有限时间镇定及其在电机速度控制中的应用

针对线性系统有限时间稳定并满足一定性能指标的控制器设计问题,结合有限时间有界与有限时间输入输出镇定方法,给出了满足性能约束的充分条件和状态反馈控制器的设计方法。而后将此方法应用于航天器控制力矩陀螺外框电机控制设计中,其目的是在理论上严格保证系统的某些状态有界,同时利用事先给定的有限时间区间满足系统的动态品质需求。仿真结果表明:加入控制器的闭环系统能快速跟踪参考信号,同时电流值亦能满足预先在不同时段给定的界。     

线性非时变离散系统带观测器的状态反馈分析

现代自动控制系统中,由计算机进行"在线辨识与控制"得到了广泛应用,从而使"离散系统"较"连续系统"更为受到重视,而线性连续系统的大多数概念、分析与综合方法等多方面都可以在线性离散系统再现,因此,重点研究了这两种系统间的不同点,如离散系统的能控、极点配置、观测器等等,最后用例题说明"带观测器的状态反馈分析",以示应用。今后还可将这种设计方法延伸到"鲁棒调节器设计"等。     

一类不确定非线性系统的有限时间输出调节方法

针对一类外系统是中性稳定的不确定非线性系统的输出调节问题,提出一种有限时间收敛的输出调节器的设计方法。该方法结合内模原理和有限时间稳定性理论,先根据输出调节问题可解的必要条件,将原受控系统和外系统的输出调节问题转化为增广系统的镇定问题;再利用动态面技术设计一种鲁棒有限时间稳定的镇定器,从而保证闭环系统的信号是全局最终有界的,并且使调节误差在有限的时间内收敛至任意给定的范围内。仿真结果说明了所设计调节器的有效性和可行性。     

中立型时滞系统基于观测器的控制器设计

针对一类线性不确定中立型时滞系统的状态观测器和基于观测器的鲁棒控制器设计问题,通过构造增广系统,基于线性矩阵不等式的方法,椎导了此类不确定系统状态观测器和基于观测器的鲁棒控制器存在的时滞相关充分条件,同时给出了相应的状态观测器和基于观测器的鲁棒控制器的求解。数值实例证明了该设计方案的可行性。     

离散系统降阶H∞控制器的设计

针对离散控制系统,研究其降阶H∞控制器设计方法.首先,采用线性矩阵不等式方法,给出离散系统状态反馈H∞控制器存在的条件;利用离散系统H∞控制器可解的条件,研究离散系统的降维观测器设计方法;通过设计系统的降维观测器,使降维观测器的观测输出和系统的状态反馈输入误差趋于零,以降阶观测器的输出作为系统的控制输入,使闭环控制系统...     

广义系统的瞬态有限时间控制

文章研究一类具有外部干扰的连续广义系统的有限时间和瞬态H_∞问题。应用广义Lyapunov函数和线性矩阵不等式的方法给出满足的充分条件,并通过一个仿真示例验证了所给条件的有效性。     

不确定中立时滞系统的鲁棒H∞控制

研究了一类具有范数有界不确定性中立时滞系统的鲁棒H∞控制问题。利用线性矩阵不等式(LMI)方法，给出了在状态反馈作用下，不确定中立时滞系统鲁棒可镇定且具H∞范数界的充分条件。并且基于此条件给出了无记忆状态反馈鲁棒H∞控制器设计方法。鲁棒H∞控制器保证闭环系统鲁棒稳定且满足给定的H∞范数约束条件，并可通过求解相应的线性矩阵不等式(LMI)得到。最后，数值算例说明了方法的可行性。     

不确定系统的变采样控制

针对如何设计一个状态反馈采样控制器使得具有参数不确定性的系统是指数稳定的问题,研究线性不确定系统的采样控制问题.基于输入延迟方法,将采样控制系统转化为具有时变延迟的连续系统,其中系统矩阵的参数不确定性是时变范数有界的且采样区间是有已知上界的.结合Lyapunov稳定性理论引入了一个新的时间依赖Lyapunov函数,以线...     

一类不确定Markov跳跃系统的自适应滑模控制

讨论了一类具有Markov跳跃参数的不确定混合线性系统的滑模控制问题.通过线性矩阵不等式方法,给出了系统在滑模面上均方意义下指数稳定的充分条件.当匹配参数不确定项范数上界未知时,提出了一种参数自适应滑模控制器,确保系统的运动轨迹在有限时间内到达滑模面并一直保持在滑模面上.仿真结果表明,所设计的自适应滑模控制器对匹配参数不确定性具有的鲁棒性.     

Lurie型不确定多时滞系统的时滞相关鲁棒绝对稳定性

研究了一类状态和控制具有不确定多时滞的、更加一般的Lurie型系统的鲁棒绝对稳定性,其中时滞是未知定常,不确定是范数有界的。通过Lyapunov泛函和线性矩阵不等式方法,得到了以线性矩阵不等式方式给出的时滞相关鲁棒稳定性充分条件。示例表明了本文结果的有效性。     

Adaptive finite-time output feedback control for Markov jumping nonlinear systems

In this article, the problem of output feedback tracking control for uncertain Markov jumping nonlinear systems is studied. A finite-time control scheme based on command filtered backstepping and adaptive neural network (NN) technique is given. The finite-time command filter solves the problem of differential explosions for virtual control signals, the NN is utilized to approximate the uncertain nonlinear dynamics and the adaptive NN observer is applied to restructure the state of system. The finite-time error compensation mechanism is established to compensate the errors brought by filtering process. The proposed finite-time tracking control algorithm can ensure that the solution of the closed-loop system is practically finite-time stable in mean square. Two simulation examples are employed to demonstrate the effectiveness of the proposed control algorithm.     

