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PID Controller Design for MIMO Processes Using Improved Particle Swarm Optimization

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Abstract

This paper aims at the PID control system design for multivariable input and multivariable output (MIMO) processes. An improved version of a particle swarm optimization (PSO) algorithm is utilized to design PID control gains in MIMO control systems. In addition to the individual best and the global best particles, the velocity updating formula of the developed algorithm includes a new factor, the best particle of each sub-population, to enhance the search capacity. Based on the improved particle swarm optimization (IPSO), a complete design strategy is proposed for MIMO PID control systems. All control gains will be evolved to the optimal values by minimizing the system performance criterion. To show the efficiency of the proposed design method, a multivariable chemical process system with two inputs and two outputs is illustrated. Some experiment results, including different algorithm parameter settings and comparisons with other methods, are given. Numerical simulations indicate that the proposed method is superior to other optimal methods.

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Acknowledgements

This work was partially supported by the National Science Council of Taiwan under Grant NSC 102-2221-E-366-004.

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Authors and Affiliations

  1. Department of Computer and Communication, Shu-Te University, Kaohsiung, 824, Taiwan

    Wei-Der Chang & Chih-Yung Chen

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  1. Wei-Der Chang
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  2. Chih-Yung Chen
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Correspondence to Wei-Der Chang.

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Chang, WD., Chen, CY. PID Controller Design for MIMO Processes Using Improved Particle Swarm Optimization. Circuits Syst Signal Process 33, 1473–1490 (2014). https://doi.org/10.1007/s00034-013-9710-4

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