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Research on Fuzzy PID Control of CNC Servo System

Zhi-Wei Wan

Open publisher page 2 citations

Abstract

Widely used in the CNC servo system,the PID control method can not achieve satisfying performance and will result in a bad dynamic and static state capability if object parameters change or disturbance happens.A fuzzy PID controller combining the advantages of PID controller and fuzzy control method which can achieve self-modification of the PID parameter is designed and introduced to CNC servo system in this paper.Simulation result shows that the fuzzy PID controller has a better dynamic state performance and robustness than traditional PID controller.

About this research paper

What this paper is about

Widely used in the CNC servo system,the PID control method can not achieve satisfying performance and will result in a bad dynamic and static state capability if object parameters change or disturbance happens.A fuzzy PID controller combining the advantages of PID controller and fuzzy control method which can achieve self-modification of the PID parameter is designed and introduced to CNC servo system in this paper.Simulation result shows that the fuzzy PID controller has a better dynamic state performance and robustness than traditional PID controller.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Widely used in the CNC servo system,the PID control method can not achieve satisfying performance and will result in a bad dynamic and static state capability if object parameters change or disturbance happens.A fuzzy PID controller combining the advantages of PID controller and fuzzy control method which can achieve self-modification of the PID parameter is designed and introduced to CNC servo system in this paper.Simulation result shows that the fuzzy PID controller has a better dynamic state performance and robustness than traditional PID controller.

Key concepts: PID controller, Control theory (sociology), Servomechanism, Robustness (evolution), Control engineering, Fuzzy logic, Servo, Fuzzy control system

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