摘要
永磁同步电机算法中的PID参数固定不变,自适应能力较差;近似动态规划具有自学习能力,能动态调整参数,增强系统的自适应能力;文章将近似动态规划中的代表性算法——执行依赖启发式动态规划与类PI网络相结合,根据环境反馈对各个策略进行评价,选取评价最优的策略在线调整动作网络参数,对永磁同步电机进行自适应最优控制;仿真结果表明,执行依赖启发式动态规划加PI控制算法在系统速度变化和负载变化过程中,动态效果和稳态精度优于传统PID控制。
The PID parameters are fixed in permanent magnet synchronous motors control algorithm and the adaptive ability is poor.Approximate dynamic programming with self-learning ability,can dynamically adjust the parameters and enhance the adaptive capacity of the system.In this paper,the representative algorithm of approximate dynamic programming-action-dependent heuristic dynamic programming combined with PI-Like network,optimal control permanent magnet synchronous motors adaptively.The simulation results show that the algorithm of action-dependent heuristic dynamic programming combining with PI-Like network in the process of any speed and load changes,the dynamic effect and steady state accuracy of better than traditional PID control.
出处
《计算机测量与控制》
2015年第2期463-466,共4页
Computer Measurement &Control
基金
湖南省自科基金(12JJ3072)
科技部国家国际科技合作专项项目(2013DFG52740)
