Sensorless vector control of induction motors based on online GA tuning PI controllers

This paper presents an online genetic tuning digital PI controller for the sensorless speed vector control of induction motor drive system. Use of the allied genetic algorithm to optimize the online PIs control parameters, produced desirable control effects. The simulation results show that the system has a strong robust to the parameter variation and is insensitive to the load disturbance.

[1]  Lin Feng,et al.  Application of GAs in sensorless speed adjustment control for induction motor drive system , 2000, Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435).

[2]  Bimal K. Bose,et al.  Modern Power Electronics and AC Drives , 2001 .

[3]  Lin Feng,et al.  Improved genetic operator for genetic algorithm , 2002 .

[4]  Ahmad B. Rad,et al.  Optimization of fused fuzzy systems via genetic algorithms , 2002, IEEE Trans. Ind. Electron..

[5]  Yang Qi Application of Allied Genetic Algorithm to the CSTR System , 2001 .

[6]  Lalit M. Patnaik,et al.  Adaptive probabilities of crossover and mutation in genetic algorithms , 1994, IEEE Trans. Syst. Man Cybern..