李晓清, 郭彦波, 魏航, 马建巍, 杜婷. 基于智能控制的输电线路作业车调速策略研究[J]. 河北电力技术, 2022, 41(4): 70-74.
引用本文: 李晓清, 郭彦波, 魏航, 马建巍, 杜婷. 基于智能控制的输电线路作业车调速策略研究[J]. 河北电力技术, 2022, 41(4): 70-74.
LI Xiaoqing, GUO Yanbo, WEI Hang, MA Jianwei, DU Ting. Research on Speed Regulation Strategy of Transmission Line Operating Vehicle Based on Intelligent Control[J]. HEBEI ELECTRIC POWER, 2022, 41(4): 70-74.
Citation: LI Xiaoqing, GUO Yanbo, WEI Hang, MA Jianwei, DU Ting. Research on Speed Regulation Strategy of Transmission Line Operating Vehicle Based on Intelligent Control[J]. HEBEI ELECTRIC POWER, 2022, 41(4): 70-74.

基于智能控制的输电线路作业车调速策略研究

Research on Speed Regulation Strategy of Transmission Line Operating Vehicle Based on Intelligent Control

  • 摘要: 为满足输电线路作业车在复杂作业环境下对动、静态性能的控制要求,针对输电线路作业车的直流调速问题,建立了直流电机的数学模型,并在传统PID控制算法的基础之上,研究了基于萤火虫算法优化的BP神经网络PID控制策略,实现了对输电线路作业车电机的高精度控制。在理论分析基础之上,对所提策略进行仿真验证,仿真结果证明该策略的有效性和可行性。

     

    Abstract: In order to meet the control requirements for the dynamic and static performance of the power transmission line operating vehicle in the complex operating environment,aiming at the problem of DC speed regulation of transmission line operating vehicles,this paper first established the mathematical model of DC motor,and based on the traditional PID control algorithm,studied the BP neural network PID control strategy based on the optimization of the firefly algorithm, and realized the power transmission high-precision control of the line operation vehicle motor.On the basis of theoretical analysis,the proposed strategy was simulated and verified,and the simulation results proved the effectiveness and feasibility of the strategy.

     

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