基于多环QFT的飞行仿真转台鲁棒控制

阐述了定量反馈理论(QFT)的基本原理及设计方法,并给出了某型飞行仿真转台的QFT控制器设计实例。为了有效地抑制高频测量噪声对系统的干扰,以及避免系统的高频不确定性,在单环QFT控制的基础上,引入了基于多环QFT的鲁棒控制。理论分析和仿真实验表明,这种多环QFT控制可以明显地缩减控制器的带宽,使系统具有很强的抗高频测量噪声的性能,达到了理想的控制效果。该方法在转台的控制上取得了成功的应用,具有广泛的应用价值。     

基于定量反馈理论的气动调节阀控制系统设计

为了使气动调节阀控制系统满足工业过程对于模型不确定性的鲁棒性要求,设计了1种基于定量反馈理论(QFT)的气动调节阀控制系统。基于QFT的控制器是1种二自由度控制器结构,由前置滤波器和反馈控制器组成。QFT对于控制对象的不确定性具有很强的鲁棒性,能够较好地避免气动调节阀控制系统在工业过程中受到的干扰和模型不确定性影响。通过对气动调节阀控制系统进行仿真分析,验证了基于QFT的控制方法能够较好地避免该系统的不确定性,使得该系统具有较强的鲁棒性,满足相应的性能指标要求。与传统基于常规比例积分微分(PID)控制方法的气动调节阀控制系统相比,基于QFT控制方法的气动调节阀控制系统更加适用于工业过程。     

融合GPC和QFT对不确定性系统的鲁棒控制

针对广义预测控制(GPC)与定量反馈理论(QFT)的特点,提出了把两种算法融合的鲁棒控制算法。该方法是在对QFT进行修改的基础上,采用双回路控制。内回路采用QFT控制器实现对系统不确定性的控制;外回路采用GPC控制器,实现对系统的各种性能要求并且提高鲁棒性。该方法可以充分利用两种控制理论的优点。最后的仿真结果显示,融合的算法比单独采用其中的任何一种控制算法所取得的控制效果都好。     

基于灵敏度理论的μ/QFT鲁棒飞行控制器设计

针对具有大的不确定性和非线性特性的对象,研究了一种综合μ方法和定量反馈理论(QFT)的鲁棒控制器的设计方法,使闭环系统具有良好的鲁棒性;该方法在利用μ理论设计初始控制器的基础上,采用QFT方法进行优化整形;其中,为便于μ方法权函数的选择和QFT边界曲线的计算,引进鲁棒控制中的灵敏度设计方法进行分析;最后,通过对一个实例的仿真分析验证了该方法的有效性和可行性。     

基于QFT和ZPETC的高精度鲁棒跟踪控制器设计

阐述了定量反馈理论(QFT)和零相差跟踪控制器(ZOETC)的基本原理及设计方法,并给出了设计实例。在QFT和ZPETC的基础上,提出了一种是实现高精度鲁棒跟踪控制的方案,采用QFT控制保证系统的鲁棒性,通过ZPETC提高系统的跟踪精度。仿真表明,这种方法实现了QFT和ZPETC的完美结合,很适合高精度跟踪系统的鲁棒控制。     

基于动力学等价的一种通用控制器的设计

在动力学运动方程的基础上,构建了一种系统状态观测器,该观察器能够精确估计被控对象的位置、速度和加速度而无需知道其数学模型。在此基础上,设计了一种通用控制器,该控制器通过系统运动的位置、速度和加速度的负反馈作用,把原被控对象的输出轨迹引导控制到期望的系统输出轨迹,能提高系统的控制品质和鲁棒性能。分析了PID控制器、内模控制器、状态控制器、预测控制器和鲁棒控制器的算法特性,指出这些控制器与所设计的通用控制器在动力学意义上具有等价性。     

一种基于QFT的锅炉水位鲁棒控制及分析

在工业实际应用中,锅炉汽包水位在系统动态特性发生较大变化并且受到各种干扰因素影响时,模型的参数将发生变化,成为一个不确定系统.基于此种情况,本文应用定量反馈理论(QFT),提出了基于QFT的锅炉水位鲁棒控制方案,即内回路采用小积分常数比例积分控制器快速消除给水扰动,外回路应用QFT理论设计出主控制器并对主控制器的PID参数进行了整定,以保证水位无静态偏差,仿真结果表明,此种控制方法能够达到比较满意的效果.     

基于PMAC的机器人控制器调试系统的研制

以工控机IPC与可编程多轴控制器PMAC(Programmable Multi-Axis Comroller)相结合的开放式结构作为六自由度喷涂机器人控制系统硬件平台.用Visual C#.NET研制了六自由度喷涂机器人控制器调试系统.包括了速度及加速度参数设置,关节空间运动调试,直角坐标空间运动调试及I/0端口调试四个方面.通过实验验证,该调试系统能够对六自由度喷涂机器人控制器工作的实时性,可靠性,安全性等性能有一个总体的评估.     

QFT与神经网络并行控制研究

阐述了定量反馈理论(Quantitative Feedback Theory,简称QFT)的基本原理及设计步骤,并给出了设计实例。在QFT的基础上,提出了一种QFT和神经网络并行控制的方案,以QFT为主控制器,神经网络进行动态误差补偿。QFT控制能克服对象的参数不确定性,保障系统的鲁棒性;神经网络可以进一步提高系统的跟踪精度。仿真表明,这种方法实现了QFT控制和神经网络控制的完美结合,很适合高精度伺服系统的鲁棒控制。     

基于状态机的巡线机器人控制系统设计

通过对巡线机器人运动控制系统的分析,提出采用有限状态机实现运动控制系统中的运动保护及机构定位系统的方法.结合巡线机器人运动控制的特殊需求,通过对运动控制系统的时序分析,设计了运动保护及定位系统的状态机.并在可编程器件上实现了巡线机器人运动控制器,从而给出了基于可编程器件设计控制系统的一种方法.     

