Predictive Control Based on Fuzzy Expert PID Tuning Control

Abstract:

In decade years, several simple methods for the automatic tuning of PID controllers have been proposed. There have been different approaches to the problem of deriving a PID-like adaptive controller. All of these can be classified into two broad categories: model-based; or expert systems. In this paper a new expert adaptive controller is proposed in which the underlying control law is a PID structure. The design is based on the fuzzy logic and the generalized predictive control theory. The proposed controller can be applied to a large class of systems which is model uncertainty or strong non-linearity. Simulation results have also been illustrated. It shows that the proposed expert PID-like controller performed well than generally used PID.

• Periodical: Advanced Materials Research (Volumes 466-467)
• Pages: 1207-1211
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.466-467.1207
• Online since: February 2012
• Authors: Zheng Zai Qian, Gong Cai Xin, Jin Niu Tao
• Keywords: Adaptive Controller, Fuzzy Control, PID Control, Predictive Control

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