Cross-coupling control method for motor of mine cable winding car

Abstract

In order to improve working accuracy of motor unit of mine cable winding car, aiming at problems of load disturbance and speed adjustment in the operation control of cable motor and reel motor, a cross-coupling control method for motor of mine cable winding car was proposed. Fruit fly optimization algorithm (FOA) is used to optimize PI parameters of motor cross-coupling control model, and ITAE function is used as evaluation index to measure parameter optimization performance. The simulation analysis results show that compared with genetic algorithm (GA), using FOA for PI parameter optimization has higher convergence speed and lower error; the cross-coupling control model using FOA for PI parameter optimization can complete motor speed adjustment within 20 ms, which has high adjustment speed, high convergence accuracy and good stability; the motor can quickly follow response after interference is applied, which verifies that the cross-coupling control method for motor of mine cable winding car has good anti-interference and follow ability.

Keywords

• cable winding car
• permanent magnet synchronous motor
• cross-coupling control
• fruit fly optimization algorithm
• pi parameter optimizatio