Design and implementation of feeder feeding motor controller based on model predictive control
An improved model predictive control cost function was proposed to meet the needs of feeding motor control,and the q-axis current change value of permanent magnet synchronous motor was included in the optimal evaluation index.The improved algorithm can increase the controller parameters and increase the function of adjusting the response speed according to different feeding requirements in practical application scenarios.The algorithm is simulated by Matlab/Simulink platform to verify the feasibility and effectiveness of the algorithm.Finally,a control test was carried out in the real feeder,and it was confirmed that the feeding speed was increased and the fracture probability of the material belt was effectively reduced.
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