œ ํ˜•ํƒœ๋ฅผ ๊ฐ€์ง€๋˜ ์™„์ „๊ตฌ๋™์„ ์œ„ํ•ด ์˜ค์ง ๋‘ ๊ฐœ์˜ ์„œ๋ณด๋ชจํ„ฐ๋งŒ์„ ํฌํ•จํ•˜๋ฉฐ, ์ด๋กœ ์ธํ•ด ๊ธฐ์กด ๋ฉ€ํ‹ฐ๋กœํ„ฐ์™€ ๋น„๊ตํ•ด ์ตœ์†Œํ•œ์˜ ํ˜•ํƒœ์˜ ๋ณ€ํ˜•๋งŒ์„ ๊ฐ€์ง€๋„๋ก ์„ค๊ณ„๋œ๋‹ค. ์ƒˆ๋กœ์šด ํ”Œ๋žซํผ์˜ ๋™์  ํŠน์„ฑ์— ๋Œ€ํ•œ ๋ถ„์„๊ณผ ํ•จ๊ป˜ ์œ ๋„๋œ ์šด๋™๋ฐฉ์ •์‹์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ 6์ž์œ ๋„ ๋น„ํ–‰ ์ œ์–ด๊ธฐ๋ฒ•์ด ์†Œ๊ฐœ๋˜๋ฉฐ, ์ตœ์ข…์ ์œผ๋กœ ๋‹ค์–‘ํ•œ ์‹คํ—˜๊ณผ ๊ทธ ๊ฒฐ๊ณผ๋“ค์„ ํ†ตํ•ด ํ”Œ๋žซํผ์˜ ์™„์ „๊ตฌ๋™ ๋น„ํ–‰ ๋Šฅ๋ ฅ์„ ๊ฒ€์ฆํ•œ๋‹ค. ์ถ”๊ฐ€์ ์œผ๋กœ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์™„์ „๊ตฌ๋™ ๋ฉ€ํ‹ฐ๋กœํ„ฐ๊ฐ€ ๊ฐ€์ง€๋Š” ์—ฌ๋ถ„์˜ ์ œ์–ด์ž…๋ ฅ(redundancy)๋ฅผ ํ™œ์šฉํ•œ ์ฟผ๋“œ์ฝฅํ„ฐ์˜ ๋‹จ์ผ๋ชจํ„ฐ ๊ณ ์žฅ ๋Œ€๋น„ ๋น„์ƒ ๋น„ํ–‰ ๊ธฐ๋ฒ•์„ ์†Œ๊ฐœํ•œ๋‹ค. ๋น„์ƒ ๋น„ํ–‰ ์ „๋žต์— ๋Œ€ํ•œ ์ž์„ธํ•œ ์†Œ๊ฐœ ๋ฐ ์‹คํ˜„ ๋ฐฉ๋ฒ•, ๋น„์ƒ ๋น„ํ–‰ ์‹œ์˜ ๋™์—ญํ•™์  ํŠน์„ฑ์— ๋Œ€ํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ๊ฐ€ ์†Œ๊ฐœ๋˜๋ฉฐ, ์‹คํ—˜๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์ œ์•ˆ๋œ ๊ธฐ๋ฒ•์˜ ํƒ€๋‹น์„ฑ์„ ๊ฒ€์ฆํ•œ๋‹ค.Recently, multi-rotor unmanned aerial vehicles (UAVs) are used for a variety of missions beyond its basic flight, including aerial manipulation, aerial payload transportation, and aerial sensor platform. Following this trend, the multirotor UAV is recognized as a versatile aerial robotics platform that can freely mount and fly the necessary mission equipment and sensors to perform missions. However, the current multi-rotor platform has a relatively poor ability to maintain nominal flight performance against external disturbances such as wind or gust compared to other robotics platforms. Also, the multirotor suffers from maintaining a stable payload attitude, due to the fact that the attitude of the fuselage should continuously be changed for translational motion control. Particularly, unstabilized fuselage attitude can be a drawback for multirotor's mission performance in such cases as like visual odometry-based flight, since the fuselage-attached sensor should also be tilted during the flight and therefore causes poor sensor information acquisition. To overcome the above two problems, in this dissertation, we introduce a robust multirotor control method and a novel full-actuation mechanism which widens the usability of the multirotor. The goal of the proposed control method is to bring robustness to the translational motion control against various weather conditions. And the goal of the full actuation mechanism is to allow the multi-rotor to take arbitrary payload/fuselage attitude independently of the translational motion. For robust multirotor control, we first introduce a translational force generation technique for accurate translational motion control and then discuss the design method of disturbance observer (DOB)-based robust control algorithm. The stability of the proposed feedback controller is validated by the mu-stability analysis technique, and the results are compared to the small-gain theorem (SGT)-based stability analysis to validate the rigorousness of the analysis. Through the experiments, we validate the translational acceleration control performance of the developed controller and confirm the robustness against external disturbance forces. For a fully-actuated multirotor platform, we propose a new mechanism called a T3-Multirotor that can overcome the excessive weight increase and poor energy efficiency of the existing fully-actuated multirotor. The structure of the new platform is designed to be as close as possible