摘要
为了提高矿用机车在复杂煤矿井下的工作性能和效率,提出了直接瞬时转矩控制(DITC)与径向基神经网络RBF-PID结合的控制算法。建立SRM控制系统的Simulink仿真模型,仿真结果表明:该方法不仅能够实现传统PID控制参数整定、响应速度快、控制精度高等优点,且具有较强的自适应性、鲁棒性和抗干扰能力。
In order to improve the performance and efficiency of mine locomotive in complex coal mine, proposes a control algorithm based on direct instantaneous torque control （DITC） and radial basis function neural network （RBF-PID）. The establishment of Simulink simulation model of SRM control system, the simulation results show that this method can not only realize the traditional PID control parameter tuning, fast response speed and high control precision, strong adaptability, robustness and anti-interference ability.
出处
《煤炭技术》
北大核心
2017年第9期210-212,共3页
Coal Technology
