Particle Swarm Optimization Based Continuous Control Set Model Predictive Speed Control for PMSM
Authors:
- 20 November 2021
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 152-156
Abstract
A continuous control set model predictive speed control (CCS-MPSC) strategy based on the particle swarm optimization (PSO) algorithm is proposed, where the cost function of model predictive speed control (MPSC) is regarded as the objective function to evaluate the fitness of the particles. During this process, all particles are ordered to conduct optimization under the hexagonal sector composed of voltage space vectors. At the end, the particles coverage to the optimal value through keeping updating particle positions. As the feedback, the system obtains the optimal voltage vector without the derivation of error model and realizes CCS-MPSC. According to the simulation results, the effectiveness, and the robustness of speed control with mutative work conditions.Keywords
This publication has 15 references indexed in Scilit:
- FPGA-Based Predictive Speed Control for PMSM System Using Integral Sliding-Mode Disturbance ObserverIEEE Transactions on Industrial Electronics, 2020
- Model Predictive Direct Speed Control With Torque Oscillation Reduction for PMSM DrivesIEEE Transactions on Industrial Informatics, 2019
- Predictive Cascaded Speed and Current Control for PMSM Drives With Multi-Timescale OptimizationIEEE Transactions on Power Electronics, 2019
- Direct Voltage-Selection Based Model Predictive Direct Speed Control for PMSM Drives Without Weighting FactorIEEE Transactions on Power Electronics, 2018
- A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive ControlIEEE Transactions on Power Electronics, 2018
- Robust Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems With Revised PredictionsIEEE Transactions on Power Electronics, 2018
- Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning StrategiesIEEE Transactions on Power Electronics, 2016
- Novel self-adaptive particle swarm optimization methodsSoft Computing, 2015
- Two-Vector-Based Model Predictive Torque Control Without Weighting Factors for Induction Motor DrivesIEEE Transactions on Power Electronics, 2015
- Parameter Identification of PMSMs Using Experimental Measurements and a PSO AlgorithmIEEE Transactions on Instrumentation and Measurement, 2015