Model Predictive Control of a Direct Current Motor Utilizing Lookup Tables

The problem of unpredictable acoustic behaviour of the finite control set model predictive control (MPC) can be solved in continuous control set MPC. However, continuous control set MPC usually requires huge computation efforts or analytical solution of the non-linear equations of the motor, which is not always possible. This paper considers the option of precalculation of all control commands for each combination of the input variables. This approach is applicable for the drives with limited number of state variables, such as direct current motor or switched reluctance machine. An example of the control system of direct current motor with torque stabilization and minimization of the ohmic losses was implemented using simulation model. The 4-dimensional lookup table was used for armature current control and 2-dimensional lookup table was used for field winding control. The simulation results show rapid torque stabilization together with losses minimization.