to the existing multi-rotor and includes only two servo motors for full actuation. The dynamic characteristics of the new platform are analyzed and a six-degree-of-freedom (DOF) flight controller is designed based on the derived equations of motion. The full actuation of the proposed platform is then validated through various experiments. As a derivative study, this paper also introduces an emergency flight technique to prepare for a single motor failure scenario of a multi-rotor using the redundancy of the T3-Multirotor platform. The detailed introduction and implementation method of the emergency flight strategy with the analysis of the dynamic characteristics during the emergency flight is introduced, and the experimental results are provided to verify the validity of the proposed technique.1 Introduction 1 1.1 Motivation 1 1.2 Literature survey 3 1.2.1 Robust translational motion control 3 1.2.2 Fully-actuated multirotor platform 4 1.3 Research objectives and contributions 5 1.3.1 Goal #I: Robust multirotor motion control 5 1.3.2 Goal #II: A new fully actuated multirotor platform 6 1.3.3 Goal #II-A: T3-Multirotor-based fail-safe flight 7 1.4 Thesis organization 7 2 Multi-Rotor Unmanned Aerial Vehicle: Overview 9 2.1 Platform overview 9 2.2 Mathematical model of multi-rotor UAV 10 3 Robust Translational Motion Control 13 3.1 Introduction 14 3.2 Translational force/acceleration control 14 3.2.1 Relationship between \mathbf{r} and \tilde{\ddot{\mathbf{X}}} 15 3.2.2 Calculation of \mathbf{r}_d from \tilde{\ddot{\mathbf{X}}}_d considering dynamics 16 3.3 Disturbance observer 22 3.3.1 An overview of the disturbance-merged overall system 22 3.3.2 Disturbance observer 22 3.4 Stability analysis 26 3.4.1 Modeling of P(s) considering uncertainties 27 3.4.2 \tau-determination through \mu-analysis 30 3.5 Simulation and experimental result 34 3.5.1 Validation of acceleration tracking performance 34 3.5.2 Validation of DOB performance 34 4 Fully-Actuated Multirotor Mechanism 39 4.1 Introduction 39 4.2 Mechanism 40 4.3 Modeling 42 4.3.1 General equations of motion of TP and FP 42 4.3.2 Simplified equations of motion of TP and FP 46 4.4 Controller design 49 4.4.1 Controller overview 49 4.4.2 Independent roll and pitch attitude control of TP and FP 50 4.4.3 Heading angle control 54 4.4.4 Overall control scheme 54 4.5 Simulation result 56 4.5.1 Scenario 1: Changing FP attitude during hovering 58 4.5.2 Scenario 2: Fixing FP attitude during translation 58 4.6 Experimental result 60 4.6.1 Scenario 1: Changing FP attitude during hovering 60 4.6.2 Scenario 2: Fixing FP attitude during translation 60 4.7 Applications 63 4.7.1 Personal aerial vehicle 63 4.7.2 High MoI payload transportation platform - revisit of [1] 63 4.7.3 Take-off and landing on an oscillating landing pad 64 5 Derived Research: Fail-safe Flight in a Single Motor Failure Scenario 67 5.1 Introduction 67 5.1.1 Related works 68 5.1.2 Contributions 68 5.2 Mechanism and dynamics 69 5.2.1 Mechanism 69 5.2.2 Platform dynamics 70 5.3 Fail-safe flight strategy 75 5.3.1 Fail-safe flight method 75 5.3.2 Hardware condition for single motor fail-safe flight 80 5.4 Controller design 83 5.4.1 Faulty motor detection 83 5.4.2 Controller design 84 5.4.3 Attitude dynamics in fail-safe mode 86 5.5 Experiment result 90 5.5.1 Experimental settings 90 5.5.2 Stability and control performance review 92 5.5.3 Flight results 93 6 Conclusions 96 Abstract (in Korean) 107Docto

