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An ammonia coverage ratio observing and trackingcontroller: stability analysis and simulation evaluation

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Science China(Information Sciences) 2019年第6期62卷 54-71页

作者： Jinghua ZHAO Xun GONG Yunfeng HU Jinwu GAO Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University (Campus Nanling) Department of Control Science and Engineering Jilin University (Campus Nanling) Computer College Jilin Normal University

In urea selective catalytic reduction(urea-SCR) systems, the ammonia coverage ratio is an important parameter for satisfying emission regulations. However, this parameter cannot be directly measured by onboard sensors. Most of observers and tracking controllers for the ammonia coverage ratio in the existing literature were designed separately and lacked an overall robustness analysis. In this paper, an observing and tracking controller(AOTC), along with its overall design and stability analysis, is proposed under inputto-state stability(ISS) theory. The proposed AOTC strategy consists of a sliding mode observer based on NHconcentration dynamics and a tracking controller based on the observer dynamics. The stability is discussed considering the uncertainties about the conversion of urea to NHand the cross-sensitivity of the NOsensor, and the principle for adjusting the control parameters is provided. A few transient simulations are conducted to evaluate the effectiveness of the proposed AOTC strategy.

关键词： diesel emission control urea-SCR system nonlinear control sliding mode observer input-to-state stability

A Voltage Sensorless Finite Control Set-model Predictive Control for Three-Phase Voltage Source PWM Rectifiers

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Chinese Journal of Electrical Engineering 2016年第2期2卷 52-59页

作者： Haitao Yang Yongchang Zhang Nong Zhang Paul D.Walker Jihao Gao School of Electrical Mechanicaland Mechatronic SystemsUniversity of TechnologySydneyNSW 2007Australia Inverter Technologies Engineering Research Center of Beijing North China University of TechnologyBeijing100144China

In this paper,a grid voltage sensorless model predictive control is proposed and verified by simulation and experimental tests for a PWM *** presented method is simple and cost effective due to no need of modulator and voltage *** developed sliding mode voltage observer(SMVO)can theoretically track the grid voltage accurately without phase lag and magnitude *** on the proposed SMVO,the finite control set-model predictive control(FCS-MPC)is incorporated for power *** active power and reactive power are calculated and predicted using the measured current and the estimated grid voltage from the *** the predicated power for one-step delay compensation,the best voltage vector minimizing the tracking error is selected by *** whole algorithm is implemented in stationary frame without using Park's *** the simulation and experimental results validate the effectiveness of the proposed method.

关键词： model predictive control(MPC) voltage sensorless control sliding mode observer three-phase voltage source rectifier(VSR).

Adaptive backstepping control of tracked robot running trajectory based on real-time slip parameter estimation

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International Journal of Agricultural and Biological Engineering 2020年第4期13卷 178-187页

作者： En Lu Zheng Ma Yaoming Li Lizhang Xu Zhong Tang School of Agricultural Equipment Engineering Jiangsu UniversityZhenjiangJiangsu 212013China World Precise Machinery(China)Co. LtdWorld Industrial ParkPicheng TownDanyangJiangsu 212311China

To ensure the stable driving of tracked robots in a complex farmland environment,an adaptive backstepping control method for tracked robots was proposed based on real-time slip parameter *** to the kinematics analysis method,the kinematic model of the tracked robot was established,and then,its pose error differential equation was further *** this basis,the trajectory tracking controller of the tracked robot was designed based on the backstepping control ***,according to the trajectory tracking error of the tracked robot,the back propagation neural network(BPNN)was used to adaptively adjust the control parameters in the backstepping controller,and the inputs of the BPNN are the trajectory tracking error xe,ye,θ*** that,the soft-switching sliding mode observer(SSMO)was designed to identify the slip parameters during the running of the tracked *** then the parameters were compensated into the adaptive backstepping controller to reduce the trajectory tracking *** simulation results show that the proposed adaptive backstepping control method with SSMO can improve the accuracy of the trajectory tracking control of the tracked ***,the designed SSMO can accurately estimate the slip parameters.

关键词： tracked robot trajectory control adaptive backstepping control neural networks slip parameter sliding mode observer

Stabilizing periodic orbits of Chua’s system using adaptive fuzzy sliding mode controller

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International Journal of Intelligent Computing and Cybernetics 2019年第1期12卷 102-126页

作者： Hanène Medhaffar Moez Feki Nabil Derbel CEMLab ENISUniversity of SfaxSfaxTunisia ESSTHS University of SousseSousseTunisia

Purpose–The purpose of this paper is to investigate the stabilization of unstable periodic orbits of Chua’s system using adaptive fuzzy sliding mode controllers with moving ***/methodology/approach–For this aim,the sliding mode controller and fuzzy systems are combined to achieve the ***,the authors propose a moving sliding surface to improve robustness against uncertainties during the reaching phase,parameter variations and extraneous ***–Afterward,the authors design a sliding observer to estimate the unmeasurable states which are used in the previously designed ***/value–Numerical results are provided to show the effectiveness and robustness of the proposed method.

关键词： sliding mode control sliding mode observer Chaos control Fuzzy adaptive systems,Moving sliding surface

Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network

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International Journal of Automation and computing 2008年第4期5卷 401-405页

作者： Mou Chen Chang-Sheng Jiang Qing-Xian Wu College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016PRC

In this paper,a sliding mode observer scheme of sensor fault diagnosis is proposed for a class of time delay nonlinear systems with input uncertainty based on neural *** sensor fault and the system input uncertainty are assumed to be unknown but *** radial basis function (RBF) neural network is used to approximate the sensor *** on the output of the RBF neural network,the sliding mode observer is *** the Lyapunov method,a criterion for stability is given in terms of matrix ***,an example is given for illustrating the availability of the fault diagnosis based on the proposed sliding mode observer.

