Off-line tuning of a PI speed controller for a permanent magnet brushless DC motor using DSP

In this paper, a new method of tuning Proportional Integral (PI) coefficients for a permanent magnet brushless DC (PMBLDC) motor drives is proposed. Artificial neural network is used to identify the whole system using maximum overshoot and settling time obtained from the application circuit for diff...

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Bibliographic Details
Published in:Energy conversion and management 2011, Vol.52 (1), p.264-273
Main Author: Demirtas, Metin
Format: Article
Language:English
Subjects:
algorithms
Applied sciences
Brushless DC motor
Brushless motors
D C motors
Digital signal processing
DSP
Electrical engineering. Electrical power engineering
Electrical machines
energy conversion
equipment performance
Exact sciences and technology
Genetic
methodology
Miscellaneous
Motion control
Motors
Neural network
neural networks
Optimization
Permanent magnets
Polyimide resins
Power electronics, power supplies
Regulation and control
Tuning
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Summary:In this paper, a new method of tuning Proportional Integral (PI) coefficients for a permanent magnet brushless DC (PMBLDC) motor drives is proposed. Artificial neural network is used to identify the whole system using maximum overshoot and settling time obtained from the application circuit for different K p– K i pairs. Optimal values of PI controller coefficients are obtained using genetic algorithm. Motion Control Kit (MCK243) is used to carry out digital motion control applications. The MCK243 kit includes a power module and a three-phase brushless motor. TMS320F243 programs are used for PMBLDC motor speed control. Experimental results are given to show the validity of this method.
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2010.06.067