摘要
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。
Before installation in the aircraft, the steering gear must be to carrying capacity and its dynamic performance must be to testing, load simulation is an effective method. For surplus torque and dynamic performance of the load simulation system, this paper proposes a reduces the surplus torque and increase the dynamic performance of the PID control algorithm effectively. The algorithm mainly by CMAC neural network control algorithm combined with PID control algorithm, through online learning functions of neural network and PID simple fast control function, reduce the effective control of surplus torque is realized. And its stability analysis in theory to prove. Simulation and experimental results show that the proposed control algorithm can effectively eliminate the surplus torque of system simulation.
出处
《电子设计工程》
2017年第13期178-181,共4页
Electronic Design Engineering
基金
陕西省自然科学基金项目(2014JM2-5069)
陕西省教育厅科研计划项目资助(15JK1378)
关键词
电液伺服加载系统
鲁棒自适应
PID控制
多余力
electro-hydraulic servo load system
robust adaptive
PID controller
surplus force
