Artificial bee colony based auto-tuning of PMSM state feedback speed controller
Tomasz Tarczewski, Lech M. Grzesiak · 2016
In this paper, auto-tuning procedure of state feedback speed controller for permanent magnet synchronous motor is presented. The novelty of the proposed approach lies in applying nature-inspired artificial bee colony optimization algorithm to obtain weighting matrices that are used for calculation of controller coefficients. In order to maintain selected state and control variables of PMSM in an acceptable level, the optimization algorithm is extended to solve constrained optimization problems. Both the main control objective (i.e. satisfactory dynamic of speed response) and secondary control goals (i.e. zero d-axis current and chattering-free q-axis control signal) are taken into account during auto-tuning process. Proper operation of proposed optimization procedure and employed performance index is proven by experimental tests of the drive.