Direct Inverse Control for a Conical Tank byUsing Takagi-Sugeno Fuzzy Model

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

C. S. Betancor-Martín¹  J. A. Montiel-Nelson¹  A. Vega-Martínez¹ 

[1] Dept. of Electronic Engineering and Automatics, University of Las Palmas de Gran Canaria

关键词: Inverse control;    reference model;    neural networks;    fuzzy logic;    fuzzy clustering;    nonlinear system;    conical tank;   

来源: Research & Reviews

【 摘 要 】

This paper deals with the design of a model reference direct inverse control that is applied to the liquid level process of a conical tank. We approximate the process by linear local models based on Takagi-Sugeno fuzzy modeling. Therefore, a fuzzy identification is performed by means of a fuzzy clustering algorithm. From the obtained fuzzy model and the specifications of the reference model, we implement in a neural network the controller. A set of comparisons against published results demonstrates the advantages of the proposed approach. In particular, the neural network is obtained without training and testing and its complexity in terms of neuron number is reduced. Furthermore, the robustness of the proposed controllers to changes in the plant model is demonstrated.

【 授权许可】

Unknown