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Data-driven tuning using only one-shot control signal and initial controller parameters

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2021年第10期16卷 1414-1419页

作者： Suzuki, Motoya Ikezaki, Taichi Kaneko, Osamu Isuzu Adv Engn Ctr Ltd Isuzu Kanagawa Japan Univ Elect Commun Grad Sch Informat & Engn Tokyo Japan

New parameter-tuning methods, called data-driven tuning, have been proposed, which can derive the controller parameters without using plant models. These include iterative feedback tuning (IFT), virtual reference feedback tuning (VRFT), and fictious reference iterative tuning (FRIT). In this study, a simple data-driven tuning method is proposed. Through closed-loop experiments, one-shot input data and the initial controller parameters are obtained, based on which the control system is tuned. The tuned control system can realize a high tracking performance, and the desired response can be obtained. Furthermore, the validity of the proposed method is investigated through numerical simulation and experiments, which establish that the control performance is improved by the proposed parameter-tuning method. The proposed method can obtain appropriate controller parameters. (c) 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

关键词： control system design data-driven design parameter-tuning

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Hybrid control of Flying Capacitor Converter Based Shunt Active Power Filter for Photovoltaic systems Interconnection 14th

Hybrid Control of Flying Capacitor Converter Based Shunt Act...

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14th IFAC Workshop on Adaptive and Learning control systems (ALCOS)

作者： Aourir, M. Abouloifa, A. Aouadi, C. El Otmani, F. Lachkar, I Noussi, K. Katir, H. Hassan II Univ ESE Lab ENSEM Casablanca BP 8118 Casablanca Morocco

This work deals with the hybrid control of grid-connected photovoltaic (PV) systems with the ability of active power filtering in the highly distorted power grid. The used interfacing system consists of a multilevel topology that provides better performances in terms of power quality improvement compared to the two-level counterpart, especially for single-stage PV systems. The proposed control process consists of a cascaded structure to deal with the following objectives: (i) extract the maximum power from the PV panels despite the climate changes, (ii) equal sharing of the input voltage over the power switching devices, (iii) satisfactory compensation of harmonic currents and reactive power. To meet these objectives, two cascaded loops are designed, an outer voltage loop based on a PI regulator for PV panels voltage regulation and an inner loop developed using a hybrid automaton to deal with power factor correction (PFC) and flying capacitors voltage balancing. The investigated system is simulated using Matlab/Simpowersystems environment and Stateflow toolbox, the obtained results prove the good performance of the proposed control approach. Copyright (C) 2022 The Authors.

关键词： Photovoltaic systems Multilevel inverter Hybrid systems Modeling and simulation of power systems control system design

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AVR Fractional-Order controller Based on Caputo-Fabrizio Fractional Derivatives and Integral Operators

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ENERGIES 2024年第23期17卷 5913页

作者： Lozynskyy, Andriy Kozyra, Jacek Kutsyk, Andriy Lukasik, Zbigniew Kusminska-Fijalkowska, Aldona Kasha, Lidiia Lishchuk, Andriy Casimir Pulaski Radom Univ Fac Transport Elect Engn & Comp Sci PL-26600 Radom Poland Lviv Polytech Natl Univ Inst Power Engn & Control Syst Lvov Ukraine Rzeszow Univ Technol Fac Elect & Comp Engn PL-35959 Rzeszow Poland

The application of a fractional-order controller (FOC) using the Caputo-Fabrizio representation in the automatic voltage regulation (AVR) system of a synchronous generator is shown in this paper. The mathematical model of the system is created and the adequacy of the model is confirmed. The efficiency of the proposed regulator in different operating regimes is demonstrated. In particular, the proposed controller improves voltage regulation in a wide range of changes in the coordinates that characterize the power system operation mode, and it increases the system's robustness to both uncertainties and nonlinearities that often occur in power systems. The synthesized fractional-order regulator provides higher response and control accuracy compared to traditional regulators used in automatic voltage regulation (AVR) systems.

关键词： synchronous generator automatic voltage regulation small modular reactor fractional-order controller control system design stability analysis robust control

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Adaptive PMSM control of Ship Electric Propulsion with Energy-Saving Features

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ENERGIES 2024年第9期17卷 2178页

作者： Zwierzewicz, Zenon Tarnapowicz, Dariusz Nerc, Arkadiusz Maritime Univ Szczecin Fac Mechatron & Elect Engn Willowa 2 PL-71650 Szczecin Poland

Electric ship propulsion is considered one of the most promising alternatives to conventional combustion systems. Its goal is to reduce the carbon footprint and increase a ship's maneuverability, operational safety, and reliability. The high requirements for ship propulsion make permanent magnet synchronous motors (PMSMs) an attractive solution due to their characteristics. This paper discusses the control problem of a PMSM based on the input-output feedback linearization method combined with the optimal and adaptive control techniques. The method presented here integrates the parameter tuning process with the optimal design of the baseline controller. Since the load disturbances are treated as an additional unknown parameter, there is no need to introduce an integral action to deal with the resulting steady-state error. An important feature of the designed controller is the so-called energetic optimization of the system;i.e., in addition to the aforementioned adaptive and optimal controller, it has a feature of ensuring zero reactive power consumed by the system. The performed simulations of the machine speed stabilization process confirmed the high efficiency of the proposed controller despite the assumed uncertainty of the system parameters and environmental (load) disturbances. Besides achieving high-quality control, an essential feature of this approach is the elimination of the tuning problem.

