Journal of System Simulation
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
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