Maximum Torque per Ampere Control of Permanent Magnet Synchronous Motor Using Genetic Algorithm

Permanent magnet synchronous motor (PMSM) drives have many advantages over other drives, i.e. high efficiency and high power density. Particularly, PMSMs are epoch-making and are intensively studied among researchers, scientists and engineers. This paper deals with a novel high performance controller based on genetic algorithm. The scheme allows the motor to be driven with maximum torque per ampere characteristic. In this paper assuming an appropriate fitness function, the optimum values for d-axis current of motor set points at each time are found and then applied to the controller. Simulation results show the successful operation of the proposed controller.

[1]  Ion Boldea,et al.  Permanent Magnet, Reluctance, and Self-Synchronous Motors , 1993 .

[2]  M. Nasir Uddin,et al.  High-Speed Control of IPMSM Drives Using Improved Fuzzy Logic Algorithms , 2007, IEEE Transactions on Industrial Electronics.

[3]  Munehiro Kamiya,et al.  Development of Traction Drive Motors for the Toyota Hybrid System , 2006 .

[4]  Hyun-Kyo Jung,et al.  Design of a short-time rating interior permanent magnet synchronous motor using a niching genetic algorithm , 2000 .

[5]  M. Azizur Rahman,et al.  Analysis of brushless permanent magnet synchronous motors , 1996, IEEE Trans. Ind. Electron..

[6]  Brian J. Chalmers,et al.  Variable-frequency synchronous motor drives for electric vehicles , 1995 .

[7]  M.A. Abido,et al.  An artificial neural network for online tuning of genetic algorithm-based PI controller for interior permanent magnet synchronous motor drive , 2006, Canadian Journal of Electrical and Computer Engineering.

[8]  Longya Xu,et al.  A new design concept of permanent magnet machine for flux weakening operation , 1995 .

[9]  J. De La Ree,et al.  Magnet shaping to reduce induced voltage harmonics in PM machines with surface mounted magnets , 1991 .

[10]  T.J.E. Miller,et al.  Design of a new axially-laminated interior permanent magnet motor , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[11]  Hyun-Kyo Jung,et al.  Efficiency optimization of interior permanent magnet synchronous motor using genetic algorithms , 1997 .

[12]  Carlo Cecati,et al.  Inverter-Fed Permanent Magnet Synchronous Motor , 1991 .

[13]  S. Morimoto,et al.  Expansion of operating limits for permanent magnet motor by current vector control considering inverter capacity , 1990 .

[14]  Nicola Bianchi,et al.  High performance PM synchronous motor drive for an electrical scooter , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[15]  Heinz Mühlenbein,et al.  Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization , 1993, Evolutionary Computation.

[16]  Gordon R. Slemon.  On the design of high-performance surface-mounted PM motors , 1994 .

[17]  Thomas M. Jahns,et al.  Interior Permanent-Magnet Synchronous Motors for Adjustable-Speed Drives , 1986, IEEE Transactions on Industry Applications.

[18]  Philippe Viarouge,et al.  Design and Construction of a Brushless Permanent Magnet Servomotor for Direct-Drive Application , 1987, IEEE Transactions on Industry Applications.

[19]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .