Position Controller for PMSM Based on Finite Control Set Model Predictive Control

Abstract

The paper presents the position control of a permanent magnet synchronous motor by using the finite control set model predictive control. The position, speed and acceleration references are generated by a ramp generator. A new cost function, including feed-forward and load torque compensations, is introduced. In order to save the computational power, a combination of a predictive speed control with proportional position controller is explored as well. Presented methods are compared to the conventional field oriented control structure by a simulation.

Optimization of Model Predictive Control Weights for Control of Permanent Magnet Synchronous Motor by Using the Multi Objective Bees Algorithm

“…In MPC design, first of all, it is necessary to prepare the mathematical model of the system. One of the most popular methods of controlling of PMSM with MPC is to use machine equations in the rotor reference frame [6]. MPC is designed within the scope of speed control of PMSM.…”

“…Permanent Magnet Synchronous Motors (PMSM) have been used for many years due to their features such as high torque, high efficiency and fast dynamic structure. Within the scope of controlling PMSM; robust control [1], field-oriented control and direct torque control [2], fuzzy-based controllers [3,4], sliding mode controller [5], model predictive controller (MPC) [6], and so on different control methods have been used. Especially in high speed PMSMs, driver dynamics must be controlled successfully for effective control [7].…”

Direct-torque control system design using maximum torque per ampere method for interior permanent magnet synchronous motors

“…This is due to their high-power capability that comes with lower mass and moment of inertia. As a permanent magnet is used to generate rotor flux, there are no losses in a rotor and this makes this type the most efficient among all AC machines [1].…”

Constrained field-oriented control of permanent magnet synchronous machine with field-weakening utilizing a reference governor

“…FCS-MPC takes into account the discrete nature of the power converter. By checking all the possible combinations of switches, taking into account the cost function and constraints, the optimal switching of the power converter can be found [12]. However, this is limited to short prediction horizons due to the combinatorial nature of the problem.…”