Design and analysis of direct-action CMAC PID controller

Authors:
Hung-Ching Lu;Jui-Chi Chang;Ming-Feng Yeh
Affiliations:
Department of Electrical Engineering, Tatung University, No. 40, Sec. 3, Chung Shan North Road, Taipei 104, Taiwan;Department of Electrical Engineering, Tatung University, No. 40, Sec. 3, Chung Shan North Road, Taipei 104, Taiwan;Department of Electrical Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan
Venue:
Neurocomputing
Year:
2007

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Abstract

This paper is to propose a direct-action (DA) cerebellar model articulation controller (CMAC) proportional-integral-derivative (PID) controller. The proposed controller, termed the DAC-PID controller, can generate four simple types of the nonlinear functions and then determine a control effort from those functions to control the process. In addition, the real-coded genetic algorithm is used to tune the parameters of the DAC-PID controller such that we can optimize those parameters. The performance of the proposed controller is also discussed in the sense of quantitative analysis. Simulation results demonstrate that the DAC-PID controller is superior to the conventional PID controller tuned by Ziegler-Nichols method and, moreover, as better as the optimal PID controller and the optimal fuzzy-PID controller.