In this paper an adaptive robust control scheme along with its simulation on quadrotor is presented to deal with payload variation and unknown disturbance. Parametric and nonparametric uncertainties in the quadrotor model always make it difficult to design a controller to meet the performance requirement in various conditions during flight time. Adaptive robust backstepping (ARB) control, which is based on improved Lyapunov theory, is suggested to solve the problem. The proposed control scheme introduces piecewise functions into parameter adaptation law and control law to avoid control chattering while the Lyapunov function uniformly bounded is used. This choice not only provides guaranteed transient and asymptotic tracking performance but also precisely estimates the system parameters. Promising simulation results in different environments are carried out to demonstrate the efficiency and robustness of ARB control, and its advantages are indicated in comparison with conventional PID controller.
목차
Abstract 1. Introduction 1.1 Paper Contribution 2. System Modeling 2.1 Quadrotor Description 2.2 Dynamics Equation of Motion 3. Control Strategy 3.1 System Structure 3.2 Altitude Control 3.3 Performance Analysis 3.4 Control of Attitude 3.5 Thrust Allocation Algorithm 4. Simulation Results 4.1 Absence of Payload Variation and Disturbance 4.2 Payload Variation Only 4.3 Disturbance Only 4.4 Disturbance & Payload Variation 5. Conclusion References
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.9 No.3