电控旋翼的误差通道在线辨识桨距控制  

Blade Pitch Control for Electrically Controlled Rotor Based on Online Identification of Error Path

作　　者：董维生[1] 陆洋[1] 

机构地区：[1]南京航空航天大学直升机旋翼动力学国家级重点实验室,南京210016

出　　处：《电光与控制》2013年第2期80-84,共5页Electronics Optics & Control

基　　金：国家自然科学基金(50805074);航空基金(08A52001)

摘　　要：为了提高电控旋翼桨距的控制效果,提出了两种基于误差通道在线辨识的自适应滤波控制方法:缩放因子法和约束权函数法。利用桨距开环状态试验数据和最小二乘法辨识得到的控制对象数学模型,完成了两种改进方法的电控旋翼桨距控制仿真。仿真结果表明:缩放因子法在不降低自身自适应性的同时,可以有效地提高电控旋翼的总距及周期变距桨距控制精度和响应速度;约束权函数法则在有效抑制外部噪声干扰的同时提高了控制算法的稳定性。In order to improve the control efficiency of blade pitch control of Electrically Controlled Rotor （ECR）, two methods based on adaptive control method with online identification of error path, scaling factor method and constrained weight method, were proposed. According to the data collected from the open loop pitch control test and the least-squares method, mathematical model of control object was established. Then the ECR pitch control simulation work was conducted for the two proposed methods. Simulation results indicated that ： 1 ） the scaling factor method can effectively increase the speed of response and improve the control accuracy of both ECR collective pitch and cyclic pitch control, and keep itself adaptive; and 2） the constrained weight method can effectively restrain the interference caused by the external noise, and can improve the stability of the whole control system at the same time.

关 键 词：直升机 电控旋翼 桨距 在线辨识 约束权函数 自适应滤波 

分 类 号：V249[航空宇航科学与技术—飞行器设计]