基于粒子群优化算法的模糊神经分数阶PID电子节气门控制器设计

摘要

For the precision of tracking performance of automotive electronic throttle, a nonlinear model for controller is designed and the effect on the electronic throttle position by the friction nonlinear and the LH nonlinear is analyzed. The throttle's nonlinear controller is designed by using fuzzy neural network fractional-order PID technique, and the controller parameters are optimized by particle swarm optimization. Finally, simulation results which taking the disturbance into consideration shows that the mentioned controlling method can realize the controlling of the electrical throttle splendidly.%针对汽车电子节气门的精确跟踪控制问题，建立了面向控制器设计的非线性模型，分析了摩擦非线性以及LH非线性对电子节气门位置的影响。采用模糊神经分数阶PID控制方法设计了电子节气门非线性控制器，并利用粒子群优化算法对控制器参数进行优化。最后将扰动考虑在内进行了仿真实验，仿真实验表明基于模糊神经分数阶PID的控制方法能够很好地实现电子节气门控制。