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

Authors

Zongshuai Li, 1.School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300,China; ;
Sibo Zhang, 2.Beijing Institute of Spacecraft System Engineering, Beijing 100094, China;

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.

Recommended Citation

Li, Zongshuai and Zhang, Sibo (2019) "Designing a Self-Adaptive Fuzzy PID Controller for Aircraft Cabin Temperature," Journal of System Simulation: Vol. 30: Iss. 11, Article 41.
DOI: 10.16182/j.issn1004731x.joss.201811041
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/41

First Page

4395

Revised Date

2018-07-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811041

Last Page

4402

CLC

TP181

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.201811041