模糊分数阶PID控制的风机风量调节方法研究

Air Volume Regulating Method for Local Ventilator Based on Fuzzy Fractional Order PID Control

在煤矿风机风量优化控制的过程中,由于煤矿掘进开采过程中通风系统抗干扰性和稳定性差,无法满足快速无超调响应的要求。根据风机风量调节系统的数学模型,设计了一种模糊分数阶PID控制器。分数阶PID控制器将常规PID控制器扩展到了分数阶领域,利用改进oustaloup算法,对分数阶微分算子sv进行拟合,同时与模糊推理相结合,实现控制参数的在线调试。在时域仿真中得到模糊分数阶PID的可调参数λ和μ,通过模糊分数阶PID控制器和常规PID控制器仿真对比实验,结果表明,改进控制器具有比常规PID控制器更好的动态性能,同时具有更好的快速性,抗干扰能力。

A ventilation system model of Mine local fan is built and a fuzzy fractional order PID control strategy is proposed to meet the requirements of immunity and fast response. The fractional order PID controller is used instead of the conventional PID controller and oustaloup recursive algorithm is used to fit the fractional differential operator sv. Combining fuzzy with fractional order PID, a fuzzy fractional order PID controller uses fuzzy logic to adjustment the control parameters online. The adjustable parameters λ and μ can be got by time -domain simulation. The re- sults show that, compared with the traditional PID controller, the presented control algorithm has better dynamic sta- bility, better immunity and fast response.