Model-free neural control of a class of nonlinear plants

Zhong Zheng; Ning Wang

doi:10.1117/12.522169

2 September 2003 Model-free neural control of a class of nonlinear plants

Zhong Zheng, Ning Wang

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522169
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

Abstract

In this paper, a model-free neural controller for a class of nonlinear plants is proposed. Based on the neuron model and its learning strategy for control in reference one, the nonlinear neurocontrol method is designed. After discussing the relationship between the controller gain and the nonlinear system error or error change, the nonlinear function is used to construct the neural network model and the inputs are selected to meet control demands of nonlinear plants. To show the efficiency of the proposed controller, simulation results for the fluid level control in a spherical tank are presented.

Citation Download Citation

Zhong Zheng and Ning Wang "Model-free neural control of a class of nonlinear plants", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.522169

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