Grey Wolf Optimizer-Based Predictive Torque Control for Electric Buses Applications

This paper proposes an improved Predictive Torque Control (PTC) of a PMSM based on the Grey Wolf Optimizer (GWO) for smooth torque operation in Electric Bus applications (EBs). The embedded GWO is used to resolve the torque tracking tasks with minimal oscillations in running at the low speed of PMSM drives. The new PTC algorithm can successfully ensure the smooth time evolution of the torque and the speed. The design methodology is detailed and the provided experimental results show that the proposed PTC-GWO can be implemented in real-time on embedded hardware, offering high effectiveness in both steady and transient states of the PMSM drives, even at low-speed range.

[1]  Yongchang Zhang,et al.  Direct Torque Control of Permanent Magnet Synchronous Motor With Reduced Torque Ripple and Commutation Frequency , 2011, IEEE Transactions on Power Electronics.

[2]  Narayan C. Kar,et al.  Practical Testing Solutions to Optimal Stator Harmonic Current Design for PMSM Torque Ripple Minimization Using Speed Harmonics , 2018, IEEE Transactions on Power Electronics.

[3]  Mohammad Hossein Vafaie,et al.  Minimizing Torque and Flux Ripples and Improving Dynamic Response of PMSM Using a Voltage Vector With Optimal Parameters , 2016, IEEE Transactions on Industrial Electronics.

[4]  Changliang Xia,et al.  Smooth Speed Control for Low-Speed High-Torque Permanent-Magnet Synchronous Motor Using Proportional–Integral–Resonant Controller , 2015, IEEE Transactions on Industrial Electronics.

[5]  K. Jezernik,et al.  PMSM sliding mode FPGA-based control for torque ripple reduction , 2013, IEEE Transactions on Power Electronics.

[6]  Mohamed Fouad Benkhoris,et al.  Flatness-Based Grey Wolf Control for Load Voltage Unbalance Mitigation in Three-Phase Four-Leg Voltage Source Inverters , 2020, IEEE Transactions on Industry Applications.

[7]  Mohamed Fouad Benkhoris,et al.  An Effective Compensation Technique for Speed Smoothness at Low-Speed Operation of PMSM Drives , 2018, IEEE Transactions on Industry Applications.

[8]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[9]  Changliang Xia,et al.  A Novel Direct Torque and Flux Control Method of Matrix Converter-Fed PMSM Drives , 2014, IEEE Transactions on Power Electronics.

[10]  Sang-Yong Jung,et al.  A Novel Memetic Algorithm Using Modified Particle Swarm Optimization and Mesh Adaptive Direct Search for PMSM Design , 2016, IEEE Transactions on Magnetics.

[11]  Teresa Pamuła,et al.  Estimation of the Energy Consumption of Battery Electric Buses for Public Transport Networks Using Real-World Data and Deep Learning , 2020, Energies.

[12]  Dirk Uwe Sauer,et al.  Battery Design for Successful Electrification in Public Transport , 2015 .

[13]  MirjaliliSeyedali,et al.  Multi-objective grey wolf optimizer , 2016 .

[14]  Narayan C. Kar,et al.  Investigations of the Influence of PMSM Parameter Variations in Optimal Stator Current Design for Torque Ripple Minimization , 2017, IEEE Transactions on Energy Conversion.

[15]  Xi Xiao,et al.  Reduction of Torque Ripple Due to Demagnetization in PMSM Using Current Compensation , 2010, IEEE Transactions on Applied Superconductivity.

[16]  Mohamed Machmoum,et al.  Grey Wolf based control for speed ripple reduction at low speed operation of PMSM drives. , 2018, ISA transactions.

[17]  Eric Rogers,et al.  A Cascade MPC Control Structure for a PMSM With Speed Ripple Minimization , 2013, IEEE Transactions on Industrial Electronics.

[18]  Kyo-Beum Lee,et al.  Torque-Ripple Minimization and Fast Dynamic Scheme for Torque Predictive Control of Permanent-Magnet Synchronous Motors , 2015, IEEE Transactions on Power Electronics.

[19]  Hao Zhu,et al.  Torque Ripple Reduction of the Torque Predictive Control Scheme for Permanent-Magnet Synchronous Motors , 2012, IEEE Transactions on Industrial Electronics.

[20]  Subhadeep Bhattacharjee,et al.  Grey wolf optimisation for optimal sizing of battery energy storage device to minimise operation cost of microgrid , 2016 .

[21]  N. Zareen,et al.  Grey wolf optimizer based placement and sizing of multiple distributed generation in the distribution system , 2016 .

[22]  Elias G. Strangas,et al.  Comparative Evaluation of Direct Torque Control Strategies for Permanent Magnet Synchronous Machines , 2016 .

[23]  Abdelaziz Kheloui,et al.  Virtual-Sensor-Based Maximum-Likelihood Voting Approach for Fault-Tolerant Control of Electric Vehicle Powertrains , 2013, IEEE Transactions on Vehicular Technology.

[24]  Tomasz Pajchrowski,et al.  Neural Speed Controller Trained Online by Means of Modified RPROP Algorithm , 2015, IEEE Transactions on Industrial Informatics.

[25]  S.K. Panda,et al.  Speed ripple minimization in PM synchronous motor using iterative learning control , 2005, IEEE Transactions on Energy Conversion.

[26]  Leandro dos Santos Coelho,et al.  Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization , 2016, Expert Syst. Appl..

[27]  Ralph Kennel,et al.  FPGA Implementation of Model Predictive Control With Constant Switching Frequency for PMSM Drives , 2014, IEEE Transactions on Industrial Informatics.