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Internal model control with a fuzzy model: application to an air-conditioning system

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3 Author(s)
Sousa, J.M. ; Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands ; Babuska, R. ; Verbruggen, H.

Fuzzy models can represent highly nonlinear processes and can smoothly integrate a priori knowledge with information obtained from process data. A nonlinear controller can be designed by incorporating an inverted fuzzy model of the process in an internal model control (IMC) scheme. This paper presents an identification procedure for a Takagi-Sugeno fuzzy model, which is based on product-space fuzzy clustering. The obtained model can be inverted analytically and hence can be easily included in a nonlinear IMC scheme. The described method is applied to temperature control in an air-conditioning system. The performance is compared with the performance of a well-tuned PID controller

Published in:

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on  (Volume:1 )

Date of Conference:

1-5 Jul 1997