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.