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Transportation-cyber-physical-systems-oriented engine cylinder pressure estimation using high gain observer

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Chinese Physics B 2015年第5期24卷 621-626页

作者：李永福寇晓培郑太雄李银国 Center for Automotive Electronics and Embedded System College of Automation Chongqing University of Posts and Telecommunications

In transportation cyber-physical-systems （T-CPS）, vehicle-to-vehicle （V2V） communications play an important role in the coordination between individual vehicles as well as between vehicles and the roadside infrastructures, and engine cylinder pressure is significant for engine diagnosis on-line and torque control within the information exchange process under V2V communications. However, the parametric uncertainties caused from measurement noise in T-CPS lead to the dynamic performance deterioration of the engine cylinder pressure estimation. Considering the high accuracy requirement under V2V communications, a high gain observer based on the engine dynamic model is designed to improve the accuracy of pressure estimation. Then, the analyses about convergence, converge speed and stability of the corresponding error model are conducted using the Laplace and Lyapunov method. Finally, results from combination of Simulink with GT- Power based numerical experiments and comparisons demonstrate the effectiveness of the proposed approach with respect to robustness and accuracy.

关键词： transportation cyber-physical-systems high gain observer cylinder pressure estimation vehicle- to-vehicle communications

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Output feedback control of hypersonic vehicles based on neural network and high gain observer

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Science China(Information Sciences) 2011年第3期54卷 429-447页

作者： LI XinDong,XIAN Bin,DIAO Chen,YU YanPing,YANG KaiYan & ZHANG Yao The Tianjin Key Laboratory of Process Measurement and Control,School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China The Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China

In this paper,the output feedback control problem for a genetic hypersonic vehicle is considered under the restriction that only the vehicle’s velocity and altitude are measurable. high gain observers (HGO) are utilized to provide estimation signals for unmeasurable derivatives of the vehicle’s velocity and altitude. Neural network based feedforward function is designed to compensate for model uncertainties. The proposed control design require less knowledge of the hypersonic vehicle’s dynamic model. A comprehensive stability analysis of the closed loop system under the output feedback control is carried to prove that the proposed control law yields semiglobal uniformly ultimately bounded tracking while keeping all the closed loop signals bounded. Numerical simulation results are presented to validate the proposed control design.

关键词： hypersonic vehicle nonlinear output feedback control neural network high gain observer

Horizontal Trajectory Tracking Control of AUV Using a Two-way Channel high gain observer

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Horizontal Trajectory Tracking Control of AUV Using a Two-wa...

Pattern-based learning and control of nonlinear pure-feedback systems with prescribed performance

第37届中国控制会议

作者： Zheping Yan Zewen Yang Jiajia Zhou Heming Jia Lu Wang Harbin Engineering University Northeast Forestry University

As the complexity and variety of actual sea conditions,autonomous underwater vehicles（AUVs） are subject to unknown disturbances in the horizontal plane which can cause the control system *** this paper,the kinematics and the dynamics of an under-actuated AUV in horizontal plane are simplified considering environmental *** the trajectory tracking error of the system is *** external disturbances are estimated by using a high gain observer,which can not be directly *** observer is designed in two-way channels of longitudinal velocity and transverse *** order to deal with nonholonomic constraints,coupling,nonlinearity and current disturbance in the tracking control,a trajectory tracking controller is designed using the backstepping method,which can make the closed-loop system globally eventual *** order to verify the robustness and validity of the proposed controller,a sinusoidal time-varying trajectory curve is designed from the perspective of practical *** numerical simulation shows that the vehicle can track the desired trajectory and the tracking error tends to zero quickly.

