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1.
Zhongyu Zhao Wen‐Fang Xie Henry Hong Youmin Zhang 《International Journal of Adaptive Control and Signal Processing》2011,25(6):519-534
In this paper, a disturbance‐decoupled adaptive observer is designed for the joint state‐parameter estimation of a system with unknown disturbance inputs. The proposed Robust Adaptive Observer (RAO) integrates an Unknown Input Observer (UIO) to the parameter estimation process, where the unknown parameters are estimated as extended states of the system. An auxiliary input is added to the UIO in coping with the estimation errors so that the exponential stability and convergence of the observer are guaranteed. The proposed observer is applied to a hydraulically driven elevator for the faulty parameter estimation. The simulation results show the accuracy of the observer and its robustness to both disturbances and measurement noises. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
2.
提出了一种基于数据驱动的微电网两阶段自适应鲁棒优化调度方法。首先,构建了基于数据驱动的微电网市场调度优化框架,利用K-means聚类方法对微电网大量历史数据进行聚类预处理,选取典型场景代表大量复杂场景来获得准确地风电出力概率分布情况。然后,在阶段一建立微电网日前预调度模型;基于预处理的聚类数据,建立数据驱动的风力发电的不确定性集合,在阶段二建立微电网实时调控模型。通过数据驱动构造的风力发电不确定性集合,排除了部分极端场景,降低了模型的保守度。接着,用列约束生成算法(C&CG)将构建的两阶段自适应鲁棒优化模型分解为主问题和子问题进行交互迭代求解。最后,仿真结果验证了所提方法的有效性,降低了微电网设备运行成本,提高了新能源利用率。 相似文献
3.
《IEEJ Transactions on Electrical and Electronic Engineering》2018,13(3):489-495
The problem of adaptive robust observer design is considered for a class of nonlinear systems with completely unknown nonlinear uncertainties and external disturbances. It is assumed that the external disturbances are continuous and have unknown upper bounds, and that the completely unknown nonlinear uncertainty can be approximated by neural networks or fuzzy logic. Particularly, in the actual observation process, approximation will not be used. For such a class of uncertain dynamical systems, a new adaptive robust state observer with a rather simpler structure is proposed. It is shown that the observation error between the state estimate and the true state can be guaranteed to converge asymptotically to zero. Finally, as a numerical example, a Chua circuit is given to demonstrate the validity of the results. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 相似文献
4.
H. Ríos D. Efimov W. Perruquetti 《International Journal of Adaptive Control and Signal Processing》2018,32(3):511-527
In this paper, the problem of simultaneous state and parameter estimation is studied for a class of uncertain nonlinear systems. A nonlinear adaptive sliding‐mode observer is proposed based on a nonlinear parameter estimation algorithm. It is shown that such a nonlinear algorithm provides a rate of convergence faster than exponential, ie, faster than the classic linear algorithm. Then, the proposed parameter estimation algorithm is included in the structure of a sliding‐mode state observer, providing an ultimate bound for the full estimation error and attenuating the effects of the external disturbances. Moreover, the synthesis of the observer is given in terms of linear matrix inequalities. The corresponding proofs of convergence are developed based on the Lyapunov function approach and input‐to‐state stability theory. Some simulation results illustrate the efficiency of the proposed adaptive sliding‐mode observer. 相似文献
5.
J. Taheri‐Kalani M.J. Khosrowjerdi 《International Journal of Adaptive Control and Signal Processing》2014,28(1):14-27
In this paper, the trajectory tracking problem for a wheeled mobile robot in the presence of kinematic and dynamic uncertainties has been addressed. Uncertainties are modeled as lumped disturbances. A kinematic controller based on feedback linearization approach and a dynamic controller based on model reference adaptive control are designed in the presence of disturbances. In order to ensure both robustness and implementability of the controllers, the disturbances are estimated by a generalized linear matrix inequality‐based disturbance observer. Simulation results show the effectiveness of the proposed method. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
6.
电液伺服系统的神经网络在线自学习自适应控制 总被引：6，自引：3，他引：6
针对电流伺服系统的复杂非线性和不确定性特性,提出了一种基于神经网络的在线自学习自适应控制策略,引入的神经网络模型可跟踪学习系统的时为动力学,控制器的设计依赖于系统的先验知识,控制参数的调整是基于被控过程的测量信息利用反馈误差学习算法实现的,该系统已应用大于型电液伺服结构试验机的控制,显示了优良的控制品质。 相似文献
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针对质子交换膜燃料电池PEMFC(proton exchange membrane fuel cell)系统的强非线性及强耦合特性,提出一种适用于PEMFC系统过氧比OER(oxygen excess ratio)估计的鲁棒非线性系统观测器,解决PEMFC系统中难于利用传感器直接测量的状态变量(如供应管道中空气质量、阴极侧氧气以及氮气质量等)准确估计的问题。通过矩阵变换,利用微分中值定理将动态误差系统转化为线性变参数系统。基于李雅普诺夫稳定性理论和凸性原理,将观测器设计问题转化为线性矩阵不等式LMI(linear matrix inequality)可行性问题。仿真结果表明所设计的观测器具有良好的收敛特性。 相似文献
8.
