直驱式输电线路作业车BP神经网络调速控制

BP neural network speed control of direct-drive motor vehicle for maintaining grid line

为满足输电线路作业车在复杂作业环境下对动、静态控制性能要求,本文针对直驱式输电线路作业车直流电机转速控制策略开展研究。首先推导了直流电机转速闭环控制的传递函数,并在分析转速闭环传递函数的基础上,提出一种以转速闭环传递函数为目标训练神经BP网络连接权重参数的PID控制策略,最后,利用MATLAB Simulink建立的包含开关模型的仿真系统验证了控制策略的有效性。

In order to meet the requirements for dynamic and static control performance of vehicle applied in the complex operation environment under which overhead power transmission lines are maintained,the PID with BP neural network control strategy was studied for DC motor derived vehicles in transmission line operation.Firstly,the closed-loop transfer function of DC motor speed was derived.Then,based on the closed-loop transfer function,a PID control with BP neural network is studied using the closed-loop transfer function as goal function for training BP neural network weights.Finally,simulation results obtained using MATLAB Simulink verified the proposed theriacal analysis.