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2013•Unpublished venueRequires access

Optimal energy control of DC Motor speed control: Comparative study

Hari Maghfiroh, Ahmad Ataka, Oyas Wahyunggoro, Adha Imam Cahyadi

Open publisher page 24 citations

Abstract

In this paper, the speed control problem of DC Motor is presented. Three different control algorithms, namely PID, Fuzzy, and LQR were designed and implemented. These controller were applied to the DC motor, and their performance and energy controller output were compared each other on the basis of unit-step response, disturbance rejection, and signal tracking. The aim of this comparative is to find the most optimal energy controller in the same task. The simulation results show that LQR is the most optimal energy controller compare with PID and Fuzzy.

About this research paper

What this paper is about

In this paper, the speed control problem of DC Motor is presented. Three different control algorithms, namely PID, Fuzzy, and LQR were designed and implemented. These controller were applied to the DC motor, and their performance and energy controller output were compared each other on the basis of unit-step response, disturbance rejection, and signal tracking. The aim of this comparative is to find the most optimal energy controller in the same task. The simulation results show that LQR is the most optimal energy controller compare with PID and Fuzzy.

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OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, the speed control problem of DC Motor is presented. Three different control algorithms, namely PID, Fuzzy, and LQR were designed and implemented. These controller were applied to the DC motor, and their performance and energy controller output were compared each other on the basis of unit-step response, disturbance rejection, and signal tracking. The aim of this comparative is to find the most optimal energy controller in the same task. The simulation results show that LQR is the most optimal energy controller compare with PID and Fuzzy.

Key concepts: Control theory (sociology), PID controller, DC motor, Controller (irrigation), Computer science, Energy (signal processing), Electronic speed control, Control engineering

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