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为解决电传动履带式推土机制动能量回收效率不高的问题,以电传动履带式推土机再生制动控制策略为研究目标,分析电传动系统关键部件的数学模型,在S imulink环境下建立电传动系统仿真平台,基于逻辑门限控制与模糊控制理论设计再生制动控制策略,利用粒子群算法对模糊控制器的隶属度函数进行优化。仿真结果表明,模糊控制策略的各项性能均优于逻辑门限控制策略(能量回收率提高6.74%,节油率提高11.76%),且经过粒子群算法优化后的模糊控制策略在能量回收方面有显著提升(比优化前提高7.06%),相关控制策略可为改善电传动履带式推土机燃油经济性提供参考。
In order to solve the problem of low braking energy recovery efficiency of electric drive track-type tractor, this paper takes the regenerative braking control strategy of electric transmission track-type tractor as the research objective, analyzes the mathematical model of the key components of electric transmission system, establishes the electric transmission in Sullenink environment System simulation platform is designed based on logic threshold control and fuzzy control theory to design regenerative braking control strategy. Particle swarm optimization algorithm is used to optimize the membership function of fuzzy controller. The simulation results show that the performance of the fuzzy control strategy is better than the logic threshold control strategy (energy recovery rate increased by 6.74% and fuel economy rate increased by 11.76%), and the fuzzy control strategy optimized by Particle Swarm Optimization (Up by 7.06% compared with that before optimization), and the related control strategy can provide reference for improving the fuel economy of electric transmission track-type tractor.