Indirect adaptive feedforward control in compensating cogging torque and current measurement inaccuracies for Permanent Magnet motors

Theoretically, if the inverse transfer function of the plant is known, feedforward control can achieve zero error between the reference and the output. The main aim of this paper is to design a simple feedforward model and to compensate for the errors brought about by a change in the cogging torque and current measurement inaccuracies. The reference position, speed and acceleration have been designed so that they can be used as inputs to the feedforward model. The feedforward model is a stable form of the inverse transfer function of the motor dynamics of a PM motor. MRAS technique has been used to compensate for changes to the cogging torque and current measurement inaccuracies. A successful indirect adaptive feedforward control has been designed for three different shapes of the back EMF (sinusoidal, trapezoidal and a mix of the first two shape using real motor back EMF) and the control scheme is validated through hardware experimentation.

[1]  Ya-Jun Pan,et al.  Improved PMSM pulsating torque minimization with iterative learning and sliding mode observer , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[2]  I. Husain,et al.  Torque ripple minimization with on-line parameter estimation using neural networks in permanent magnet synchronous motors , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[3]  Thomas M. Jahns,et al.  Pulsating torque minimization techniques for permanent magnet AC motor drives-a review , 1996, IEEE Trans. Ind. Electron..

[4]  Job van Amerongen A MRAS-based Learning Feed-forward Controller , 2006 .

[5]  土手 康彦,et al.  Brushless servomotors : fundamentals and applications , 1990 .

[6]  S.K. Panda,et al.  Torque ripple minimization in PM synchronous motors using iterative learning control , 2004, IEEE Transactions on Power Electronics.

[7]  M.N. Uddin,et al.  An adaptive filter based torque ripple minimization of a fuzzy logic controller for speed control of a PM synchronous motor , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..