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为了能够提高煤矿通风机的控制精确,确保煤矿井下的安全生产,深入地研究了智能PID控制技术在其中的应用。分析了蚁群算法和模糊神经网络的基本原理;讨论了蚁群优化算法的基本流程;设计了煤矿通风机通风量的智能PID控制系统;进行了仿真分析,仿真结果表明该方法具有较好的控制效果。
In order to improve the control precision of coal mine ventilator and ensure the safe production in coal mine, the application of intelligent PID control technology is deeply studied. The basic principle of the ant colony algorithm and the fuzzy neural network are analyzed. The basic flow of the ant colony optimization algorithm is discussed. The intelligent PID control system for the ventilation rate of coal mine ventilator is designed. The simulation analysis is carried out. The simulation results show that the method has a good Control effect.