Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

PERFORMANCE IMPROVEMENT ON MOTOR BLDC SPEED CONTROLLER BY USing MULTI CONTROLLER WITH SUMMATION TECHNIQUE


DOI: 10.5937/jaes0-30440 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 19 article 868 pages: 902-909

Widjonarko*
Universitas Jember, Engineering Faculty, Electrical Engineering Department, Jember, Indonesia

Cries Avian
Politeknik Negeri Jember, Renewable Energy Engineering, Engineering Departement, Jember, Indonesia; National Taiwan University of Science and Technology, Electronic and Computer Engineering, Taipei, Taiwan

Setya Widyawan Prakosa
Universitas Jember, Engineering Faculty, Electrical Engineering Department, Jember, Indonesia; National Taiwan University of Science and Technology, Electronic and Computer Engineering, Taipei, Taiwan

Bayu Rudiyanto
Politeknik Negeri Jember, Renewable Energy Engineering, Engineering Departement, Jember, Indonesia

BLDC motor is the most widely used in the industrial world, especially in electric vehicles. With this increasing demand, a variety of research topics emerged in BLDC motors. One popular research is on BLDC motor speed control topics to maintain speed for its application, such as intelligent cruise technology in electric cars and conveyors for line assembly. However, from several existing studies, the BLDC Motor controller still uses a single controller model. The controller's output is purely from the controller without any improvement in characteristics and has a problem with the oscillating speed setpoint (error problem). In this study, the researcher proposed a combining control with the concept of summation output to handle this problem. With this concept, the control techniques used can improve each other so that better control can be produced following the control system assessment parameters. The authors used a Fuzzy Logic Controller, Artificial Neural Network (ANN), and PID, which were combined and obtained seven control systems. The results show that the control system can improve several parameters using the summation concept from the seven controllers model. It has a positive overall correlation when viewed in terms of the difference between the Error and the setpoint or MAE (Mean Absolute Error) as parameter assessment.

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