摘要
根据风洞试验中连续变攻角试验技术要求,针对电液伺服控制系统存在的非线性、时变性和不确定性等特性及风洞试验工况十分复杂的特点,提出采用在线辨识的广义预测控制控制策略;首先,为使仿真对实践具有更好的指导意义,利用Labview和AMESim各自优势建立了联合仿真模型;其次,分析并建立了电液伺服系统的CARIMA模型,论述了控制器设计步骤;在前面工作基础上,对系统特性及控制器参数、模型参数和外界干扰等对控制性能的影响进行了深入分析;最后,通过试验验证了控制策略具有良好的控制性能,角速度控制精度达到0.01°/s,能够满足风洞试验连续变攻角技术要求。
It is required that the support mechanisms can steadily and smoothly move so that the uniform changing of the Angle of Attack can be achieved in wind tunnel test. Generally, the electro--hydraulic system is a nonlinear, time variant and uncertain system; and the wind tunnel environ- ment is very complicated, so the model on--line identification and generalized predictive control strategies are considered. Firstly, In order to get a greater practical value from the simulation results, the Labview and AMESim are integrated to set up the electro--hydraulic system model~ Secondly, the CARIMA model of the electro--hydraulic system and the generalized predictive control widely analyzed and set up~ Thirdly, with the integrated simulation platform, the control parameters, model parameters, load and interference influence to the system performance are widely discussed and an- alyzed; At last, The details of the electro--hydraulic control system test platform is given. Based on the NI embedded real time technology, the control strategy is tested and verified. Good performances of the nonlinear velocity control to the hydro--cylinder , which drives the model support mechanism, are obtained, the angular velocity control precision can reach 0.01°/s.
出处
《计算机测量与控制》
北大核心
2014年第2期390-392,396,共4页
Computer Measurement &Control
关键词
广义预测控制
系统辨识
电液伺服系统
非线性
速度控制
generalized predictive control
system identification~ electro--hydraulic servo system
non--linear
velocity control