Sagar Mehta Krishna Vijayaraghavan 《International Journal of Adaptive Control and Signal Processing》2021,35(10):2108-2135
This article introduces a novel sliding mode observer design for sector bounded nonlinear systems. The proposed observer can simultaneously estimate both states and unknown parameters in the presence of disturbances and measurement noise. The observer is developed by using a time-averaged Lyapunov (TAL) functional to analyze the effect of noise (Gaussian) and to adequately reduce its effect on the system. The TAL averages the Lyapunov analysis over a small finite time interval, allowing for intuitive analysis of noises and disturbances acting on the system. The TAL is shown to satisfy all the requirements of a Lyapunov candidate function. The article focuses on the observer design for sector bounded nonlinear systems since several nonlinearities can be modeled using a sector bound. An optimization approach is also developed to provide a tight bound on the effect of the uncertainty on the estimated parameters. The conditions for the existence of the observer are presented in the form of linear matrix inequality (LMI), which can be explicitly solved offline using commercial LMI solvers. Furthermore, the LMI design is also extended to a specific case of a dissipative nonlinear system. The observer design has also been extended to the case where the input disturbance is correlated with the sensor noise. 相似文献
9.
针对电动汽车(Electric Vehicle,EV)供电端的蓄电池/超导混合储能系统(Battery/SMES Hybrid Energy Storage Systems,BSM-HESS)设计了一种新型非线性鲁棒分数阶控制(Nonlinear Robust Fractional-Order Control,NRFO... 相似文献
10.
为了研究带二次不确定参数线性系统的鲁棒够稳定和鲁棒镇定问题,考虑了D域为复平面左半平面的圆盘域,并采用线性矩阵不等式（LMI）方法,证明该系统鲁棒D稳定的充分条件等价于一个线性矩阵不等式的可解性问题,利用该LMI的可行解可求得了系统鲁棒镇定状态反馈控制器。通过实例说明了该方法的有效性。 相似文献
11.
《IEEJ Transactions on Electrical and Electronic Engineering》2018,13(10):1461-1467
The problems of robust stochastic stabilization and adaptive robust control are studied for stochastic systems with parameter uncertainties and time‐varying state delays. In this study, an assumption is made that the parameter uncertainties are time‐varying norm‐bounded, the upper bounds of which are unknown positive constants, and that the time‐varying delays are non‐negative continuous and bounded functions. In particular, the derivatives of these time‐varying delays are not required to be less than 1. For such a class of stochastic systems, a delay‐independent adaptive robust state feedback controller is proposed. By employing the Lyapunov functional method, it has been demonstrated that the equilibrium x(t) = 0 of such systems is globally asymptotically stable in probability. Finally, a numerical example is given to demonstrate the effectiveness of the results. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 相似文献
12.
静止无功补偿器(SVC)的一种新型非线性鲁棒自适应控制设计方法 总被引：6，自引：0，他引：6
为提高提高多机电力系统的暂态稳定性,该文首先建立了静止无功补偿器(static var compensator,SVC)系统的一个含有时变参数不确定性的二阶非线性动态模型,然后在SVC动态模型的基础上,利用自适应控制技术和鲁棒控制技术设计了SVC系统的控制器。为了验证所设计的控制器的有效性,以一个经典的三机九母线电力系统作为测试系统,对鲁棒自适应SVC控制器与PID SVC控制器和反馈线性化SVC控制器分别进行了比较研究。仿真结果表明,与PID SVC控制器和反馈线性化SVC控制器相比,所提出的鲁棒自适应SVC控制器具有良好的性能。 相似文献
13.
