具有积分限制的单神经元PID控制算法

曲涛; 郝彬彬

具有积分限制的单神经元PID控制算法

曲涛,
郝彬彬

中国航空工业集团公司沈阳发动机设计研究所, 沈阳 110015

基金项目: 国家自然科学基金(61233302)

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- 被引次数: 0
出版历程
- 收稿日期: 2012-08-20
- 刊出日期: 2013-06-28

Single-neuron PID control arithmetic with integral restriction function

QU Tao,
HAO Bin-bin

Shenyang Engine Design and Research Institute, Aviation Industry Corporation of China, Shenyang 110015, China

摘要

摘要: 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.
- 抗积分饱和 /
- 性能寻优 /
- 单神经元 /
- 比例-积分-微分(PID) /
- 自适应
Abstract: 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.
- anti-integral windup /
- performance seeking /
- single-neuron /
- proportion integration differentiation(PID) /
- self-adaptation

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参考文献(16)

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