Designing a Self-Adaptive Fuzzy PID Controller for Aircraft Cabin Temperature

doi:10.16182/j.issn1004731x.joss.201811041

Abstract

Abstract: The temperature control system is a highly nonlinear and uncertainty system, and using a conventional PID controller makes it difficult to achieve a good control effect. In this paper, a self-adaptive fuzzy PID controller is described. The model of controlled object is established by combining mechanism modeling with experiment. Aiming at the problem that the parameter range of the self-adaptive fuzzy PID controller varies greatly and is difficult to adjust, a new method is proposed which can easily provide a more reasonable fuzzy controller output variable range. The fuzzy rules based on experts’ experience and knowledge are adopted. The simulation model is established using MATLAB/SIMULINK. The simulation results show that the self-adaptive fuzzy PID controller has better robust performance against system parameter changes and uncertainties.

Key words: fuzzy PID controller, airplane ground air conditioner, aircraft cabin, nonlinear, uncertainty parameter

CLC Number:

TP181

Li Zongshuai, Zhang Sibo. Designing a Self-Adaptive Fuzzy PID Controller for Aircraft Cabin Temperature[J]. Journal of System Simulation, 2018, 30(11): 4395-4402.

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