Intelligent Information Control for Air System

Abstract:

PID control has been widely applied in the industrial process control because of its robust and easy realization, but it is difficult to tune the parameters of PID controller, which often leads to oscillation and overshoot. Due to no repetition and random of adaptive fuzzy PID control, the authors propose a method to search for normalization PID controller parameters based on adaptive fuzzy PID control, which can be expected to have higher ability of searching for global optimal PID parameters according to the performance index of control system . The MATLAB simulation of the Adaptive fuzzy PID controller and a PID controller were carried out on the Air Conditioning System temperature. Results showed that: Response time of Adaptive fuzzy PID was 0.46 s., and maximum overshoot didn’t exceed 3.29%.The stability accuracy and rapidity of the system were able to satisfy the Air Conditioning System technical requirements.

• Periodical: Applied Mechanics and Materials (Volume 310)
• Pages: 502-505
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.310.502
• Online since: February 2013
• Authors: Jun Zhou
• Keywords: Adaptive Fuzzy Control, Air System, Intelligent Control

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