基于最小二乘偏差补偿法的舵机模型参数辨识

舵机作为无人旋翼机一个重要的执行机构,控制着旋翼机飞行姿态与轨迹的改变,为建立舵机的数学模型,提出了基于最小二乘偏差补偿法辨识伺服舵机的模型参数。在研究了伺服舵机的结构与工作原理的基础上,首先建立舵机各组件模型,综合得到舵机的系统模型;然后采用最小二乘偏差补偿法辨识模型参数。实验仿真验证了该方法具有较高辨识精度与有效性。     

一类不确定执行器非线性系统的自适应控制

针对一类带不确定执行器非线性的控制系统,提出了一种自适应神经网络控制方法。建立了包括死区、齿隙和“类齿隙”磁滞特征的非线性执行器模型。通过结合所建立的模型和Nussbaum增益技术,解决了当执行器非线性不确定时的控制问题。所设计的方案不需知道非线性特征参数边界,并且当非线性特征为死区时,其坡度可以为时变的。引入了自适应补偿项消除建模误差和干扰的影响。仿真结果验证了该方法的有效性。     

多级双极性等离子体激励器加速气流的实验研究

等离子体激励器是一种新型的流动控制手段,通过其产生的等离子体加速气流,从而实现对流动的控制．然而,单一等离子体激励器因其加速气流的效果受到自身流向长度的限制,其应用范围通常被局限在小尺度的物体上．目前采用的解决方法是将多个传统等离子体激励器并联成一组,形成多级激励器,然而前后电极的相互干扰大大降低了这种多级激励器的工作效率．本文提出了一种新型等离子体激励器的串联方案,也就是将多级激励器中前一级的下电极都与后一级的上电极相连,形成一种新型多级双极性等离子体激励器．粒子示踪测速系统（PIV）对该激励器加速气流的实验结果表明,这种新型多级激励器能够消除前后电极之间的相互干扰,大大提高多级等离子体激励器加速气流的效率．     

基于压电陶瓷的惯性驱动器控制技术研究

由于压电陶瓷迟滞效应和摩擦力非线性等因素影响,压电惯性驱动器开环控制存在着一定的误差,定位精度较低。为了提高压电惯性驱动器的定位精度,满足高精度控制的需要,提出了基于前馈补偿的模糊PID反馈混合控制器。设计了开环、前馈开环、模糊PID闭环反馈三种控制方式,对压电惯性驱动器定位精度的控制效果进行了相关的试验测试。试验表明,基于前馈补偿的模糊PID闭环反馈控制有效提高了压电惯性驱动器的定位精度,减小了稳态误差,在16μm的运动范围内,定位精度达到0.04μm。     

非线性系统执行器死区故障的鲁棒自适应控制

针对一类具有不对称执行器死区故障的不确定非线性系统,基于反推滑模控制原理提出了一种神经网络鲁棒自适应控制方案。通过简化死区故障模型,取消了模型倾斜度相等和边界对称条件,结合动态面控制避免了传统反推设计方法存在的计算复杂性问题。所提控制方案取消了控制方向已知的条件,消除了执行器死区故障的影响,使得系统输出趋于给定参考轨迹的一个小领域。仿真结果验证了该方法的有效性。     

固定翼双旋弹修正组件滚转控制研究

针对固定翼双旋弹修正组件滚转通道存在的输入扰动和模型不确定性问题,设计一种基于H_∞回路整形的两自由度滚转通道控制方法. 通过对修正组件电气系统和机械系统的建模,得到执行机构电磁控制力矩的计算方法,利用理论分析及实验测试,研究了修正组件气动力矩和滚转阻尼力矩的建模方法,从而得到滚转通道控制模型,并设计基于H_∞回路整形的两自由度滚转通道控制器实现滚转角度控制. 半实物仿真实验结果表明,通过对修正组件电气系统和机械系统分析建立滚转通道控制模型的方法可行,设计的滚转通道控制器能够实现精确的滚转角控制.      

A parameter estimation based adaptive actuator failure compensation control scheme

An adaptive actuator failure compensation control scheme is developed using an indirect adaptive control method,by calculating the controller parameters from adaptive estimates of system parameters and actuator failure parameters.A key technical issue is how to deal with the actuator failure uncertainties such as failure pattern,time and values.A complete parametrization covering all possible failures is used to solve this issue for adaptive parameter estimation.A simultaneous mapping from the estimated system/failure parameters to the controller parameters is employed to make the control system capable of ensuring the desired system performance under failures,which is verified by simulation results.     

等离子激励器对静止空气的诱导作用

对等离子体发生器对静止空气诱导加速作用进行了数值模拟,并与Notre Dame大学的相关实验结果进行了比较,二者符合良好.研究结果表明,等离子体发生器对静止空气有诱导加速作用,激励强度、等离子体发生器尺寸等对流体的诱导有较大影响.该研究成果可用于飞行器的减阻增速、流动分离控制及推力矢量控制等.     

Adaptive failure compensation for uncertain systems with multiple inputs

The aim of this paper is to develop controllers for uncertain systems in the presence of stuck type actuator failures. A new scheme is proposed to design output feedback controllers for a class of uncertain systems having redundant control inputs, with which the relative degrees of transfer functions are different. To deal with these inputs using backstepping technique, a pre-filter is introduced before each actuator such that its output is the input to the actuator. The orders of the pre-filters are chosen properly to ensure all their inputs can be designed at the same step in the systematic design. To compensate for the effects of possible failed actuators, more uncertain parameters than system parameters are required to be identified. With the proposed scheme, the global boundedness of the closed-loop system can still be ensured and the system output can be regulated to a specific value when some of the actuators' outputs are stuck at unknown fixed values.     

Multiobjective fault detection and isolation for flexible air-breathing hypersonic vehicle

An application of the multiobjective fault detection and isolation (FDI) approach to an air-breathing hypersonic vehicle (HSV) longitudinal dynamics subject to disturbances is presented. Maintaining sustainable and safe flight of HSV is a challenging task due to its strong coupling effects, variable operating conditions and possible failures of system components. A common type of system faults for aircraft including HSV is the loss of effectiveness of its actuators and sensors. To detect and isolate multiple actuator/sensor failures, a faulty linear parameter-varying (LPV) model of HSV is derived by converting actuator/system component faults into equivalent sensor faults. Then a bank of LPV FDI observers is designed to track individual fault with minimum error and suppress the effects of disturbances and other fault signals. The simulation results based on the nonlinear flexible HSV model and a nominal LPV controller demonstrate the effectiveness of the fault estimation technique for HSV.