Adaptive fault tolerant attitude tracking control for a quadrotor with input saturation and full-state constraints

2017 ◽  
Author(s):  
Ziqian Zhao ◽  
Zewei Zheng ◽  
Ming Zhu ◽  
Zhe Wu
Keyword(s):  
Tracking Control ◽  
State Constraints ◽  
Fault Tolerant ◽  
Input Saturation ◽  
Attitude Tracking ◽  
Full State ◽  
Attitude Tracking Control ◽  
Full State Constraints

scholarly journals Distributed Robust Tracking Control for Multiple Euler–lagrange Systems With Full-state Constraints and Input Saturation via Event-triggered Control

2021 ◽  
Author(s):  
Haitao liu ◽  
Guangshuo Du ◽  
Xuehong Tian ◽  
Lanping Zou
Keyword(s):  
Tracking Control ◽  
State Constraints ◽  
Input Saturation ◽  
Communication Delay ◽  
External Disturbances ◽  
Position Information ◽  
Delay Function ◽  
Full State ◽  
Full State Constraints ◽  
Event Triggered

Abstract In this paper, the issue of distributed tracking control is studied for multiple Euler–Lagrange systems in presence of external disturbances and input saturation. Specifically, the full-state constraints, input saturation, communication delay, and unmeasured velocity are also considered simultaneously. Firstly, an adaptive distributed state observer is introduced to obtain the leader's time-varying position information, at the same time, a delay function is employed to compensate the communication delay. Moreover, the event-triggered control scheme is developed to reduce communication source and computation load, and the anti-saturation compensation algorithm is exploited to compensate for the influence of system saturation. Thirdly, an adaptive law is designed to offset external disturbances. What’s more, the high-gain observer is used to estimate the unmeasured velocities. Theorem analysis shows that the system errors can converge to zero. Finally, numerical simulations are present to verify the effectiveness of the proposed control strategy.

scholarly journals Adaptive Neural Fault-Tolerant Control for the Yaw Control of UAV Helicopters with Input Saturation and Full-State Constraints

2020 ◽  
Vol 10 (4) ◽  
pp. 1404 ◽  
Author(s):  
Qiang Zhang ◽  
Xia Chen ◽  
Dezhi Xu
Keyword(s):  
Nonlinear System ◽  
State Constraints ◽  
Fault Tolerant ◽  
Input Saturation ◽  
Robust Adaptive Control ◽  
Lyapunov Theory ◽  
Parameter Uncertainties ◽  
Yaw Control ◽  
Full State ◽  
Full State Constraints

In this paper, an adaptive neural fault-tolerant tracking control scheme is presented for the yaw control of an unmanned-aerial-vehicle helicopter. The scheme incorporates a non-affine nonlinear system that manages actuator faults, input saturation, full-state constraints, and external disturbances. Firstly, by using a Taylor series expansion technique, the non-affine nonlinear system is transformed into an affine-form expression to facilitate the desired control design. In comparison with previous techniques, the actuator efficiency is explicit. Then, a neural network is considered to approximate unknown nonlinear functions, and a time-varying barrier Lyapunov function is employed to prevent transgression of the full-state variables using a backstepping technique. Robust adaptive control laws are designed to handle parameter uncertainties and unknown bounded disturbances to cut down the number of learning parameters and simplify the computational burden. Moreover, an auxiliary system is constructed to guarantee the pitch angle of the UAV helicopter yaw control system to satisfy the input constraint. Uniform boundedness of all signals in a closed-loop system is ensured via Lyapunov theory; the tracking error converges to a small neighborhood near zero. Finally, when the numerical simulations are applied to a yaw control of helicopter, the adaptive neural controller demonstrates the effectiveness of the proposed technique.

scholarly journals Trajectory tracking control of unmanned surface vessels with input saturation and full-state constraints

2018 ◽  
Vol 15 (5) ◽  
pp. 172988141880811 ◽  
Author(s):  
Hongde Qin ◽  
Chengpeng Li ◽  
Yanchao Sun ◽  
Zhongchao Deng ◽  
Yuhan Liu
Keyword(s):  
Trajectory Tracking ◽  
Tracking Control ◽  
State Constraints ◽  
Input Saturation ◽  
Adaptive Method ◽  
Trajectory Tracking Control ◽  
Control Approach ◽  
Surface Vessels ◽  
Full State ◽  
Full State Constraints

This article investigates the trajectory tracking control problem for unmanned surface vessels with input saturation and full-state constraints. The barrier Lyapunov function is used to solve the problem of state constraints, and the adaptive method is employed to handle the unknown random disturbances and saturation problems. The proposed control approach can guarantee that the control law and signals of closed-loop system are uniformly bounded and achieve the asymptotic tracking. Finally, simulation studies are provided to show the effectiveness of the proposed method.

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