Analysis and synthesis of an intelligent control system based on fuzzy logic and the PID principle

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Abstract
The analysis and design of an intelligent control system, based on the fuzzy set theory and the well known PID control principle, are carried out. The structures of fuzzy PID controllers are built up utilising expert heuristics to perform PID control actions. The properties of such controllers are investigated in terms of their non-linear equivalence, stability analysis and robustness examination. The design procedures for this type of controller are formulated using the linguistic phase-plane approach, and realised by means of the expert system and CAD techniques. The simulation of an experimental heating process regulated by a fuzzy PID controller is presented as a practical example to manifest the correctness and usefulness of the proposed analysis and design methods. The analysis and design of an intelligent control system, based on the fuzzy set theory and the well known PID control principle, are carried out. The structures of fuzzy PID controllers are built up utilising expert heuristics to perform PID control actions. The properties of such controllers are investigated in terms of their non-linear equivalence, stability analysis and robustness examination. The design procedures for this type of controller are formulated using the linguistic phase-plane approach, and realised by means of the expert system and CAD techniques. The simulation of an experimental heating process regulated by a fuzzy PID controller is presented as a practical example to manifest the correctness and usefulness of the proposed analysis and design methods.

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