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2012•International Conference on Electric Information and Control EngineeringRequires access

Research on Intelligent Liquid Level Control Based on Expert-Fuzzy Adaptive PID Algorithm

Yan Hong, Jingming Su, Chaoli Tang

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Abstract

To improve the performance of the traditional liquid level control system, a kind of expert-fuzzy adaptive PID controller which combined the virtues of advanced fuzzy PID and expert PID algorithms was proposed. After that, this controller was transplanted into embedded system to implement the single-container liquid-level control. Results show that this mixed controller has features of strong capability of anti-interference, good robustness, quick response inherited from expert PID and dynamic adaptability derived from fuzzy PID.

About this research paper

What this paper is about

To improve the performance of the traditional liquid level control system, a kind of expert-fuzzy adaptive PID controller which combined the virtues of advanced fuzzy PID and expert PID algorithms was proposed. After that, this controller was transplanted into embedded system to implement the single-container liquid-level control. Results show that this mixed controller has features of strong capability of anti-interference, good robustness, quick response inherited from expert PID and dynamic adaptability derived from fuzzy PID.

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Available abstract

To improve the performance of the traditional liquid level control system, a kind of expert-fuzzy adaptive PID controller which combined the virtues of advanced fuzzy PID and expert PID algorithms was proposed. After that, this controller was transplanted into embedded system to implement the single-container liquid-level control. Results show that this mixed controller has features of strong capability of anti-interference, good robustness, quick response inherited from expert PID and dynamic adaptability derived from fuzzy PID.

Key concepts: PID controller, Robustness (evolution), Adaptability, Control theory (sociology), Fuzzy logic, Computer science, Fuzzy control system, Control engineering

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