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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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Design of infinite horizon LQR controller for discrete delay systems in satellite orbit control: A predictive controller and reduction method approach

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HELIYON 2024年第2期10卷 e24265页

作者： Khosravi, Mohsen Azarinfar, Hossein Sabzevari, Kiomars Univ Gonabad Gonabad Iran Tech & Vocat Univ TVU Dept Elect Engn Tehran Iran

In the realm of satellite orbit control, powerful controller design plays a pivotal role in minimizing fuel consumption and ensuring orbit stability. This article introduces an advanced approach to the design of a Linear Quadratic Regulator (LQR) controller with an infinite horizon, tailored for discrete delay systems. The proposed methodology integrates predictive control with a reduction method, aiming for optimality while addressing performance and system constraints. Formulating the control problem as a quadratic program, the predictive control method generates a sequence of control inputs using a reducing horizon strategy. Stability analysis, employing Lyapunov-Krasovsky functions and linear matrix inequalities, yields delay-independent conditions for exponential convergence. A numerical example showcases the controller's effectiveness in maintaining orbit and reducing fuel consumption, underlining its capacity to achieve control objectives despite uncertainties and time delays. This research contributes to robust control strategies in satellite orbit systems, enhancing control performance and operational efficiency.

关键词： Satellite orbit control LQR controller Infinite horizon Discrete delay systems predictive controller Reduction method

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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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Advanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities

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JOURNAL OF PROCESS CONTROL 2024年 135卷

作者： Schutz, Deniver R. V. Mercaldi, Heitor Penaloza, Elmer A. G. Silva, Lucas J. R. Oliveira, Vilma A. Cruvinel, Paulo E. Univ Sao Paulo Dept Elect & Comp Engn Sao Carlos SP Brazil Brazilian Agr Res Corp Embrapa Instrumentat Sao Carlos SP Brazil Univ Fed Sao Carlos Dept Elect Engn Sao Carlos SP Brazil Univ Fed Pelotas Engn Ctr Dept Control & Automat Engn Pelotas RS Brazil

Variable rate application of pesticides in agriculture can improve pest control and also increase food production. Nevertheless, incorrect spraying poses risks to the environment and human health, as well as may increase the total cost of production. Nowadays, it is quite known the importance of innovation in techniques and technologies to improve the spraying process in a variable rate application for pest control. This work presents a generalized predictive control (GPC) strategy to cope with nonlinearities. An extension of the stability analysis for constrained GPC controller for infinite horizons is also developed, which guarantees the stability of a fuzzy GPC for a limited variation of its tuning parameters �� and ��. Results show the usefulness in adding a fuzzy logic system, to cope with nonlinearities, leading to a conception of an advanced fuzzy GPC for a limited variation of its tuning parameters.

关键词： Nonlinearity predictive controller Fuzzy control Precision agriculture Sprayer Flow rate

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Presenting an effective and easy method for designing and tuning predictive controller for boost and buck-boost converters in Continuous Conduction Mode

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CONTROL ENGINEERING PRACTICE 2021年 114卷 104882-104882页

作者： Anzehaee, Mohammad Mousavi A. Hajihosseini, Payman Behnam, Behzad Islamic Azad Univ Dept Elect Engn South Tehran Branch Tehran Iran Islamic Azad Univ Karaj Branch Dept Elect Engn Alborz Iran

The main goal of this research is to introduce an easy algorithm for designing and tuning the model-based predictive controller in the ARMarkov-PFC Plus PID (APP) controller to control boost converter, which has been previously presented by the authors of this paper. The proposed algorithm was more straightforward than the previous one and does not need the predictive model. Simulation results confirmed their performance was very close to each other. Meanwhile, APP controller - tuned by the new method - was used to control buck-boost converter in this research. Simulation and experimental results proved the efficiency of the new presented method.

关键词： Voltage Mode Control predictive controller Buck-boost converter Boost converter ARMarkov-PFC Plus PID (APP)

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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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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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predictive controller Design and Simulation for a 50kW Three-phase Grid-Tied Inverter 29

Predictive Controller Design and Simulation for a 50kW Three...

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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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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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Auto-tuning Flux-weakening Control for an IPMSM Drive System Using a predictive controller 26

Auto-tuning Flux-weakening Control for an IPMSM Drive System...

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26th IEEE International Symposium on Industrial Electronics (ISIE)

作者： Liu, Tian-Hua Tseng, Shao-Kai Lu, Mao-Bin Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781509014125

This paper proposes an auto-tuning flux-weakening control for an IPMSM drive system. A predictive controller is implemented to enhance the dynamic responses of the proposed drive system, which yields improved overall transient responses, superior load responses, and good tracking responses. In addition, an on-line, auto-tuning flux-weakening control is implemented to control the IPMSM drive system in a wide adjustable speed range, from 3 r/min up to 2700 r/min. A 32-bit digital signal processor, TMS-320F-28335, is used to execute the predictive controller and the flux-weakening control algorithm for the IPMSM drive system. Experimental results can validate the theoretical analysis.

关键词： predictive controller auto-tuning flux-weakening control IPMSM

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