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第29届中国控制与决策会议

作者： Guoan Qin Xiaoru Luo Qihong Chen Liyan Zhang Wuhan University of Technology

ISBN: (纸本)9781509046584

This paper presents a method to design a predictive controller for a 50 kW three-phase grid-tied inverter.A discrete-time model of the inverter is built in which duty ratios are modeled as continuous control ***,introduce predictive control parameters P and M,and built a predictive model based on predictive controller parameters and discrete-time model.A cost function is employed as a criterion to optimize duty *** simulation results are provided to validate the feasibility and effectiveness of the proposed algorithm.

关键词： Three-phase Grid-Tied inverter predictive controller predictive control parameters

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predictive controller Design for a Matrix-Converter Based IPMSM Position Control System

Predictive Controller Design for a Matrix-Converter Based IP...

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27th IEEE International Symposium on Industrial Electronics (ISIE)

作者： Liu, Tian-Hua Mubarok, Muhammad Syahril Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781538637050

This paper proposes a matrix-converter based IPMSM position control system. The model-based predictive position-loop controller and the model-free predictive current-loop controller for an IPMSM are investigated to improve the dynamic responses, which include transient responses, load disturbance responses, and tracking responses. In addition, these two predictive controllers are easy to implement. Experimental results show the proposed drive system has better performance than with a PI controller. A 32-bit digital signal processor, TMS-320LF-2407A, is used to execute the predictive controllers for this matrix-converter IPMSM drive system.

关键词： matrix converter predictive controller IPMSM

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A data-driven predictive controller combined with the vector autoregressive with exogenous input model and the propagator estimation method for vehicle lateral stabilization

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2021年第1期235卷 94-116页

作者： Deng, Weishun Yang, Weimiao Zhang, Jianwu Feng, Pengpeng Yu, Fan Shanghai Jiao Tong Univ Sch Mech Engn State Key Lab Mech Syst & Vibrat 800 Dongchuan Rd Shanghai 200240 Peoples R China

A general predictive controller based on the subspace model identification method is proposed for vehicle stabilization. Traditional predictive controllers are always developed based on the principle model of vehicles, which inevitably suffers from parameter uncertainty and poor adaptability. In contrast to that, the proposed subspace-based general predictive controller is realized by a data-driven process and presents good adaptability in vehicle stability control. Inspired by subspace-based predictor construction, the keys of the predictive controller are as follows: (1) system model identification according to the model structure of the control object by input and output data;(2) output prediction of the system by the identified model;and (3) optimal control law designed by combining the linear-quadratic-Gaussian index with the predictive output. The main problem in the controller development lies in the recursive estimation of relevant matrices, which is limited by the subspace model identification theory. The implementation of the vector autoregressive with exogenous input model and the propagator method in subspace identification algorithm effectively solves the problem of estimation accuracy and calculation efficiency. Combined with a linear-quadratic-Gaussian index function, the predictive law for vehicle stability control is derived in detail. Finally, based on the vehicle model validated by standard road test, the effectiveness and robustness of the predictive controller are proved through the numerical simulations of various maneuvers under different road adhesive conditions.

关键词： Subspace predictor vector autoregressive with exogenous input model propagator method data-driven predictive controller vehicle stability control

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NETWORKED OUTPUT FEEDBACK ROBUST predictive controller DESIGN

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2013年第10期9卷 3941-3953页

作者： Vesely, Vojtech Rosinova, Danica Thuan Nguyen Quang Slovak Univ Technol Bratislava URPI Fac Elect Engn & IT Vazovova 5 Bratislava 81243 Slovakia

This paper studies the problem of robust networked static output feedback model predictive controller design that stabilizes uncertain system with guaranteed cost and Parameter-Dependent Quadratic Stability (PDQS). The upper bound on the time delay is assumed to be bigger than sampling time. Control design is based on sufficient robust stability condition formulated as a solution of bilinear matrix inequality BMI. The example illustrates the viability of the proposed output feedback design method.

关键词： Robust control Network systems predictive controller Polytopic systems Lyapunov-Krasovskii functional Guaranteed cost

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Dropout feedback parametrized policies for stochastic predictive controller

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IFAC-PapersOnLine 2016年第18期49卷 59-64页

作者： Mishra, Prabhat K. Quevedo, Daniel E. Chatterjee, Debasish Systems & Control Engineering Indian Institute of Technology Bombay India Paderborn University Germany

This article presents a novel control policy class for the networked control of linear dynamical systems with bounded inputs. The control channel is assumed to have i.i.d. Bernoulli packet dropouts. Our proposed class of policies is parametrized relative to the past dropouts. We show how to augment the underlying optimization problem with a constant negative drift constraint in order to ensure mean-square boundedness of the closed-loop states. The resulting convex quadratic program can be solved periodically online. The states of the closed loop plant under the receding horizon implementation of the proposed class of policies are mean square bounded for any positive bound on the control. © 2016

关键词： Networked control systems Dynamical systems Feedback Linear control systems Mobile telecommunication systems Model predictive control Quadratic programming Stochastic control systems Stochastic models Stochastic systems Erasure channels Linear dynamical systems Multiplicative noise Networked systems Optimization problems predictive controller Quadratic programs Unreliable channels

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Robust output feedback predictive controller with adaptive invariant tubes and observer gains

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INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL 2021年第2期9卷 755-765页

作者： Vilaivannaporn, Withawin Boonsith, Suthida Pornputtapitak, Warangkana Bumroongsri, Pornchai Mahidol Univ Fac Engn Dept Chem Engn Nakhon Pathom 73170 Thailand

This work aims to develop a robust output feedback predictive controller that can guarantee the recursive feasibility and the system stability as the invariant tubes and the observer gains can be updated at each sampling time. The recursive feasibility is guaranteed by using the invariant tubes with non-increasing size so the satisfactions of more tightened constraints ensure the satisfactions of less tightened constraints as time proceeds. The system stability is guaranteed by bounding the control error and the estimation error using the invariant tubes that can be updated at each sampling time. The online computational complexity can be reduced as the invariant tubes and the observer gains can be updated at each sampling time. This can be done by computing offline the invariant tubes for the estimation error, the invariant tubes for the control error and the observer gains. The smallest invariant tube containing the estimation error is determined at each sampling time and the corresponding observer gain is chosen as the real-time observer gain. The proposed algorithm can reduce the online computational complexity as compared with the case when the invariant tubes and the observer gains are computed online while the same level of control performance is obtained. In addition, the proposed algorithm can improve the control performance as compared with the case when the invariant tubes and the observer gains are constant.

