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Identification and Control of LCC-S WPT Systems Using a linear parameter varying model

IEEE TRANSACTIONS ON POWER ELECTRONICS 2024年第9期39卷 11862-11873页

作者： Feng, Yuchen Chen, Fengwei Sun, Yue Lin, Tao Meng, Fanbin Hu, Hongsheng Chongqing Univ Sch Automat Chongqing 400044 Peoples R China

In this article, the problem of modeling and control of an LCC-S wireless power transfer (WPT) system in the presence of rectifier discontinuous conduction and load variation is considered. The diode bridge in an LCC-S WPT system often enters the discontinuous conduction mode (DCM), due to its unidirectional conductivity property. To better handle this type of nonlinearity, a linear parameter varying (LPV) model, which allows the model parameters to change with respect to a set of chosen dependence variables, is suggested to describe the dynamic behavior of the system. Based on this LPV model, a modified two degrees of freedom internal model control structure is proposed. The proposed control structure can switch between open loop and closed loop: when the system is in DCM, the system is configured as open loop because the load voltage or current is uncontrollable from the primary side, where any control action may impair the control system performance;otherwise, the system is operated in closed loop. Experimental results are provided to validate the effectiveness of the proposed modeling and control method.

关键词： Integrated circuit modeling Mathematical models Load modeling Rectifiers Analytical models Accuracy Polynomials Discontinuous conduction mode internal model control linear parameter varying model wireless power transfer

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Delay dependent wide area damping controller design for a linear parameter varying (LPV) power system model considering actuator saturation and changing environmental condition

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SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 2022年第2期47卷 1-14页

作者： Sengupta, Anirban Das, Dushmanta Kumar Sikkim Manipal Univ Sikkim Manipal Inst Technol Dept Elect & Elect Engn Gangtok India Natl Inst Technol Nagaland Dept Elect & Elect Engn Chumukedima India

The performance of a wide area damping controller (WADC) can be affected considerably if a photovoltaic (PV) power plant is integrated with the power system. A WADC using state feedback control law is proposed in this paper to eliminate the frequency oscillation of interconnected power system integrated with solar PV cell. Output power of the solar PV cell varies with irradiation. This variation in power degrades the performance of the WADC. Communication delay, which is always present in case of wide area measurement system (WAMS) also has a detrimental effect on the effectiveness of WADC. Another non-linear phenomenon which is always present in the WADC is the saturation of the actuator which reduces the effectiveness of the controller. The damping controller developed in this paper contemplates the effect of saturation of the actuator, time varying delay and changing operating condition using linear matrix inequality (LMI) criterion. The changing operating conditions are considered using a linear parameter varying (LPV) modelling of the system. After developing the LPV model of the system, the model is converted into a tensor product (TP) model. A supplementary damping controller (SDC) is considered in this paper as the WADC. The actuator of the damping controller is a thyristor controlled series capacitor (TCSC). A modified two area 11-bus power system with PV power plant and modified IEEE 39-bus power system with PV power plant is used as a test system to understand the usefulness of the designed controller.

关键词： Wide area damping controller solar photovoltaic LMI time delay actuator saturation tensor product linear parameter varying model

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Identification of Continuous-Time linear parameter varying Systems With Noisy Scheduling Variable Using Local Regression

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IEEE ACCESS 2024年 12卷 34235-34246页

作者： Padilla, Arturo Garnier, Hugues Yuz, Juan I. Chen, Fengwei Poblete, Carlos Munoz Univ La Frontera Dept Mech Engn Temuco 4811230 Chile Univ Lorraine CNRS CRAN F-54000 Nancy France Univ Tecn Federico Santa Maria Dept Elect Engn Valparaiso 2390235 Chile Chongqing Univ Sch Automat Chongqing 400044 Peoples R China Univ La Frontera Dept Elect Engn Temuco 4811230 Chile

Some nonlinear systems can be represented through linear parameter varying models. In this work, we address the estimation of continuous-time linear parameter varying models in output error form, using a refined instrumental variable method. A distinguished feature of a linear parameter varying model is that it has parameters that depend on an external signal called the scheduling variable. In this paper, we assume that the scheduling variable is noisy, a condition which is often met in practice, but not frequently considered in the literature. On the other hand, there are applications in which the noise-free version of the scheduling variable is smooth. Under such scenario we can simply filter the scheduling variable before estimating the linear parameter model. Nonetheless, there are cases where special smoothing techniques are required. In this study, we consider one of these special cases, and we use the well-known local regression method as smoothing technique. A numerical example based on a Monte Carlo simulation shows the benefits of the proposed approach.

