Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor

Euntai Kim; Sungryul Lee

doi:10.1109/TFUZZ.2005.859306

Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor

Euntai Kim, Sungryul Lee

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

92 Citations (Scopus)

Abstract

One of the most important objectives in the design of control systems is to achieve the good tracking performance in the presence of the internal parameter uncertainty and external disturbance. In this paper, a new multiple-input-multiple-output (MIMO) fuzzy disturbance observer (FDO) based on output measurement is developed to achieve the goal. A filtered signal is introduced to resolve the algebraic loop encountered in the conventional FDO. The contribution of the disturbance observation error ζ to updating the parameters of the fuzzy system is analyzed in the sense of L₂ and L_∞. Then, the MIMO FDO is modified and the high gain observer (HGO) is employed to implement the output tracking control system. It is shown in a rigorous manner that the disturbance observation error, the tracking error and the state observation error converge to a compact set of which size can be kept arbitrarily small. Finally, the suggested method is applied to the speed control of a permanent magnet synchronous motor (PMSM) in the presence of the internal parameter uncertainty and external disturbance. The effectiveness and the feasibility of the suggested method are demonstrated by computer simulation.

Original language	English
Pages (from-to)	725-741
Number of pages	17
Journal	IEEE Transactions on Fuzzy Systems
Volume	13
Issue number	6
DOIs	https://doi.org/10.1109/TFUZZ.2005.859306
Publication status	Published - 2005 Dec

Bibliographical note

Funding Information:
Manuscript received October 5, 2002; revised May 5, 2003, January 31, 2004, and February 22, 2005. This paper was performed for the Intelligent Robotics Development Program, one of the 21st Century Frontier R&D Programs funded by the Ministry of Commerce, Industry, and Energy of Korea. The authors are with the School of Electrical and Electronic Engineering, Yonsei University Seoul 120-749, Korea (e-mail: etkim@yonsei.ac.kr). Digital Object Identifier 10.1109/TFUZZ.2005.859306

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computational Theory and Mathematics
Artificial Intelligence
Applied Mathematics

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abstract = "One of the most important objectives in the design of control systems is to achieve the good tracking performance in the presence of the internal parameter uncertainty and external disturbance. In this paper, a new multiple-input-multiple-output (MIMO) fuzzy disturbance observer (FDO) based on output measurement is developed to achieve the goal. A filtered signal is introduced to resolve the algebraic loop encountered in the conventional FDO. The contribution of the disturbance observation error ζ to updating the parameters of the fuzzy system is analyzed in the sense of L2 and L∞. Then, the MIMO FDO is modified and the high gain observer (HGO) is employed to implement the output tracking control system. It is shown in a rigorous manner that the disturbance observation error, the tracking error and the state observation error converge to a compact set of which size can be kept arbitrarily small. Finally, the suggested method is applied to the speed control of a permanent magnet synchronous motor (PMSM) in the presence of the internal parameter uncertainty and external disturbance. The effectiveness and the feasibility of the suggested method are demonstrated by computer simulation.",

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Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor

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