摘要
针对电液位置伺服系统,利用神经元的自学习、自适应特点,将神经网络与PID控制方法相结合,对电液伺服系统在线边学习边控制,实现系统的快速实时控制。仿真研究表明,该电液伺服系统具有令人满意的静、动态性能。
We used Neural Network Control of Self-adjusted PID Parameters in Electro-hydraulic Position Servo System. For artificial neural network having a lot of self-learning, self-adjusting and such functions, this controller had better control effect for linear and non-linear time-fixedness systems than traditional PID controllers. The simulation results show that this system has good dynamic and static performance.
出处
《太原重型机械学院学报》
2004年第3期213-215,共3页
Journal of Taiyuan Heavy Machinery Institute
