Robust Control Design of Uncertain Mechanical Systems: A Fuzzy Approach

Author:

Chen Xianmin1,Wang Yong2,Zhen Shengchao23,Huang Kang2,Zhao Han2,Chen Ye-Hwa3

Affiliation:

1. University of Science and Technology of China, Hefei, Anhui 230026, China

2. School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, Anhui 230009, China

3. The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA

Abstract

We first investigate the fundamental properties of the mechanical system as related to the control design. Then a new robust control is proposed for mechanical systems with fuzzy uncertainty. Fuzzy set theory is used to describe the uncertainty in the mechanical system. The desirable system performance is deterministic. The proposed control is deterministic and is not the usual if-then rules-based. The resulting controlled system is uniformly bounded and uniformly ultimately bounded proved via the Lyapunov minimax approach. The resulting control design is systematic and is able to render the deterministic performance. A mechanical system is chosen for demonstration.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 4 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. Adaptive Fuzzy Backstepping and Backstepping Sliding Mode Controllers Based on ICD Observer: A Comparative Study;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2024-03

2. Adaptive Fuzzy Logic Controllers Using Hybrid Genetic Algorithms;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2019-02

3. A Review of Uncertainty Handling Techniques in Smart Grid;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2018-05-30

4. Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease;Applied Intelligence;2017-09-06

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