基于Matlab语言定量反馈控制器的分析与设计

对定量反馈理论（QFT）的基本原理进行了介绍和利用Matlab语言工具箱进行设计的基本方法，Matlab通用QFT工具箱为用户进行QFT控制器的设计提供了有利的工具，文章就以典型二阶系统为例进行QFT控制器的设计，仿真的结果表明定量反馈理论在不确定系统设计中有着经典控制理论无法替代的性能。     

弹性飞机的QFT控制器设计

以某弹性飞机纵向模型为例,考虑模型的不确定性及外部扰动,应用定量反馈理论设计了其俯仰姿态保持系统.仿真结果表明,利用该理论方法设计的控制器能很好地抑制弹性飞机的结构弹性变形,具有良好的鲁棒性,并取得了满意的控制效果,证明了该方法在弹性飞机控制律设计中的有效性和实用性.     

Electrohydraulic force control design of a hardware-in-the-loop load emulator using a nonlinear QFT technique

This paper presents the design of a robust force control system for an electrohydraulic load emulator utilized as part of a hardware-in-the-loop flight simulation experiment. In this application, the force controlled hydraulic actuator is used to artificially recreate in-service loads upon a second hydraulic flight actuator operated in closed-loop position control. Electrohydraulic force control is more difficult than electrohydraulic position tracking because the load dynamics influence the force transfer function in a way that makes it challenging to develop an accurate force tracking system using simple feedback control. Nonlinear quantitative feedback theory (QFT) is applied in this paper to address this issue. First, an effective and robust feedback controller is designed by nonlinear QFT to desensitize the force control loop to nonlinear servovalve flow/pressure effects and typical system uncertainties. A secondary compensator is also designed within the QFT framework to extend the force tracking bandwidth with respect to the load motion. Experiments demonstrate acceptable force tracking performance within the scope of a representative flight-simulation experiment.     

Interactive computer-aided control design using quantitative feedback theory: the problem of vertical movement stabilization on a high-speed ferry

In a first approximation, the vertical acceleration associated with pitch motion can be considered as the main cause of motion sickness, which is without a doubt one of the most unpleasant disadvantages of maritime transport. The reduction of motion sickness can be stated as a monovariable regulation problem of a highly perturbed system. This work presents the design of a monovariable robust controller with quantitative feedback theory (QFT) for reducing the vertical movement on a high-speed ferry. The different stages of QFT methodology have been done with the help of the software tool QFTIT (Quantitative Feedback Theory Interactive Tool). This is a free software tool that is characterized by its ease of use and interactive nature. The designed regulator is validated experimentally in sea behaviour trials with a scaled down replica 1/25 the size of a high-speed ferry. The designed regulator is also compared with a gain-scheduling scheme using a proportional and derivative controller (PD).     

Analytical formulation to compute QFT bounds: The envelope method

This paper describes an analytical formulation to compute quantitative feedback theory (QFT) bounds in one‐degree‐of‐freedom feedback control problems. The new approach is based on envelope curves and shows that a QFT control specification can be expressed as a family of circumferences. Then, the controller bound is defined by the envelope curve of this family and can be obtained as an analytical function. This offers the possibility of studying the QFT bounds in an analytical way with several useful properties. Gridding methods are avoided, resulting in a lower computational effort procedure. The new formulation improves the accuracy of previous methods and allows the designer to calculate multivalued bounds. Copyright © 2009 John Wiley & Sons, Ltd.     

On quantitative feedback design for robust position control of hydraulic actuators

This paper discusses several practical issues related to the design of robust position controllers for hydraulic actuators by quantitative feedback theory (QFT). Important properties of the hydraulic actuator behavior, for control system design, are identified by calculating a family of equivalent frequency responses from acceptable nonlinear input–output data. The role of this modeling approach towards reducing over-design by decreasing the sizes of the QFT plant templates is described. The relationship between the geometry of the QFT bounds and the complexity of the robust feedback law is examined through the development of two low-order controllers having characteristics suitable for different applications. Experimental test results demonstrate the extent that each QFT controller is able to maintain robustness against variations in the hydraulic system dynamics that occur due to changing load conditions as well as uncertainties in the hydraulic supply pressure, valve spool gain, and actuator damping.     

High-precision control of linear actuators incorporating acceleration sensing

This paper presents the application of the acceleration sensor in the enhancement of the performance of high-precision motion tracking linear actuators which are based on permanent magnet linear motors (PMLM). A feedforward–feedback control structure is developed which harness effectively the acceleration measurements made available. It utilises a linear full-state feedback controller and an iterative learning feedforward controller (ILC). Experimental results show the acceleration feedback can improve the tracking performance and learning convergence of the control system.     

Simultaneous meeting of robust control specifications in QFT

Simultaneous meeting of different‐nature feedback control specifications requires special attention, particularly in the presence of uncertainties. This paper introduces some ideas to obtain a feasible set of QFT bounds, analysing the compatibility of the desired control specifications and the model uncertainty. It studies general robust feedback requirements and their mapping on QFT bounds through quadratic inequalities. Analysing them, it is possible to infer the bound typology with dependence on the model of each particular specification and the uncertainty size. Two bound typologies (amongst three categories: upper, outer and lower bounds) are possible for each type of control objective. On this basis, some general hints are established to guarantee compatible bounds at each frequency, before designing the controller. Copyright © 2003 John Wiley & Sons, Ltd.