    Avoiding contingent incidents by quadrotors due to one or two propellers failure

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    With the increasing impact of drones in our daily lives, safety issues have become a primary concern. In this study, a novel supervisor-based active fault-tolerant (FT) control system is presented for a rotary-wing quadrotor to maintain its pose in 3D space upon losing one or two propellers. Our approach allows the quadrotor to make controlled movements about a primary axis attached to the body-fixed frame. A multi-loop cascaded control architecture is designed to ensure robustness, stability, reference tracking, and safe landing. The altitude control is performed using a proportional-integral-derivative (PID) controller, whereas linear-quadratic-integral (LQI) and model-predictive-control (MPC) have been investigated for reduced attitude control and their performance is compared based on absolute and mean-squared error. The simulation results affirm that the quadrotor remains in a stable region, successfully performs the reference tracking, and ensures a safe landing while counteracting the effects of propeller(s) failures

    Fault Tolerant Control of a X8-VB Quadcopter

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    In this dissertation new modeling and fault tolerant control methodologies of a quadcopter with X8 configuration are proposed; studies done to actuators faults and possible reconfigurations are also presented. The main research effort has been done to design and implement the kinematic and dynamic model of a quadcopter with X8 configuration in Simulinkยฎ. Moreover, simulation and control of the quadcopter in a virtual reality world using Simulink3Dยฎ and real world experimental results from a quadcopter assembled for this purpose. The main contributions are the modeling of a X8 architecture and a fault tolerant control approach. In order to show the performance of the controllers in closed-loop, simulation results with the model of a X8 quadcopter and real world experiments are presented. The simulations and experiments revealed good performance of the control systems due to the aircraft model quality. The conclusion of the theoretical studies done in the field of actuatorsโ€™ fault tolerance were validated with simulation and real experiments

    Risk-sensitive motion planning for MAVs based on mission-related fault-tolerant analysis

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    Multirotor Aerial Vehicles may be fault-tolerant by design when rotor-failure is possible to measure or identify, especially when a large number of rotors are used. For instance, an octocopter can be capable to complete some missions even when a double-rotor fault occurs during the execution. In this paper, we study how a rotor-failure reduces the vehicle control admissible set and its importance with respect to the selected mission, i.e. we perform mission-related fault-tolerant analysis. Furthermore, we propose a risk-sensitive motion-planning algorithm capable to take into account the risks during the planning stage by means of mission-related fault-tolerant analysis. We show that the proposed approach is much less conservative in terms of selected performance measures than a conservative risk planner that assumes that the considered fault will certainly occur during the mission execution. As expected, the proposed risk-sensitive motion planner is also readier for accepting failures during the mission execution than the risk-insensitive approach that assumes no failure will occur

