摘要
本文分析建立直流速度伺服电机精确的数学模型 ,并设计了一种对初始杂交率和变异率不敏感的自适应遗传算法 ,该算法能够根据相异率来调节变异率的大小 ,保证了群体的多样性 ,结合直流速度伺服电机精确的数学模型 ,采用该自适应遗传算法优化出仿真系统的PID控制参数 ,再调整后应用到实际系统中 ,获得了良好的控制效果 ,解决了PID参数无经验确定的难题 ,提高了工作效率。
The model of speed sevro system of DC motor is built in the paper. And the self-adjusting genetic algorithm is designed. The algorithm is not susceptive to the initial mutation rate and cross over rate. The algorithm adjusts the mutation to ensure the multiformity of the population. The parameters of PID control of speed servo system are optimized at the emulator by the designed algorithm. Then, the parameters were modified and used in the actual system. The good effect of the control is gotten. The problem of confirming the parameters of the PID control is solved by the way, when we haven't any experience.
出处
《机床与液压》
北大核心
2003年第4期95-96,108,共3页
Machine Tool & Hydraulics