Sheng Zeng Zigang Pan Emmanuel Fernandez 《International Journal of Adaptive Control and Signal Processing》2010,24(4):287-310
In this paper, we present robust adaptive controller design for SISO linear systems with zero relative degree under noisy output measurements. We formulate the robust adaptive control problem as a nonlinear H∞‐optimal control problem under imperfect state measurements, and then solve it using game theory. By using the a priori knowledge of the parameter vector, we apply a soft projection algorithm, which guarantees the robustness property of the closed‐loop system without any persistency of excitation assumption of the reference signal. Owing to our formulation in state space, we allow the true system to be uncontrollable, as long as the uncontrollable part is stable in the sense of Lyapunov, and the uncontrollable modes on the jω‐axis are uncontrollable from the exogenous disturbance input. This assumption allows the adaptive controller to asymptotically cancel out, at the output, the effect of exogenous sinusoidal disturbance inputs with unknown magnitude, phase, and frequency. These strong robustness properties are illustrated by a numerical example. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
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电静液作动器(EHA)要求无刷直流电机能够频繁起动和制动,并具有较快的动态响应。针对常规PID控制在非线性系统中应用的不足,将单周控制方法用于EHA无刷直流电机系统中,采用单周控制器控制电机的力矩输出,以提高系统的抗干扰能力和动态性能,采用常规的PI控制器完成系统的位置和转速控制,系统结构简单且容易实现。仿真结果表明,电流环引入单周控制方法后,系统的快速性更好,稳态运行下电机转速、转矩波动更小。以1台转角功率为28 k W的EHA和FPGA+DSP结构的数字控制器为平台进行试验,试验结果验证了基于单周控制的EHA系统具有优良的稳态和动态性能。 相似文献
16.
Hadi Azmi Mohammad Javad Khosrowjerdi 《International Journal of Adaptive Control and Signal Processing》2017,31(12):1885-1902
This paper presents 2‐novel linear matrix inequality (LMI)‐based adaptive output feedback fault‐tolerant control strategies for the class of nonlinear Lipschitz systems in the presence of bounded matched or mismatched disturbances and simultaneous occurrence of actuator faults, including failure, loss of effectiveness, and stuck. The constructive algorithms based on LMI with creatively using Lyapunov stability theory and without the need for an explicit information about mode of actuator faults or fault detection and isolation mechanism are developed for online tuning of adaptive and fixed output‐feedback gains to stabilize the closed‐loop control system asymptotically. The proposed controllers guarantee to compensate actuator faults effects and to attenuate disturbance effects. The resulting control methods have simpler structure, as compared with most existing recent methods and more suitable for practical systems. The merits of the proposed fault‐tolerant control scheme have been verified by the simulation on nonlinear Boeing 747 lateral motion dynamic model subjected to actuator faults. 相似文献
17.
Dur‐e‐Zehra Baig Rashid Ahmad Andrey Savkin Branko Celler 《International Journal of Adaptive Control and Signal Processing》2019,33(5):843-854
The aim of the study is to regulate the human heart rate (HR) response to a predefined reference profile during aerobic activities of unknown type. A novel feature of the designed control system is obtained to generate the desired rhythmic movements, which is required to achieve the target HR profile during aerobic activities of unknown type. These rhythmic movements or frequency of locomotion is known as the exercise rate (ER) and is quantified as a fundamental measure of exercise intensity. The relationship between ER and HR is modeled by using a linear time‐varying system. The parameters of the model are estimated using a Kalman filter. Based on this model, a robust adaptive H∞ controller is designed. The H∞ controller generates target ER (ERT) corresponding to target HR (HRT). This ERT is communicated to the exercising subject by using a human actuating system (HAS). The role of HAS is to achieve ERT. To validate the performance of the system, it is tested on six healthy subjects during rowing and cycling exercises. The results demonstrate that the designed control system can regulate HR at a given profile with an average root mean square error of 3.1857 bpm and 2.9396 bpm for rowing and cycling, respectively. The developed system can be used for designing an optimal exercising protocol for individuals. 相似文献
18.
In this paper, we solve a robust stabilization problem for cascaded nonlinear systems with uncertainty using an integral forwarding method. It is assumed that the uncertainty is expressed by a gain bounded unknown nonlinear function. First, under suitable assumptions, a storage function which renders the cascaded nonlinear system robust passive is constructed. Next, it is shown that the storage function plays the role of a Lyapunov function with which the nonlinear system can be made globally robust stabilized by output feedback control. © 2000 Scripta Technica, Electr Eng Jpn, 134(2): 29–35, 2001 相似文献
19.
为了解决永磁同步电机(PMSM)位置伺服系统中存在的内部参数摄动、负载扰动以及外界不确定性干扰等问题,设计了基于非线性干扰观测器(NDO)的自适应反演滑模控制器.通过NDO对系统存在的扰动进行观测,并将观测结果引入到自适应反演滑模控制器进行补偿.针对引入NDO后的系统,设计自适应反演滑模控制器,对滑模控制器中的切换增益... 相似文献
20.
针对负载扰动对电机驱动的影响,提出一种基于扰动观测器的PMSM无速度传感器控制方法。该方法使用自适应扩展状态观测器(AESO)观测电机转速,并设计了电机定子电阻自适应律,实时更新定子电阻值。同时设计了一种自适应积分状态反馈控制器(AISFC),将定子电阻估计值作为控制器输入,实时更新控制器中的电阻值,消除了定子电阻变化对控制器控制精度的影响。仿真结果表明,该控制方法具有良好的控制性能和鲁棒性。 相似文献