关键词： Uncertain nonlinear system time delay radial basis function (RBF) neural network sliding mode observer fault diag-nosis.

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Drag Tracking sliding mode Control For Mars Atmospheric Reentry 36

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Drag Tracking Sliding Mode Control For Mars Atmospheric Reen...

PARAMETER ESTIMATION METHODOLOGY FOR NONLINEAR SYSTEMS:APPLICATION TO INDUCTION MOTOR

第36届中国控制会议

作者： Yue Sun Xianlin Huang Hongqian Lu Hang Yin Control Theory and Guidance Technology Center of Harbin Institute of Technology

ISBN: (纸本)9781538629185

In view of the mars reentry problem under external disturbance,this paper presents a guidance algorithm based on drag *** of all,the reference drag is calculated based on the reentry model and the reference ***,estimated disturbance via the sliding mode observer,this paper improve the accuracy of the controller parameters and increase the anti-disturbance ***,the sliding mode guidance law for drag tracking is proposed based on the observer,reentry model and the reference *** simulation results indicate that the anti-disturbance capability of the guidance law is increased by introducing the sliding mode *** proposed guidance law can effectively enhance the response speed and decrease the tracking errors,with higher practical value,compared with the traditional PD algorithm.

关键词： Mars reentry sliding mode observer Drag tracking Complex control

来源： cnki会议评论

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Journal of Systems Science and Systems Engineering 2005年第2期14卷 240-254页

作者： G.KENNE F.FLORET H.NKWAWO F.LAMNABHI-LAGARRIGUE Département de Genie Electrique IUT-FV BandjounUniversité de Dschang B.P.134 Bandjoun Cameroun L2TI Université Paris XIII99 Avenue Jean Baptiste Clément 93430 VilletaneuseFrance Département GEII Université Paris XIII 99 Avenue Jean Baptiste Clément 93430 Villetaneuse France L2S CNRS-SUPELECUniversité Paris XI3 Rue Joliot Curie 91192 Gif-sur-Yvette France

This paper deals with on-line state and parameter estimation of a reasonably large class of nonlinear continuous-time systems using a step-by-step sliding mode observer approach. The method proposed can also be used for adaptation to parameters that vary with time. The other interesting feature of the method is that it is easily implementable in real-time. The efficiency of this technique is demonstrated via the on-line estimation of the electrical parameters and rotor flux of an induction motor. This application is based on the standard model of the induction motor expressed in rotor coordinates with the stator current and voltage as well as the rotor speed assumed to be measurable. Real-time implementation results are then reported and the ability of the algorithm to rapidly estimate the motor parameters is demonstrated. These results show the robustness of this approach with respect to measurement noise, discretization effects, parameter uncertainties and modeling inaccuracies. Comparisons between the results obtained and those of the classical recursive least square algorithm are also presented. The real-time implementation results show that the proposed algorithm gives better performance than the recursive least square method in terms of the convergence rate and the robustness with respect to measurement noise.

关键词： Time-varying parameter estimation/identification sliding mode observer equivalent dynamic real-time implementation induction motor

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Robust Impedance Control of Robots Using an Adaptive Interaction Force observer

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Instrumentation 2019年第4期6卷 2-13页

作者： Yanjun WANG Yunfei ZHANG Shujun GAO Clarence W.DE SILVA ViWiSTAR Technologies Ltd. CanadaV6T 1Z4 Dept.of Mechanical Engineering The University of British ColumbiaCanadaV6T 1Z4

For robot interaction control,the interaction force between the robot and the manipulated object or environment should be *** control is a type of interaction ***,in impedance control,the dynamic relationship between the interaction force and the resulting motion is *** order to control the impedance of a mechanical system,typically,the interaction force has to be *** to the inherent limitations of direct force sensing at the interaction site,in the present work,the interaction force is observed using robust *** particular,to enhance the accuracy of impedance control,a first order sliding mode impedance controller is designed and incorporated in the present *** advantage over positionbased interaction control algorithms is demonstrated through *** results are given to show the effectiveness of the proposed algorithms.

关键词： Interaction Control Impedance Control Neural Networks sliding mode observer sliding mode Control

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Sensorless Control of Switched Reluctance Motor Drive Systems

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Journal of Energy and Power Engineering 2013年第1期7卷 118-125页

作者： Ali Oshieba Hassan Bflzzi Hady Abdel-Maksoud Mahmoud Khater Department of Electrical and Electronic Engineering School of Engineering Lebanese International University Beirut 146404Lebanon Department of Electrical Engineering Faculty of Engineering Minoufiya University Shebin El-Kom 32511 Egypt

This paper presents a sliding mode observer for sensorless operation of SRM （switched reluctance motor） drive. Design of such an observer depends mainly on the nonlinear model of SRM. In this technique, neither extra hardware nor huge memory space are not required but it only requires active phase measurements. Furthermore, PI （proportional integral） and adaptive FLPI （fuzzy logic PI） controllers are suggested to operate individually along with the SMO （sliding mode observer） to cover a full speed range of sensorless controller. Both controller schemes operate in PWM （pulse width modulation） control mode. The proposed observer is implemented and tested using a digital signal processor. All results obtained with both simulation and experimental investigations corroborate the superior performance of the adaptive fuzzy logic controller （FLPI） when compared with those of PI controller.

关键词： Switched reluctance motor sliding mode observer adaptive fuzzy logic control PI controller.