2011•Unpublished venueRequires access

A comparative analysis of fuzzy PI and PI speed control in Brushless DC motor based on dSPACE

Mingliang Hu, Jianqi Qiu, Cenwei Shi

Open publisher page 6 citations

Abstract

This paper presents a comparative simulation and experimental studies, related to proportional plus integral (PI) and fuzzy PI speed control in Brushless DC Motor (BLDCM) based on the dSPACE real-time system. The control strategies have been designed in MATLAB/Simulink and implemented on the dSPACE platform. The on-line parameters have been debugged by ControlDesk. The speed responses, obtained under PI and fuzzy PI speed control, both in low and high speed, are recorded and compared for a variety of operating conditions. Finally, the simulation and experiment results verified the feasibility and the validity of control schemes.

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What this paper is about

This paper presents a comparative simulation and experimental studies, related to proportional plus integral (PI) and fuzzy PI speed control in Brushless DC Motor (BLDCM) based on the dSPACE real-time system. The control strategies have been designed in MATLAB/Simulink and implemented on the dSPACE platform. The on-line parameters have been debugged by ControlDesk. The speed responses, obtained under PI and fuzzy PI speed control, both in low and high speed, are recorded and compared for a variety of operating conditions. Finally, the simulation and experiment results verified the feasibility and the validity of control schemes.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a comparative simulation and experimental studies, related to proportional plus integral (PI) and fuzzy PI speed control in Brushless DC Motor (BLDCM) based on the dSPACE real-time system. The control strategies have been designed in MATLAB/Simulink and implemented on the dSPACE platform. The on-line parameters have been debugged by ControlDesk. The speed responses, obtained under PI and fuzzy PI speed control, both in low and high speed, are recorded and compared for a variety of operating conditions. Finally, the simulation and experiment results verified the feasibility and the validity of control schemes.

Key concepts: DSPACE, DC motor, MATLAB, Electronic speed control, Control theory (sociology), Computer science, Fuzzy logic, PID controller

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