基于卡尔曼滤波的航空发动机单神经元自适应控制

针对航空发动机多任务、多变量、高精度和一体化控制的需求,提出了一种基于卡尔曼滤波的单神经元自适应控制方法。该方法在单神经元自适应控制算法的基础上,增加了对控制量和发动机反馈量的滤波,提高了响应速度,精度较高。仿真结果证明,该方法对过程噪声和测量噪声具有很强的克服能力,所需计算量较小,能满足发动机控制对实时性的要求。

Single Neuron Adaptive Control System of Aero-Engine Based on Kalman Filter

The single neuron adaptive control method based on Kalman filter is investigated to meet the demands of multi-mission,multi-variables and high precision of aero-engines.On the basis of single neuron adaptive control algorithm,the Kalman filter method enhances the filter on the control variables and feedback variables to over come the noises on the control performance.The simulation results indicated that the controller obtains satisfactory performance,which is effective inhibition of the filter to the process noise and measurement noise,is a useful tool for the sophisticated multi parameter system.