2008Unpublished venueRequires access

Application of fuzzy PID control in the heating system

Qingjie Yang, Guohou Li, Xusheng Kang

Open publisher page 11 citations

Abstract

Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. The design method about fuzzy PID control can be divided two steps: the first step is to build the fuzzy tuning rules by analysis, and to obtain the parameters of PID controller by reasoning, and then the control action can be determined by the PID control law. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system.

About this research paper

What this paper is about

Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. The design method about fuzzy PID control can be divided two steps: the first step is to build the fuzzy tuning rules by analysis, and to obtain the parameters of PID controller by reasoning, and then the control action can be determined by the PID control law. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. The design method about fuzzy PID control can be divided two steps: the first step is to build the fuzzy tuning rules by analysis, and to obtain the parameters of PID controller by reasoning, and then the control action can be determined by the PID control law. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system.

Key concepts: PID controller, Control theory (sociology), Fuzzy control system, Control engineering, Fuzzy logic, Control system, Computer science, Controller (irrigation)

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