关键词： predictive controller Output feedback Invariant tubes Observer gains Robust stability

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Novel programmable logic controller implementation of a predictive controller based on Laguerre functions and multiparametric solutions

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IET CONTROL THEORY AND APPLICATIONS 2012年第8期6卷 1003-1014页

作者： Valencia-Palomo, G. Rossiter, J. A. Inst Tecnol Hermosillo Hermosillo 83170 Sonora Mexico Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England

This study presents a novel programmable logic controller (PLC) implementation of a constrained predictive control (MPC) algorithm based on Laguerre functions and multi-parametric quadratic programming (mp-QP). First, the study shows how Laguerre functions can be used in conjunction with mp-QP to achieve a large decrease in both the online computations and data storage requirements while increasing the feasible region of the optimisation problem for MPC;extensive simulation results are given to back this claim. Next, the study shows how the algorithm can be embedded on an industrial PLC using the IEC 61131-3 programming standard. A laboratory test was carried out to demonstrate the code on real hardware.

关键词： predictive controller Optimisation techniques data storage requirements novel programmable logic controller implementation constrained predictive control algorithm online computations multiparametric quadratic programming mp-QP MPC programmable controllers industrial PLC quadratic programming Laguerre functions predictive control Programmable controllers IEC 61131-3 programming standard Optimal control optimisation problem

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True average current predictive controller for four-wire PWM reversible rectifiers

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IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS 1997年第6期144卷 397-400页

作者： Fraser, ME Manning, CD Loughborough Univ Technol Dept Elect & Elect Engn Loughborough LE11 3TU Leics England

A proposed predictive controller suitable for four-wire boost rectifiers is described. The predictive controller regulates the rectifier line currents and includes a method of providing true average current mode control. The performance of the rectifier is demonstrated using simulation results for an 80 kVA rated converter switching at 15 kHz. Practical requirements for the controller are discussed.

关键词： predictive controller rectifier line currents reversible rectifiers

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Constrained predictive controller Design Based on Fuel Exhaustion and Thermal Constraints of A 5 kW SOFC Stack

Constrained Predictive Controller Design Based on Fuel Exhau...

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Chinese Automation Congress (CAC)

作者： Zhang, Lin Xie, Hongtu Wang, Feng Xie, Chao Tang, Wenhui Fang, Qunle Xie, Ni Wang, Guoqian Air Force Early Warning Acad Wuhan 430019 Peoples R China Sun Yat Sen Univ Sch Elect & Commun Engn Guangzhou 510275 Peoples R China Wuhan Univ Sci & Technol Engn Res Ctr Met Automat & Measurement Technol Minist Educ Wuhan 430081 Peoples R China Hunan Univ Sci & Technol Sch Business Xiangtan 411201 Peoples R China Sun Yat Sen Univ Sun Yat Sen Mem Hosp Guangzhou 510120 Peoples R China

ISBN: (纸本)9781728176871

Considering two temperature layers model of 5 kW SOFC (solid oxide fuel cell) stack not only dramatically reduces complexity of the model, but also shows the higher precision, which should be preferred in the controller design. Taylor series for the model are adopted, and then based on the static output power point, the constrained predictive controller is designed considering the fuel exhaustion and thermal constraints. The temperature and its gradient, output power, and fuel exhaustion are emphatically analyzed, which can ensure the fast power tracking and thermal safety simultaneously. Besides, the control standards of the fuel exhaustion show more rigorous compared to operating safety, which is comprehensively considered during controller design. The result shows that although power tracking process accelerated with the increase of the current regulation rate, the risk coefficient of the operating safety is increasing too.

关键词： fuel exhaustion predictive controller solid oxide uel stack two temperature layers model thermal constraints

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A Digital predictive controller for a SEPIC-Based Battery Charger in Photovoltaic Power Systems 4

A Digital Predictive Controller for a SEPIC-Based Battery Ch...

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4th International Electromagnetic Compatibility Conference (EMC Turkiye)

作者： Dadashzadeh, Hoda Khosroshahi, Alireza Eyvazizadeh Hosseini, Seyed Hossein Univ Tabriz Dept Elect & Comp Engn Tabriz Iran

ISBN: (纸本)9781509048205

This paper presents the optimal controller design for an improved battery charger structure which can be supplied from a photovoltaic power system. The transfer characteristic of the presented converter is the same as a buck/boost converter. Therefore, even in extreme conditions, the presented converter has the ability to extract the maximum power from the photovoltaic power system and charge the battery efficiently. Other advantages of the presented converter such as continuous smooth input current also make it suitable for photovoltaic generation systems. The presented converter consists of two charging modes which develop the efficiency of charging;pulsating output current and constant voltage. A predictive controller is designed for the presented converter which assures the optimal operation of the system. The controller chooses the best operating conditions for the photovoltaic power system. Simulation results are provided to validate the proper operation of the controller.

关键词： DC/DC converters predictive controller battery chargers photovoltaic power systems

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