大惯量负载下交流励磁电机柔性制动策略及参数优化OA

AC excitation motors offer advantages such as constant frequency under variable speed and decoupled power in steady-state operation,making them suitable for applications like pumped storage and flywheel energy storage.However,these applications demand rapid emergency braking under high-inertia loads,which traditional mechanical braking strategies fail to meet.This study proposes a flexible braking strategy and parameter optimization method for high-inertia AC excitation motors.First,based on rotor structural characteristics,the strategy connects the rotor to a DC excitation source and the stator to multi-stage resistors,and derives the equivalent braking circuit.Second,a braking parameter optimization model is established,with multi-stage braking resistance,rotor excitation current,and resistor switching speed as variables;motor ratings and resistor power limits serve as constraints;and the shortest braking time is set as the objective.The model is solved using a genetic algorithm.Finally,multi-stage resistance braking results and influencing factors are analyzed via Matlab/Simulink simulations,and a 7 kW AC excitation motor platform is used to verify the simulations.Results show that the proposed multi-stage flexible braking strategy effectively reduces braking time,and optimized parameters achieve minimal braking duration while satisfying system power constraints,balancing braking efficiency and device economy.