具有积分限制的单神经元PID控制算法

提出了一种抗积分饱和的变参数PID单神经元二次性能寻优算法.在PID结构简单的基础上,兼有神经元自适应修正能力和二次性能寻优的特点,当积分出现饱和时,通过控制逻辑自动抑制偏差的积分,从而提高了变参数PID算法的鲁棒适应性.以某双轴发动机喷口为被控对象,对模型参数以50％的变化进行了控制性能的仿真.结果表明:变参数PID单神经元二次性能寻优算法具有较强的鲁棒稳定性和鲁棒性能,动态过程的最大超调量被抑制在5％以内,动态调节时间仅为0.6s.所提出的性能寻优PID算法可以满足航空发动机的控制需求.

Single-neuron PID control arithmetic with integral restriction function

A variable parameter quadratic performance seeking PID(proportion integration differentiation) control algorithm capable of anti-integral windup was presented. In addition to structural simplicity of PID, the algorithm features self-adaptive adjustment ability of neuron and quadratic performance seeking characteristics; the integration of error could be reduced automatically by control logic in the occurrence of integral windup, thus improving robustness and adaptability of variable parameter PID algorithm. The nozzle of a two-spool turbofan engine was taken as a controlled object, control performance simulation was conducted with model parameters varying within 50% range. The results show that variable parameter quadratic performance seeking PID control algorithm features relatively high stability and robustness, the maximum overshoot of dynamic process is reduced within 5%, the settling time is only 0.6s. Simulation results show that the presented performance seeking PID control arithmetic can satisfy the requirement of aero-engine control.