摘要
在对电力电机的转角偏移测量研究过程中存在测量精度低,耗时长的问题。传统算法在电力电机的转角偏移测量时需要长时间观察读数,精度差。提出了一种改进遗传算法的电力电机的转角偏移测量方法。先将差动电容传感器与变压器电桥有机地结合,并将组建电力电机的转角偏移测量模型,并获取测量系统中各参数之间的关系,且融合于最优PID参数的设定方法,以实现电力电机的转角偏移测量系统对转角偏移误差的高精度控制,同时利用遗传算法对参数衰减因子进化,依据个体的适应度和进化时间的变化自适应的调节交叉与变异概率,有效的分析出了影响转角偏移测量精度的因素,提高了测量系统寻优的速度,保障了电力电机的转角偏移测量的精度。仿真证明使用改进遗传算法的电力电机的转角偏移测量提高了精确度,鲁棒性增强。
In the process of turn angle deviation measurement and research on electric motor, the measurement accuracy is low, and the time consuming is too long. In the paper, a turn angle deviation measurement method of e- lectric motor was proposed based on improved genetic algorithm. Firstly, differential capacitance sensors and the transformer bridge were combined organically, and the turn angle deviation measurement model of electric motor was constructed. The relationship between the parameters in the measurement system and the setting method fused into the optimal PID parameters were obtained, to realize the high accuracy control of turn angle deviation error by the turn angle deviation measurement system of electric motor. At the same time, by using the genetic algorithm, the at- tenuation factor of parameters can be evolved. On the basis of individual fitness and the regulation crossover and mu- tation probability of the adaptive to changes of evolutionary time, the factors affecting turn angle deviation measure- ment precision was effectively analyzed, to improve the optimizing speed of the measurement system and ensure the precision of the turn angle deviation measurement of electric motor. Simulation results prove that the improved genetic algorithm can improve the accuracy, and the robust can be enhanced.
出处
《计算机仿真》
CSCD
北大核心
2015年第6期394-397,411,共5页
Computer Simulation
基金
河南省科技厅项目<支持人工切换功能的视频光纤通信设备的研究>(132102210213)
河南省科技厅项目无线数据采集传输系统的设计与研究(132102210465)
关键词
改进遗传算法
电机
转角偏移测量
Improved genetic algorithm
Motor
Turn angle deviation measurement
