A Novel Finite-Time Adaptive Fuzzy Tracking Control Scheme for Nonstrict Feedback Systems

2019 ◽  
Vol 27 (4) ◽  
pp. 646-658 ◽  
Author(s):  
Yang Liu ◽  
Xiaoping Liu ◽  
Yuanwei Jing ◽  
Ziye Zhang
Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.


2020 ◽  
Vol 382 ◽  
pp. 221-232
Author(s):  
Chuang Gao ◽  
Chunlei Zhang ◽  
Xiaoping Liu ◽  
Huanqing Wang ◽  
Lidong Wang

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Wenguang Zhang ◽  
Wenjun Yi

The finite-time attitude tracking control for gliding-guided projectile with unmatched and matched disturbance is investigated. An adaptive variable observer is used to provide estimation for the unmeasured state which contains unmatched disturbance. Then, an improved adaptive twisting sliding mode algorithm is proposed to compensate for the matched disturbance dynamically with better transient quality. Finally, a proof of the finite-time convergence of the closed-loop system under the disturbance observer and the adaptive twisting sliding mode-based controller is derived using the Lyapunov technique. This attitude tracking control scheme does not require any information on the bounds of uncertainties. Simulation results demonstrate that the proposed method which is able to acquire the minimum possible values of the control gains guaranteeing the finite-time convergence performs well in chattering attenuation and tracking precision.


2011 ◽  
Vol 301-303 ◽  
pp. 1384-1388
Author(s):  
Yan Yan ◽  
Shuang He Yu ◽  
Zhen Qiang Yang ◽  
Jia Lu Du

A finite-time speed tracking control for a permanent-magnet synchronous motor (PMSM) is presented. The proposed control scheme depends on finite-time convergence of a fractional power differential equation. A continuous feedback controller for a PMSM is constructed based on the double integrator form of PMSM with a tricky coordination transformation. The simulation results show its efficiency.


2018 ◽  
Vol 26 (3) ◽  
pp. 1207-1216 ◽  
Author(s):  
Fang Wang ◽  
Bing Chen ◽  
Xiaoping Liu ◽  
Chong Lin

2015 ◽  
Vol 15 (1) ◽  
pp. 34-45
Author(s):  
Sanxiu Wang ◽  
Kexin Xing ◽  
Zhengchu Wang

Abstract In this paper an adaptive fuzzy H∞ robust tracking control scheme is developed for a class of uncertain nonlinear Multi-Input and Multi-Output (MIMO) systems. Firstly, fuzzy logic systems are introduced to approximate the unknown nonlinear function of the system by an adaptive algorithm. Next, a H∞ robust compensator controller is employed to eliminate the effect of the approximation error and external disturbances. Consequently, a fuzzy adaptive robust controller is proposed, such that the tracking error of the resulting closed-loop system converges to zero and the tracking robustness performance can be guaranteed. The simulation results performed on a two-link robotic manipulator demonstrate the validity of the proposed control scheme.


Sign in / Sign up

Export Citation Format

Share Document