Flux linkage optimization for direct torque control of switched reluctance motor based on model predictive control

Abstract

In this paper, to solve the problem of large torque ripple in a switched reluctance motor (SRM), a new control strategy based on model predictive flux control is proposed in the direct torque control (DTC) algorithm. First, the flux linkage value in the next period is calculated from the discrete time model of the SRM. Second, to reduce the computation burden and increase the dynamic response, a torque hysteresis controller is embedded in the system to select three candidate voltage vectors for the cost function. Finally, based on flux linkage minimization, the best voltage vector is selected and applied to the system. The proposed direct torque and predictive flux control (DTPFC) method perfectly suits the nonlinear magnetic characteristics of SRM, and shows better steady‐state and dynamic‐state performances compared to DTC. Furthermore, since DTPFC has only one variable in the cost function, the huge task of obtaining the best weighting factor is eliminated. Simulation and experiments are carried out on a three‐phase 12/8 SRM with the proposed control algorithm and DTC. The results demonstrate the validity of the new control approach. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

“…This paper uses T ripple and T peak as evaluation indicators to compare the two methods of TSF-DITC and TSF-PDITC, and define T ripple and T peak as the following formulas ( 9) and (10):…”

“…Model Predictive Control (MPC) is a novel multi-objective optimal control scheme for nonlinear systems, which uses a predictive model to calculate the value of the motor at the next sampling time [7][8][9]. Reference [10] uses the cost function of MPC to accurately track the reference flux linkage and combines the six basic voltage vectors in the classical DTC to reduce the torque ripple. A model predictive current control is addressed in [11], which enhances the phase current tracking capability.…”

Torque ripple and noise control of switched reluctance motor using an adaptive fuzzy PI control with the aid of AR algorithm

“…Compared to traditional PI, PID controller artificial intelligent fuzzy logic controller in DTC offered improved dynamic performance of SRM presented a control approach depends on model predictive flux control is applied in the direct torque control (DTC) procedure for three-phase 12/8 SRM GA tuned PI in the DTC reduced the torque ripple effectively in comparison with DTC using PI and various other control methods. The survey states that advanced controllers in the application of DTC reduce torque ripple compared to a conventional controller [15][16][17][18]. Hence in this paper novel optimization artificial raindrop algorithm (ARA) is proposed in DTC to reduce maximum torque ripple to attain minimum noise.…”

Minimization for current peak-to-peak value in switched reluctance motor

“…As an effective method to solve SRM smooth torque control, direct instantaneous torque control (DITC) formulates different hysteresis control rules for singlephase operation region and overlap region of two-phase simultaneous operation according to real-time rotor position, and directly selects switch vector output to power converter through hysteresis control rules. The hysteresis control rule directly selects the switch vector output to the power converter [7][8]. However, DITC requires complex operation rules to generate smooth torque in the overlap region, the current peak is too high in the initial stage of current rise so does the torque.…”