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Adaptive PID regulator based on neural network for DC motor speed control

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3 Author(s)
Shumei Zhang ; Inst. of Automotive Electron. Technol., Shanghai Jiao Tong Univ., Shanghai, China ; Xiang Zhou ; Lin Yang

This paper investigates the use of an adaptive PID controller to reduce a DC motor speed pulsation such that the robust stability for the closed-loop system is guaranteed. .The APID control scheme tunes the PID controller parameters by using the theory of adaptive interaction. A neural network was applied in the adaptive algorithm to regulate a set of PID parameters by minimizing an error function.Both computer simulations and bench test rig experiments are used to validate the proposed control scheme.

Published in:

Electrical and Control Engineering (ICECE), 2011 International Conference on

Date of Conference:

16-18 Sept. 2011