Decomposition of a fuzzy controller based on the inference break-up method^☆

Article type: Research Article

Authors: Golob, Marjan^{; *}

Affiliations: Laboratory for Process Automation, University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, 2000 Maribor, Slovenia

Correspondence: [*] Corresponding author. Tel.: + 386-62-220-7161; fax: +386-62-211-178; e-mail: mgolob@uni-mb.si

Note: [☆] Part of this paper has been presented at the WSC3 '98 conference.

Abstract: A concept called the decomposition of multivariable control rules is presented. Fuzzy control is the application of the compositional rule of inference and it is shown how the inference of the rule base with complex rules can be reduced to the inference of a number of rule bases with simple rules. A fuzzy logic based controller is applied to a simple magnetic suspension system. The controller has proportional, integral and derivative separate parts which are tuned independently. This means that all parts have their own rule bases. By testing it was found that the fuzzy PID controller gives better performance over a typical operational range then a traditional linear PID controller. The magnetic suspension system and the contact-less optical position measurement system have been developed and applied for the comparative analysis of the real-time conventional PID control and the fuzzy control.

Keywords: Fuzzy PID controller, Inference break-up method, Magnetic suspension system

DOI: 10.3233/IDA-1999-3204

Journal: Intelligent Data Analysis, vol. 3, no. 2, pp. 127-137, 1999