关键词： Estimation Noise measurement linear systems Adaptation models Instruments White noise Smoothing methods Continuous time systems parameter estimation Continuous-time system identification instrumental variable method linear parameter varying model local regression smoothing method

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A Reliable Robust Control Method for Vehicle Lateral Dynamics With Preview Driver model

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2025年第1期26卷 354-370页

作者： Liu, Congzhi Li, Liang Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400030 Peoples R China Tsinghua Univ State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China

To address the vehicle lateral dynamics control in practical application with nonlinearity, uncertainty, detection faults and disturbances, this paper describes three key elements in the controller design that address the safety and comfort performance challenges, i.e., high precision modeling, redundant detection and robust control. Firstly, the vehicle dynamics model, tire model and preview driver model are augmented into a coupled lateral dynamics model, which is linearized and then transformed into a linear parameter varying (LPV) model with the varying motion states and tire cornering stiffness. Secondly, a redundant detection strategy is proposed for the lane-marker- based lateral control system to improve the reliability. According to the different detection states and sequences, an H-infinity state observer is designed for the vehicle motion state estimation, where a tracking and prediction strategy of the lane markers is considered for the constraint of the dwell time to guarantee the exponential stability. Considering the linearization errors, model uncertainty and disturbances in the LPV model, the H(infinity )observer-based controller is designed to improve the stability and robustness based on the Lyapunov stability theory. Lastly, three similar experiment scenarios are given to demonstrate the effectiveness of the proposed method.

关键词： H(infinity )control theory linear parameter varying model preview driver model linearized brush tire model coupled lateral dynamics redundant detection strategy

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Longitudinal model identification of multi-gear vehicles using an LPV approach

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MATHEMATICS AND COMPUTERS IN SIMULATION 2024年 216卷 1-14页

作者： Marashian, Arash Razminia, Abolhassan Shiryaev, Vladimir I. Ossareh, Hamid R. Abo Akad Univ Fac Nat Sci & Engn Proc Control Lab Turku Finland South Ural State Univ Chelyabinsk 454080 Russia Univ Vermont Dept Elect & Biomed Engn Burlington VT 05405 USA

This paper aims to provide a data-driven approach for modeling the longitudinal dynamics of a typical ground vehicle with a gasoline engine and automatic transmission. In the identification process, a linear parameter varying (LPV) model is considered, whose inputs are throttle level and road grade and whose parameters vary as a function of throttle level and gear number to capture the nonlinear dynamics. Three parametric structures based on time-series modeling (ARX, ARMAX, BJ) are investigated, whose performances are discussed comparatively. In addition to selecting the best structure, an optimization problem is proposed to acquire the optimal model order of these structures. It is shown, using semi-experimental tests on the CarSim (R) (R) software package, that the dynamics of different vehicles can best be represented by different model orders. To evaluate the versatility and utility of the proposed LPV model, a PI controller is tuned using the model, and the closed-loop performance of the system is compared against the model. It is shown that the LPV model is very accurate in closed-loop settings. (c) 2023 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

关键词： System identification Longitudinal dynamics linear parameter varying model

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Study on inversion control for integrated helicopter/engine system with variable rotor speed based on state variable model

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INTERNATIONAL JOURNAL OF TURBO & JET-ENGINES 2023年第1期40卷 21-29页

作者： Wang, Yong Zheng, Qiangang Zhang, Haibo Chen, Haoying Nanjing Univ Aeronaut & Astronaut Coll Energy & Power JiangSu Prov Key Lab Aerosp Power Syst 29 Yudao St Nanjing 210016 Peoples R China

In order to realize the fast response control for turboshaft engine with variable rotor speed, a dynamic inversion (DI) control method based on state variable model of turboshaft engine is proposed. Meanwhile, in order to expand the application of dynamic inversion controller, the linear parameter varying (LPV) model of turboshaft engine is applied, which constitutes the LPV/DI controller together. The simulation results shows that compared with the conventional PID controller, the LPV/DI controller can effectively reduce the overshoot/droop of the power turbine speed to less than 1% under different flight conditions. The control effect is remarkable and the robust performance is superior.

关键词： dynamic inversion helicopter linear parameter varying model turboshaft engine variable rotor speed

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Advanced Control of DC Grid-Connected Proton Exchange Membrane Fuel Cell: A linear parameter varying Approach 4

Advanced Control of DC Grid-Connected Proton Exchange Membra...

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4th International Conference on Smart Energy Systems and Technologies (SEST)

作者： Afsharinejad, Amir Dehghani, Maryam Asemani, Mohammad H. Vafamand, Navid Javadi, Mohammad S. Wang, Fei Catalao, Joao P. S. Shiraz Univ Sch Elect & Comp Engn Shiraz Iran INESC TEC Porto Portugal North China Elect Power Univ Baoding Peoples R China FEUP Porto Portugal

ISBN: (纸本)9781728176604

In this paper, an advanced control of a DC Micro Grid (MG)-connected Proton Exchange Membrane (PEM) Fuel Cell connected with a DC/DC boost converter is addressed to achieve an overall appropriate control scheme in the power management system. In this context, a nonlinear PEM Fuel Cell stack, which is the main source of the continuous power to the load, is modelled and controlled by an optimal linear parameter varying (LPV) technique in the presence of uncertainties and variation in its operating parameters i.e. output current and temperature. To this end, a polytopic-LPV model is considered for nonlinear PEM Fuel Cell stack and sufficient conditions for designing a stabilizing continuous time LPV controller based on state feedback controlling law is derived in terms of linear Matrix Inequality (LMI). On the other hand, a feedback linearization controller is developed simultaneously to control the duty cycle of the DC/DC boost converter, which is connected between the PEM Fuel Cell stack and the load, aiming to regulate the DC output voltage of the grid to an arbitrary and predefined reference value. The performance of the proposed approach and controllers are verified through simulation results.

