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2014•Transactions of the Society of Instrument and Control EngineersOpen access

On Digital Implementation of Intelligent PID Control Systems

Tomoya ONAKA, Ichiro Maruta, Toshiharu Sugie

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Abstract

This paper is concerned with applicability of the digitally implemented intelligent PID control. First, a stability condition of the intelligent PID control systems is given for a class of linear plants when the controller including derivatives are implemented digitally. Second, some simulation results are given to show the effectiveness of the intelligent PID controller and validity of the stability condition. Furthermore, experimental validation for the intelligent PID controller is performed by using a servo motor control.

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What this paper is about

This paper is concerned with applicability of the digitally implemented intelligent PID control. First, a stability condition of the intelligent PID control systems is given for a class of linear plants when the controller including derivatives are implemented digitally. Second, some simulation results are given to show the effectiveness of the intelligent PID controller and validity of the stability condition. Furthermore, experimental validation for the intelligent PID controller is performed by using a servo motor control.

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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

This paper is concerned with applicability of the digitally implemented intelligent PID control. First, a stability condition of the intelligent PID control systems is given for a class of linear plants when the controller including derivatives are implemented digitally. Second, some simulation results are given to show the effectiveness of the intelligent PID controller and validity of the stability condition. Furthermore, experimental validation for the intelligent PID controller is performed by using a servo motor control.

Key concepts: PID controller, Control theory (sociology), Control engineering, Intelligent control, Stability (learning theory), Computer science, Controller (irrigation), Servomotor

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