基于单神经元Hebb学习算法,提出依据飞行动压在线修正参数的自适应控制方法。仿真结果表明,该算法对阶跃信号、方波信号具有良好的姿态跟踪性能,对舵机延时25ms情况具有良好的控制性能,对存在15%气动参数偏差情况具有较强的鲁棒性,六自由度仿真进一步验证了该算法的工程可用性。 Based on the single neuron Hebb learning algorithm, an adaptive control method based on flight pressure online correction parameters is proposed. The simulation results show that the proposed algorithm has good attitude tracking performance for step and square wave signals, good control performance for servo delay of 25 ms, strong robustness to 15% deviation of aerodynamic parameters, Six-degree-of-freedom simulation further validates the engineering usability of the algorithm.