Optimal Type-2 Fuzzy Controller For HVAC Systems

被引：42
|
作者：
Khooban, Mohammad Hassan [1 ]
Abadi, Davood Nazari Maryam [1 ]
Alfi, Alireza [2 ]
Siahi, Mehdi [1 ]
机构：
[1] Islamic Azad Univ, Garmsar Branch, Dept Elect & Robot Engn, Garmsart, Iran
[2] Shahrood Univ Technol, Fac Elect & Robot Engn, Shahrood, Iran
来源：
AUTOMATIKA | 2014年 / 55卷 / 01期
关键词：
HVAC systems; Optimal Type-2 Fuzzy Proportional-Integral-Derivative controller (OT2FPIDC); Random inertia weight particle swarm optimization (RNW-PSO);
D O I：
10.7305/automatika.2014.01.219
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a novel Optimal Type-2 Fuzzy Proportional-Integral-Derivative Controller (OT2FPIDC) is designed for controlling the air supply pressure of Heating, Ventilation and Air-Conditioning (HVAC) system. The parameters of input and output membership functions, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simulation results show the superiority of the proposed controller than similar non-optimal fuzzy controller.
引用
收藏
页码：69 / 78
页数：10
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