关键词： DC Micro Grid connected Proton Exchange Membrane Fuel Cell Converter control Optimal controller linear Matrix Inequality linear parameter varying model

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Aggressive maneuver oriented integrated fault-tolerant control of a 3-DOF helicopter with experimental validation

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AEROSPACE SCIENCE AND TECHNOLOGY 2022年第0期120卷 107265-107265页

作者： Peng, Huachao Wei, Lijiang Zhu, Xiaoyuan Xu, Wei Zhang, Shiyun Shanghai Maritime Univ Merchant Marine Coll Shanghai 201306 Peoples R China Southeast Univ Sch Mech Engn Nanjing 211189 Peoples R China Naval Logist Acad Dept Marine Replenishment Tianjin 300450 Peoples R China

In this paper, an integrated fault-tolerant control (FTC) strategy is proposed for unmanned helicopter system under aggressive maneuvers. In order to handle the effect of strong nonlinearities caused by large pitch angle, linear parameter varying (LPV) technique is adopted in the helicopter system modeling. Then, LPV model-based unknown input observer (UIO) design is conducted to simultaneously realize actuator faults and system state estimation, based on which an active fault-tolerant controlleris also constructed. Considering bi-directional robustness interactions between fault as well as state observer and active fault-tolerant controller, an integrated fault-tolerant controller design is further developed. Besides, actuator saturation is also considered in LPV modeling as well as integrated fault-tolerant controller design of the helicopter system. In order to guarantee the robust performance of proposed integrated fault tolerant controller design of helicopter system, energy-to-energy strategy is adopted. And the linear matrix inequality (LMI) toolbox is utilized for gain calculation. Finally, comparative experimental tests are carried out to show the effectiveness and advantages of the proposed FTC strategy. (C) 2021 Elsevier Masson SAS. All rights reserved.

关键词： Integrated fault-tolerant control Actuator saturation linear parameter varying model Unknown input observer 3-DOF helicopter

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LPV Gain-Scheduled Output-Feedback Tracking Control for PMSMs with Inexact Rotor Position Measurement 2

LPV Gain-Scheduled Output-Feedback Tracking Control for PMSM...

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2nd Conference on Fully Actuated System Theory and Applications (CFASTA)

作者： Che, Junxing Zhu, Yanzheng Zhou, Donghua Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao 266590 Peoples R China

ISBN: (纸本)9798350332162

In this paper, a novel gain-scheduled output-feedback (GSOF) controller is designed to address the rotor speed tracking issue for permanent magnet synchronous motors (PMSMs) with inexact rotor position measurement. The PMSMs speed tracking control issue is transformed to study the LPV system control design issue in nonlinear torque modulation without direct-quadrature transformation. By choosing the rotor position as scheduling parameters, a kind of LPV GSOF controller is proposed to stabilize the tracking error system. Affected by external disturbances or faults in the position sensors, exact values of rotor position may not be available for the design of LPV GSOF controller. By using the Lyapunov function approach, sufficient conditions with less conservatism are obtained with the line search, such that the corresponding error systems are globally uniformly exponentially stable and satisfy an upper bound of l(2)-gain performance indexes. Finally, the effectiveness and applicability of the developed approaches are validated via a class of PMSMs system.

关键词： Permanent magnet synchronous motors linear parameter varying model gain-scheduled output-feedback control inexact rotor position measurement

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Research on Intelligent LPV Control Method of Aeroengine 41

Research on Intelligent LPV Control Method of Aeroengine

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第41届中国控制会议

作者： Xinjie Qi Huihui Li Yixiao Song Shanghai Marine Equipment Research Institute Northwestern Polytechnical University School of Power and Energy

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The aeroengine is a very sophisticated and complex power machine with a very wide flight range and complex operating conditions.A single control strategy cannot guarantee good engine performance over a wide ***,the engine controller can be designed using linear parameter varying(LPV) control *** optimal LPV modelling strategy based on the gap metric theory and intelligent algorithm is *** optimisation objective is solved based on the Henry Gas Solubility Optimization algorithm,and an optimal multi-cell LPV model of the aeroengine is established based on the optimal benchmark steady-state *** model accuracy is improved while avoiding model *** linear matrix inequality(LMI) method is used to equivalently transform the controller synthesis problem into a convex optimization problem constrained by a set of LMI equations,and the controller design is completed by solving the *** simulation results show that the LPV model of an aeroengine is in good agreement with its non-linear model,and the designed controller has good robustness and control effect.

关键词： Aeroengine Gap metric theory Intelligent algorithm linear parameter varying model Robust control

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