Intelligent speed controllers for IPM motor drives

In this paper the comparative performances of the interior permanent magnet synchronous motor (IPMSM) drive system using proportional integral (PI) controller, proportional integral derivative (PID) controller, adaptive neural network (NN) controller, and wavelet based multiresolution proportional integral derivative (MRPID) controller are presented. In the proposed wavelet based MRPID controller, the discrete wavelet transform is used to decompose the error between actual and command speeds into different frequency components at various scales. The wavelet transformed coefficients of different scales are scaled by their respective gains, and then are added together to generate the control signal. The performances of the IPMSM drive system are investigated in simulation and experiments at different dynamic operating conditions. The vector control scheme of the conventional and proposed speed controllers based IPMSM drive system is successfully implemented in real-time using the digital signal processor board ds1102 on the laboratory 1-hp IPMSM. The simulation and laboratory test results confirm the superiority of the proposed wavelet based MRPID controller over the conventional speed controllers for wide spread applications in high performance industrial motor drive systems.