摘要
针对多电机同步驱动系统,以四台电机为控制对象,基于智能控制技术,并结合多电机同步控制系统的非线性、时变、容易受负载扰动等特性,设计了神经网络PID控制器,提出了基于神经网络PID控制器与偏差耦合控制结构相结合的多电机同步控制策略;采用Matlab/Simulink构建系统仿真平台,对该控制策略进行仿真,结果表明:该控制算法稳定性能高,鲁棒性能好,收敛速度快,能有效的克服外部扰动和参数变化带来的同步误差,相对于传统的同步控制方案能够更好的实现多电机的同步控制。
According to the muhimotor synchronization driving system, with four motors to control the object, based on intelligent control technology, and combined with the multimotor synchronous control system of nonlinear, timevarying, load disturbance and other vulnerable features, neural network PID controllers are designed and a strategy of realtive coupling control for multimotor synchronization based on neural network PID contorl is proposed; Simulation platform build system using MATLAB/Simulink, Simulation results show that： the control algorithm has a good stability behavior and robust performance , a quick convergence rate and can effectively achieve the multi-motor synchronous control compared with the traditional control strategy
出处
《控制工程》
CSCD
北大核心
2013年第3期415-418,共4页
Control Engineering of China
基金
国家科技重大专项(2010ZX04004-122)
关键词
多电机同步
偏差耦合
神经网络
PID控制
multimotor synchronization
realtive coupling
neural network
PID control