    Survey on Aerial Multirotor Design: a Taxonomy Based on Input Allocation

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    This paper reviews the impact of multirotor aerial vehicles designs on their abilities in terms of tasks and system properties. We propose a general taxonomy to characterize and describe multirotor aerial vehicles and their design, which we apply exhaustively on the vast literature available. Thanks to the systematic characterization of the designs we exhibit groups of designs having the same abilities in terms of achievable tasks and system properties. In particular, we organize the literature review based on the number of atomic actuation units and we discuss global properties arising from their choice and spatial distribution in the designs. Finally, we provide a discussion on the common traits of the designs found in the literature and the main future open problems

    Design and Fabrication of Small Vertical-Take-Off-Landing Unmanned Aerial Vehicle

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    Modern UAVs available in the market have well-developed to cater to the countless field of application. UAVs have their own limitations in terms of flight range and manoeuvrability. The traditional fixed-wing UAVs can fly for long distance but require runways or wide-open spaces for take-off and landing. On the other hand, the more trending multirotor UAVs are extremely manoeuvrable but cannot be used for long-distance flights because of their slower speeds and relatively higher consumption of energy. This study proposed the implementation of hybrid VTOL UAV which has the manoeuvring advantage of a multirotor UAV while having the ability to travel fast to reach a further distance. The design methodology and fabrication method are discussed extensively which would be followed by a number of flight tests to prove the concept. The proposed UAV would be equipped with quadcopter motors and a horizontal thrust motor for vertical and horizontal flight modes respectively

    Fault tolerant control of multi-rotor unmanned aerial vehicles using sliding mode based schemes

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    This thesis investigates fault-tolerant control (FTC) for the specific application of small multirotor unmanned aerial vehicles (Unmanned Aerial Vehicle (UAV)s). The fault-tolerant controllers in this thesis are based on the combination of sliding mode control with control allocation where the control signals are distributed based on motors' health level. This alleviates the need to reconfigure the overall structure of the controllers. The thesis considered both the over actuated (sufficient redundancy) and under-actuated UAVs. Three multirotor UAVs have been considered in this thesis which includes a quadrotor (4 rotors), an Octocopter (8 rotors) and a spherical UAV. The non-linear mathematical models for each of the UAVs are presented. One of the main contributions of this thesis is the hardware implementation of the sliding mode Fault Tolerant Control (FTC) scheme on an open-source autopilot microcontroller called Pixhawk for a quadrotor UAV. The controller was developed in Simulink and implemented on the microcontroller using the Matlab/Simulink support packages. A gimbal- based test rig was developed and built to offer a safe test bed for testing control designs. Actual flight tests were done which showed sound responses during fault-free and faulty scenarios. This work represents one of successful implementation work of sliding mode FTC in the literature. Another key contribution of this thesis is the development of the mathematical model of a unique spherical UAV with highly redundant control inputs. The use of novel 8 flaps and 2 rotors configuration of the spherical UAV considered in this thesis provides a unique fault tolerant capability, especially when combined with the sliding mode-based FTC scheme. A key development in the later chapters of the thesis considers fault-tolerant control strategy when no redundancy is available. Unlike many works which consider FTC on quadrotors in the literature (which can only handle faults), the proposed schemes in the later chapters also include cases when failures also occur converting the system to an under actuated system. In one chapter, a bespoke Linear Parameter Varying (LPV) based controller is developed for a reduced attitude dynamics system by exploiting non-standard equation of motions which relates to position acceleration and load factor dynamics. This is unique as compared to the typical Euler angle control (roll, pitch and yaw angle control). In the last chapter, a fault-tolerant control scheme which can handle both the over and under actuated system is presented. The scheme considers an octocopter and can be used in fault-free, faulty and failure conditions up to two remaining motors. The scheme exploits the differential flatness property, another unique property of multirotor UAVs. This allows both inner loop and outer loop controller to be designed using sliding mode (as opposed to many sliding mode FTC in the literature, which only considers sliding mode for the inner loop control)
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