Design and some experimental results of the position control system of Bipolar Permanent Magnet Stepper Motors based on Adaptive Nonlinear Backstepping technique combining with Adaptive Fuzzy Logic

Cao Xuan Tuyen, Nguyen Thi Huong

Adaptive nonlinear Backstepping technique, Bipolar Permanent Magnet Stepping Motor, DSP TMS320F2812, Fuzzy Logic technique, Field Oriented Control Position control system.

Nowadays, stepper motors are widely used in industry in general and in CNC machines in particular because of their low price due to the large number of products manufactured and the ability to control velocity and position via open regulator circuits. However, due to the nonlinearity of this type of motor along with changes in its parameters during operation, the use of open regulator circuit for this motor type causes errors in speed adjustment as well as position adjustment of the motor. To overcome the above disadvantages, the paper offers a closed control circuit based on the Field oriented control for this type of motor, and uses Backstepping technique based non-linear adaptive control method combining with Adaptive Fuzzy logic technique to improve the position control quality of Bipolar Permanent Magnet Stepping Motor. The proposed position control system is experimented on the DSP based experimental system, which uses DSP TMS 320F2812. The experimental results show that, the performance of the proposed position control system has high accuracy, that meets the commands of the high precision CNC machines in industry.