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舵机在安装在飞行器之前,必须在地面对承载能力及其动态性能进行测试,负载模拟是较为有效的方法。针对负载模拟系统的多余力和动态性能要求,提出了一种减小多余力和增加动态性能的有效的PID控制算法。该算法主要以CMAC神经网络控制算法与PID控制算法结合,通过神经网络的在线学习功能和PID的简单快速控制功能,实现了减小多余力的有效控制。并对其稳定性分析进行了理论证明。仿真和试验结果表明该控制算法能够有效的消除系统模拟的多余力。
The steering gear must be tested on the ground for load capacity and dynamic performance before it is installed in the aircraft. Load simulation is a more effective method. Aiming at the requirements of excess force and dynamic performance of load simulation system, an effective PID control algorithm is proposed to reduce the excess force and increase the dynamic performance. The algorithm combines CMAC neural network control algorithm and PID control algorithm, and realizes the effective control of reducing excess power through the online learning function of neural network and the simple and quick control function of PID. And its stability analysis is theoretically proved. Simulation and experimental results show that the control algorithm can effectively eliminate the extra force of system simulation.