利用降维状态观测器离散系统的鲁棒容错控制

研究了线性离散不确定系统的鲁棒容错控制问题。针对线性离散控制系统存在不确定性和传感器失效的情况，利用降维观测器估计系统的状态，并基于估计的状态构成鲁棒容错控制律。给出了闭环系统具有鲁棒容错特性的充分条件。数值算例表明了算法的有效性。     

Finite-time asynchronous control of linear time-varying switched systems

In the framework of asynchronous control, finite-time stabilization and finite-time bounded stabilization of linear time-varying (LTV) switched systems are investigated. A necessary and sufficient condition for finite-time stability (FTS) of LTV switched systems is proposed based on differential matrix inequalities (DMIs). Moreover, we extend the FTS result to the case of finite-time boundedness (FTB), and present a sufficient condition of FTB for LTV switched systems using the average dwell time method which can be used for design proposes. Then we turn to the design problem of asynchronously switched control to guarantee FTS or FTB of LTV switched systems and give a sufficient condition for the state feedback stabilization in the form of nonlinear DMIs (NDMIs). A numerical method is proposed to solve NDMIs approximately. Finally, two examples are given to illustrate the validity of the results.     

Finite-time adaptive control for nonlinear systems with uncertain parameters based on the command filters

The trajectory tracking control problem for a class of nonlinear systems with uncertain parameters is considered in this article. A new adaptive finite-time tracking control is designed based on the adaptive backstepping method via the command filters. The command filter mechanism can avoid the calculation of partial derivatives and solve the “explosion of complexity” in the backstepping design. The compensation signals are introduced to eliminate errors produced by the command filters. The proposed adaptive backstepping control can guarantee the tracking error remains in a small neighborhood of the origin in finite time, while the practical finite-time stability of the control systems with uncertain parameters is proven by the stability criterion. The effectiveness of the proposed scheme is verified by some simulation results.     

Adaptive neural finite-time output-feedback tracking control for nonlinear stochastic nonstrict-feedback systems with input saturation

In this paper, an observer-based adaptive neural output-feedback control scheme is developed for a class of nonlinear stochastic nonstrict-feedback systems with input saturation in finite-time interval. The mean value theorem and the property of the smooth function are applied to cope with the difficulties caused by the existence of input saturation. According to the universal approximation capability of the radial basis function neural network, it will be utilized to compensate the unknown nonlinear functions. Based on the state observer, the finite-time Lyapunov stability theorem, we propose an adaptive neural output-feedback control scheme for nonlinear stochastic systems in nonstrict-feedback form. The developed controller guarantees that the system output signal can track the given reference signal trajectory, and all closed-loop signals are semi-globally finite-time stability in probability. The observer errors and the tracking error can converge to a small neighborhood of the origin. Finally, simulation results demonstrate the effectiveness of the developed control scheme.     

Novel fuzzy adaptive finite-time nonsmooth control for uncertain nonlinear systems

In this article, a novel fuzzy adaptive finite-time nonsmooth controller is developed to handle the finite-time tracking problem for a class of uncertain nonlinear systems. Different from traditional fuzzy adaptive approximation methods, proposed method contains only one adaptive parameter, no matter how many states there are in the system. By constructing a new Lyapunov function with prescribed performance bound, the transient and steady performances of control system can be ensured. Further, based on a criterion of finite-time semiglobal practical stability and backstepping technology, a novel fuzzy adaptive finite-time nonsmooth control method is designed. It can be demonstrated that proposed control can effectively ensure tracking error tends to small neighborhood in a finite time. Finally, two examples have been simulated by the proposed control method, and it shows effective tracking performance.     

一种双电船舶混合发电单元的有限时间控制器设计

超级电容/锂动力双电船舶中存在着众多级联的电力电子装置和闭环控制的负载变换器,它们都可被视为恒功率负载,其负阻抗特性会放大系统的不稳定,甚至导致整个系统无法正常工作。针对这一问题,提出一种新型有限时间控制器。首先,构建双电船舶直流电力推进系统的数学模型,介绍用于混合发电单元的比例/积分下垂控制。然后,基于有限时间控制理论设计了含双曲正切函数的新型有限时间控制器,通过所设计的有限时间观测器对各类扰动进行观测,并由控制器进行补偿。最后,搭建仿真模型及实验平台,其结果表明,所提控制器可以在保证混合发电单元对母线电压波动分频响应的同时,提高系统带恒功率负载时的大信号稳定性。     

Composite adaptive finite-time fuzzy control for switched nonlinear systems with preassigned performance

This article investigates the composite adaptive fuzzy finite-time prescribed performance control issue of switched nonlinear systems subject to the unknown external disturbance and performance requirement. First, by utilizing the compensation and prediction errors, the piecewise switched composite parameter update law is employed to improve the approximation accuracy of the unknown nonlinearity. Then, the improved fractional-order filter and error compensation signal are introduced to cope with the influences caused by the explosive calculation and filter error, respectively. Meanwhile, the effect of the compound disturbances consisting of the unknown disturbances and approximation errors is reduced appropriately by designing the piecewise switched nonlinear disturbance observer. Moreover, stability analysis results prove that the proposed preassigned performance control scheme not only ensures that all states of the closed-loop system are practical finite-time bounded, but also that the tracking error converges to a preassigned area with a finite time. Ultimately, the simulation examples are given to demonstrate the effectiveness of the proposed control strategy.