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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2000, Vol. 1 Issue (1): 61-65    DOI: 10.1631/jzus.2000.0061
Science & Engineering     
A REAL-TIME ADAPTIVE CONTROL ALGORITHM USING NEURAL NETS WITH PERTURBATION
YANG Jian-gang, WANG Kai, YANG Hua-yong, ZHANG Jian-min
Insitiute of Artificial Intelligence, Dept.of Computer Science, The State Key Laboratory of\nFluid Power Transmission and Control, Yuquan Campus of Zhejiang University, Hangzhou,310027, China
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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.

Key words： neural nets      real-time control      VVVF hydraulic elevator     
Received: 12 December 1998     
CLC:  TP183  
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YANG Jian-gang
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ZHANG Jian-min
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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. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2000, 1(1): 61-65.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2000.0061     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2000/V1/I1/61

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