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Neuron adaptive PID control for position tracking control of automatic clutch(PDF)

[ISSN:1007-449X/CN:23-1 408/TM]

Issue:
2008年05
Page:
555-560
Research Field:
Publishing date:

Info

Title:
Neuron adaptive PID control for position tracking control of automatic clutch
Author(s):
XIE Xian-pingWANG Xu-dongWU Xiao-gangYU Teng-wei
School of Electrical & Electronic Engineering, Harbin University of Science & Technology
Keywords:
neurons automatic clutch position tracking self-adaptive PID control
PACS:
TM921.54
DOI:
-
Abstract:
Accurate and quick position tracking of automatic clutch is difficult on account of its nonlinear character. A new clutch actuating mechanism with a whirl spring was devised for torque compensation to reduce the load of DC actuator and improve the dynamic performance of system firstly, then a neuron adaptive PID controller with feedforward and adjustable gain was designed. The feedforward control was able to accelerate the response of controller, and the weight of neuron was adaptively adjusted by self-study function, and PSD algorithm was proposed to adjust its gain. The experiment results show that with the controller the position tracking error is smaller than common controller; and the controller can adapt to the nonlinear change of clutch load and target engaging speed, so it has good robustness and can meet the demand of position tracking control.

References:

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Memo

Memo:
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Last Update: 2008-12-12