Polynomial Controller Design Using Disturbance Observer

Author:

Han Hugang, ,Lam Hak-Keung,

Abstract

Disturbance observer-based control provides a promising approach to handle system disturbance and improve robustness. In this paper, a new fuzzy disturbance observer (FDO) is proposed into the SOS-based approach, where the polynomial fuzzy model is used to develop the system controller. Compared with other works published so far, the FDO mainly features two things: 1) the estimation error between the FDO and disturbance shrinks asymptotically to zero if the disturbance has a constant steady-state value; 2) parameters involved in the FDO is adjusted on the basis of the polynomial fuzzy model which is basically nonlinear. Finally, computer simulations are provided to illustrate the effectiveness of the proposed approach.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Control Approach Based on Observers of State and Uncertainty for a Class of Takagi–Sugeno Fuzzy Models;Journal of Advanced Computational Intelligence and Intelligent Informatics;2021-05-20

2. Optimally robust H∞ polynomial fuzzy controller design using quantum-inspired evolutionary algorithm;International Journal of Systems Science;2018-08-07

3. A Design of Fuzzy Controller based on State and Disturbance Observers;IEEJ Transactions on Electronics, Information and Systems;2018-06-01

4. Fuzzy-approximator-based adaptive controller design using Nussbaum-type function;IEEJ Transactions on Electrical and Electronic Engineering;2018-03-26

5. Sum-of-squares-based robust H∞ controller design for discrete-time polynomial fuzzy systems;Journal of the Franklin Institute;2018-01

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