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Weighting Factors Optimization of Model Predictive Control Based on Fuzzy Thrust Constraints for Linear Induction Machine

T. T. Lei, Wei Xu, Xiaoguang Wang, Dinghao Dong, Xinyu Xiao, Yunhong Zhang

2021IEEE Transactions on Applied Superconductivity19 citationsDOI

Abstract

The model predictive thrust control (MPTC) is emerging as a promising control technique for the linear induction machine (LIM) drive applications. However, the weighting factor is designed based on empirical procedures that are tedious and time consuming. In this work, a novel fuzzy weighting factor optimization method for LIM is developed to identify the suitable control action. Different from conventional fuzzy methods, the tuning process of weighting factors is regarded as a fuzzy chance constraint so as to constitute a new optimal problem without weighting factors. Hence, the optimal model can be solved by probability optimization algorithm and the corresponding equivalence class is also conducted. At last, simulation results are presented to validate the feasibility and effectiveness of this method.

Topics & Concepts

WeightingFuzzy logicComputer scienceMathematical optimizationModel predictive controlThrustControl theory (sociology)Fuzzy control systemMathematicsControl (management)Artificial intelligenceEngineeringRadiologyMedicineAerospace engineeringMultilevel Inverters and ConvertersSensorless Control of Electric MotorsAdvanced Control Systems Optimization
Weighting Factors Optimization of Model Predictive Control Based on Fuzzy Thrust Constraints for Linear Induction Machine | Litcius