针对飞机舵机电动加载系统存在多余力矩干扰的问题,提出了以改进型基于信度分配的小脑模型关节控制器为前馈控制,以增量式比例积分微分(proportion integral derivative,PID)为反馈控制的复合控制策略。在前馈控制器中,结合变刚度金属-...针对飞机舵机电动加载系统存在多余力矩干扰的问题,提出了以改进型基于信度分配的小脑模型关节控制器为前馈控制,以增量式比例积分微分(proportion integral derivative,PID)为反馈控制的复合控制策略。在前馈控制器中,结合变刚度金属-橡胶缓冲弹簧、力矩测速反馈及梯度加载法,采用基于Sigmoid函数变平衡学习常数的权值调整算法,设计三维参考输入型神经网络结构。在反馈控制器中,采用增量式PID控制解决积分项溢出问题,同时为神经网络提供训练学习样本,最后通过理论分析证明改进算法的收敛特性及闭环系统的稳定性。仿真结果表明,该方法提高了系统的加载精度及在线实时控制能力,在一定程度上抑制了多余力矩干扰。展开更多
Passive torque servo system （PTSS） simulates aerodynamic load and exerts the load on actuation system, but PTSS endures position coupling disturbance from active motion of actuation system, and this inherent disturb...Passive torque servo system （PTSS） simulates aerodynamic load and exerts the load on actuation system, but PTSS endures position coupling disturbance from active motion of actuation system, and this inherent disturbance is called extra torque. The most important issue for PTSS controller design is how to eliminate the influence of extra torque. Using backstepping technique, adaptive fuzzy torque control （AFTC） algorithm is proposed for PTSS in this paper, which reflects the essential characteristics of PTSS and guarantees transient tracking performance as well as final tracking accuracy. Takagi-Sugeno （T-S） fuzzy logic system is utilized to compensate parametric uncertainties and unstructured uncertainties. The output velocity of actuator identified model is introduced into AFTC aiming to eliminate extra torque. The closed-loop stability is studied using small gain theorem and the control system is proved to be semiglobally uniformly ultimately bounded. The proposed AFTC algorithm is applied to an electric load simulator （ELS）, and the comparative experimental results indicate that AFTC controller is effective for PTSS.展开更多
文摘针对飞机舵机电动加载系统存在多余力矩干扰的问题,提出了以改进型基于信度分配的小脑模型关节控制器为前馈控制,以增量式比例积分微分(proportion integral derivative,PID)为反馈控制的复合控制策略。在前馈控制器中,结合变刚度金属-橡胶缓冲弹簧、力矩测速反馈及梯度加载法,采用基于Sigmoid函数变平衡学习常数的权值调整算法,设计三维参考输入型神经网络结构。在反馈控制器中,采用增量式PID控制解决积分项溢出问题,同时为神经网络提供训练学习样本,最后通过理论分析证明改进算法的收敛特性及闭环系统的稳定性。仿真结果表明,该方法提高了系统的加载精度及在线实时控制能力,在一定程度上抑制了多余力矩干扰。
基金National High-tech Research and Development Program of China (2009AA04Z412)"111" ProjectBUAA Fund of Graduate Education and Development
文摘Passive torque servo system （PTSS） simulates aerodynamic load and exerts the load on actuation system, but PTSS endures position coupling disturbance from active motion of actuation system, and this inherent disturbance is called extra torque. The most important issue for PTSS controller design is how to eliminate the influence of extra torque. Using backstepping technique, adaptive fuzzy torque control （AFTC） algorithm is proposed for PTSS in this paper, which reflects the essential characteristics of PTSS and guarantees transient tracking performance as well as final tracking accuracy. Takagi-Sugeno （T-S） fuzzy logic system is utilized to compensate parametric uncertainties and unstructured uncertainties. The output velocity of actuator identified model is introduced into AFTC aiming to eliminate extra torque. The closed-loop stability is studied using small gain theorem and the control system is proved to be semiglobally uniformly ultimately bounded. The proposed AFTC algorithm is applied to an electric load simulator （ELS）, and the comparative experimental results indicate that AFTC controller is effective for PTSS.
