A Robust Tracking Controller Design With Hierarchical Perturbation Compensation

2002 ◽  
Vol 124 (2) ◽  
pp. 261-271 ◽  
Author(s):  
SangJoo Kwon ◽  
Wan Kyun Chung

A robust tracking controller for mechanical systems is proposed by combining the robust perturbation compensator which effectively attenuates the perturbation to the plant with the nominal tracking controller designed using the sliding surface. This approach enables a smooth sliding mode in tracking control loop without chattering problem. A unified view is given on a class of perturbation observers. Three kinds of equivalent expressions for the perturbation of a plant is described. In terms of the equivalents, we propose the feedforward perturbation observer (FFPO), the feedback perturbation observer (FBPO), and the sliding mode perturbation observer (SMPO). Successively, by hierarchically adopting these three observers to attenuate the residual perturbation, the hierarchical perturbation compensator (HPC) is constructed with stability analysis. The adaptive and integral property of the HPC greatly enhances the robust performance with minimal control effort. The actuator saturation issue is also considered. Experimental results demonstrate the effectiveness of the proposed controller.

2016 ◽  
Vol 10 (9) ◽  
pp. 1009-1017 ◽  
Author(s):  
Tao Huang ◽  
Kaimin Yang ◽  
Chuxiong Hu ◽  
Yu Zhu ◽  
Min Li

2018 ◽  
Vol 41 (5) ◽  
pp. 1418-1434 ◽  
Author(s):  
B Yang ◽  
T Yu ◽  
HC Shu ◽  
W Yao ◽  
L Jiang

This paper presents the design of a sliding-mode perturbation observer-based sliding-mode control for stability enhancement of multi-machine power systems. The combinatorial effect of nonlinearities, parameter uncertainties, unmodelled dynamics and time-varying external disturbances is aggregated into a perturbation, which is rapidly estimated by a sliding-mode state and perturbation observer and then fully compensated by a sliding-mode controller in real time. The attractiveness of the sliding surface is analysed theoretically in the context of the Lyapunov criterion. The proposed control does not require an accurate system model and only one state measurement is needed. In addition, an over-conservative control effort can be effectively avoided via perturbation compensation. Simulation results for a three-machine power system and the New England power system verify the effectiveness of the proposed approach.


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