关键词： autonomous underwater vehicle(AUV) trajectory tracking high gain observer backstepping

来源： cnki会议评论

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Science China(Information Sciences) 2023年第1期66卷 188-209页

作者： Fukai ZHANG Weiming WU Cong WANG Center for Intelligent Medical Engineering School of Control Science and EngineeringShandong University

This article presents a novel pattern-based intelligent control scheme with prescribed performance(PP) for uncertain pure-feedback systems operating in multiple control situations(patterns). Based on PP,an observer-based adaptive neural network(NN) control approach, which not only achieves system stability and prescribed tracking control performance but also realizes accurate identification/learning of the unknown closed-loop dynamics via deterministic learning and uses only one NN unit, is proposed. Subsequently, the knowledge learned is utilized to construct high-performance candidate controllers for each control *** on the transformed system and observer technique, accurate classification of the nth order systems under different control situations is achieved by requiring only one set of dynamic estimators, thereby significantly reducing the complexity of pattern recognition. Thus, sudden changes in the control situation can be rapidly recognized based on the minimum residual principle, with which the correct candidate controller is selected to achieve superior control performance. The simulation results verify the efficacy of the proposed scheme.

关键词： adaptive neural control (ANC) deterministic learning neural networks (NNs) pattern-based control high gain observer pure-feedback systems

Adaptive neural control based on HGO for hypersonic flight vehicles

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Science China(Information Sciences) 2011年第3期54卷 511-520页

作者： XU Bin 1,2 , GAO DaoXiang 3 & WANG ShiXing 1 1 Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China 2 Autonomous System Lab, ETH Zurich Zurich 8092, Switzerland 3 School of Technology, Beijing Forestry University, Beijing 100083, China Department of Computer Science and Technology Tsinghua University Beijing China Autonomous System Lab ETH Zurich Zurich Switzerland School of Technology Beijing Forestry University Beijing China

This paper describes the design of adaptive neural controller for the longitudinal dynamics of a generic hypersonic flight vehicle (HFV) which are decomposed into two functional systems, namely the altitude subsystem and the velocity subsystem. For each subsystem, one adaptive neural controller is investigated based on the normal output-feedback formulation. For the altitude subsystem, the high gain observer (HGO) is taken to estimate the unknown newly defined states. Only one neural network (NN) is employed to approximate the lumped uncertain system nonlinearity during the controller design which is considerably simpler than the ones based on back-stepping scheme with the strict-feedback form. The Lyapunov stability of the NN weights and filtered tracking error are guaranteed in the semiglobal sense. Numerical simulation study of step response demonstrates the effectiveness of the proposed strategy in spite of system uncertainty.

关键词： adaptive neural control hypersonic flight vehicle high gain observer output-feedback

Control Design and Implementation of a Spiral Spring Energy Storage System Connected to a Grid via PMSG

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CSEE Journal of Power and Energy Systems 2018年第3期4卷 339-351页

作者： Yang Yu Zengqiang Mi Xudong Guo Xitong Niu Xiaojiang Zheng Chenjun Sun State Key Laboratory of Alternate Electrical Power Systems with Renewable Energy Sources North China Electric Power UniversityBaoding 071003China State Grid Hebei Maintenance Branch Shijiazhuang 050031China Commercial Aircraft Control Information Technology(Shanghai)Co. LtdShanghai 201108China State Grid Hebei Electric Power Company Shijiazhuang 050022China

For an innovative spiral spring energy storage system,the permanent magnet synchronous generator(PMSG)is utilized as the energy conversion device due to its simple structure,low weight and high *** power generation,the output torque and moment of inertia of the spiral spring are changing continuously and simultaneously and the parameters of the PMSG show ***,the DC link voltage of the converter should be stable and the power injected into the grid needs to be ***,the change features of the external power source and the uncertainties of the generator’s internal parameters are expressed as the comprehensive disturbances,which are introduced into the dynamic model of the PMSG and also modify the dynamic ***,the high gain observers are utilized to estimate the comprehensive disturbances,and an improved robust backstepping control scheme integrating L2 gain and high gain observers is ***,the gridside inverter controller for the DC voltage loop and reactive power loop is designed based on the backstepping ***,hardware implementation is fulfilled to verify the presented *** results show that high gain observers are able to accurately estimate the external and internal interferences;the proposed control scheme can effectively suppress the external and internal interferences and guarantees output current,operating speed of the PMSG and output reactive power to correctly track respective references,and effectively stabilize the DC link voltage.

关键词： Backstepping control high gain observer L2 gain permanent magnet synchronous generator spiral spring energy storage system

Unknown input reconstruction based on auxiliary output

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Unknown input reconstruction based on auxiliary output