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Journal of Zhejiang University SCIENCE A 2000 Vol.1 No.1 P.61-65

http://doi.org/10.1631/jzus.2000.0061


A REAL-TIME ADAPTIVE CONTROL ALGORITHM USING NEURAL NETS WITH PERTURBATION


Author(s):  YANG Jian-gang, WANG Kai, YANG Hua-yong, ZHANG Jian-min

Affiliation(s):  Insitiute of Artificial Intelligence, Dept.of Computer Science, The State Key Laboratory of Fluid Power Transmission and Control, Yuquan Campus of Zhejiang University, Hangzhou,310027, China

Corresponding email(s): 

Key Words:  neural nets, real-time control, VVVF hydraulic elevator


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YANG Jian-gang, WANG Kai, YANG Hua-yong, ZHANG Jian-min. A REAL-TIME ADAPTIVE CONTROL ALGORITHM USING NEURAL NETS WITH PERTURBATION[J]. Journal of Zhejiang University Science A, 2000, 1(1): 61-65.

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Abstract: 
This paper proposes an adaptive algorithm of neural nets with a special perturbation for a real time velocity control system of a VVVF(Variable Voltage Variable Frequency) hydraulic elevator. The weight vector of the neural network is adaptively adjusted by the LMS (Least Mean Square) with perturbation, so it is not necessary to know the nonlinear continuous function of the control system. The nonlinear velocity control system is considered as the controller output function in an adaptive controller model. The experimental results obtained from the VVVF hydraulic elevator showed that the neural nets controller using the perturbation algorithm proposed are much stabler and faster in dynamic response compared with the conventional PID (Proportion-Integration-Derivation) controller.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Albus, J. S., 1975. A new approach to manipulator control: the cerebellar model articulation controller (CMAC). Journal of Dynamic System, Measurement and Control, Trans. ASME, 97(3): 220-227.

[2]Miller, W. T., Hewes, R. P., Glanz, F. H., et al., 1990. Real-time dynamic control of an industrial manipulator using a neural-network-based learning controller. IEEE Trans. on Robotics and Automation, 6(1): 1-9.

[3]Yang, Jiangang, 1993, Real time dynamic control of a double inverted pendulum using ameliorated CMAC network. The 1st Congress of Post-Doctoral of China ,National Defense Industry Press, Beijing, p.358-361.

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