Unmanned powered parachute aircraft is a complicated nonlinear dynamics object. It is difficult to describe by precise mathematical model. For the integrated system with nonlinear time-varying and strong coupling characters, since it cannot acquire the satisfied control result using the traditional PID control method, a self-turning PID control strategy based on RBF network is put forward in this paper. This method uses the ability of self-study and self-adaptability of RBF network to turn parameters of system, accordingly, realizes the setting of PID controller parameters. Simulation result in Matlab indicates that it can get satisfied control result, shorter adjusting time, better stability, better self-adaptability and robustness using this method .%动力伞是一个复杂的非线性动力学对象,难以用精确的数学模型描述.对于这种具有非线性、时变和强耦合特性的综合系统,采用传统PID控制方法不能得到满意的控制效果,因此提出一种基于RBF神经网络的PID控制方法.该方法利用RBF神经网络的自学习、自适应能力自调整系统的控制参数,从而实现对PID控制器各参数的优化整定.在Matlab软件中的仿真结果表明,该方法可实现对动力伞有效的控制,并且与传统PID相比,具有更短的调节时间,更好的稳定性、自适应性和鲁棒性.
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