关键词： PMSM control system design adaptive control optimal control energy efficiency

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Comprehensive study of parking houses for smart cities 17th

Comprehensive study of parking houses for smart cities

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17th IFAC Conference on Programmable Devices and Embedded systems (PDES)

作者： Slanina, Zdenek VSB Tech Univ Ostrava Ostrava Czech Republic

This article discusses the results of a comprehensive study of a new generation of parking houses. First of all, the basic components of a new generation of automatic parking system (APS) in line with the Industry 4.0 concept are described, where automated guided vehicles (AGVs) and a lift system can be used to park pallet loaded cars. The APS is equipped with a hybrid power supply using renewable energy sources support and storage, including a system for self-charging electric vehicles. The building structure will be designed to allow for the elimination of dust particles and additional stormwater management. Functionality has been tested on a scale model of approximately 1:10 to minimise operational times, particularly for vehicle parking.

关键词： Autonomous robotic systems Smart grids control system design Modeling supervision control diagnosis of automotive systems

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Scalable Model Predictive control for Autonomous Mobility-on-Demand systems

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IEEE TRANSACTIONS ON control systemS TECHNOLOGY 2021年第2期29卷 635-644页

作者： Carron, Andrea Seccamonte, Francesco Ruch, Claudio Frazzoli, Emilio Zeilinger, Melanie N. Swiss Fed Inst Technol Inst Dynam Syst & Control CH-8092 Zurich Switzerland

Technological advances in self-driving vehicles will soon enable the implementation of large-scale mobility-on-demand (MoD) systems. The efficient management of fleets of vehicles remains a key challenge, in particular to achieve a demand-aligned distribution of available vehicles, commonly referred to as rebalancing. In this article, we present a discrete-time model of an autonomous MoD system, in which unit capacity self-driving vehicles serve transportation requests consisting of a (time, origin, destination) tuple on a directed graph. Time delays in the discrete-time model are approximated as first-order lag elements yielding a sparse model suitable for model predictive control (MPC). The well-posedness of the model is demonstrated, and a characterization of its equilibrium points is given. Furthermore, we show the stabilizability of the model and propose an MPC scheme that, due to the sparsity of the model, can be applied even to large-scale cities. We verify the performance of the scheme in a multiagent transport simulation and demonstrate that service levels outperform those of the existing rebalancing schemes for identical fleet sizes.

关键词： Urban areas Predictive control Predictive models Bicycles Computational modeling Optimization Autonomous vehicles control system design distributed control large-scale systems model-based control predictive control transportation control

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A Comparative Analysis Between Proposed Neuro-fuzzy, Fuzzy, and Heuristic-Neuro-fuzzy controller for Autonomous Vehicle Parking in the Dynamic Environment

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SN Computer Science 2022年第6期3卷 487页

作者： Nakrani, Naitik M. Joshi, Maulin M. EC Department Uka Tarsadia University Surat India EC Department Sarvajanik University Surat India

The single-stage control is generally used to solve the autonomous parking system for dynamic environment. Sometimes, environment provides conflicting information to sensors where the single control mechanism may not be able to take prompt action. This situation causes a multiple-choice overload problem in which a single-stage system becomes confused when many decisions can be true, which can lead to collision in exceptional situations. This paper proposes a multi-stage neuro-fuzzy architecture for autonomous parallel parking in the unknown and dynamic environment. It generates an obstacle avoidance capability for the vehicle during the parking process. The multiple-choice overload problem is addressed, and a possible solution is provided by aiding a trained neural network as a pre-controller to the main fuzzy controller. The simulations results in the presence of static and moving obstacle are provided and compared with the earlier methods to prove the validity of the proposed architecture. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Autonomous parallel parking control system design Dynamic environment Neuro-fuzzy

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An Open-Source Power system Simulation Toolchain for Teaching, Research, and Industrial Use

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IFAC-PapersOnLine 2024年第13期58卷 219-226页

作者： Andrea Bartolini Francesco Casella Massimo Ceraolo Marco Chiaramello Adrien Guironnet Joy El Feghali Dynamica s.r.l. Cremona Italy Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano 20133 Milano Italy Department of Energy Systems Territory and Constructions Engineering University of Pisa 56122 Pisa Italy Reseau de Transport d’Electricité 92073 Paris France

This paper describes a fully open-source toolchain for the modelling and simulation of phasor-based, balanced 3-phase AC system models, based on the OpenModelica compiler, the PowerGrids 2.0.0 Modelica library, and the open-source solvers IDA, Kinsol, and KLU. The toolchain includes a graphical user interface for model editing and result visualization. A notable feature is the automatic generation and solution of the initial static power flow, which provides good initial guess values for the steady-state initialization of the dynamic model, ensuring robust initialization; this feature can be disabled, and the results of external power flow tools can be used instead. The toolchain currently handles models with up to about 100 buses, making it attractive for teaching and research use, but is planned to be able to handle models with thousands of buses in the near future. This will be achieved thanks to new code generation features currently under development in OpenModelica and will open the way to industrial use.

关键词： Modelling simulation of power systems Power system stability Smart grids control system design

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Robust Implementation of the Model Predictive control for DC-DC Power Converters and Industrial control Applications

Robust Implementation of the Model Predictive Control for DC...

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作者： Albira, Mohamed Emhemed Oakland University

学位级别：Ph.D., Doctor of Philosophy

This dissertation addresses the development of the robustness and strength of the Model Predictive control algorithm subjected to input constraints for a plant system with and without parameters' uncertainties. In the beginning, the MPC control system was implemented for systems with no types of parameters' uncertainties. The proposed system models were stable and linear and all of its parameters were fully known. They were formulated in model state-space system format. The main objective of this control system design was to maintain a smooth and constant output signal that could easily track the assigned desired output signal. The technical process of this control design was to calculate the optimal solutions for the proposed plant system by optimizing the Quadratic programming problem (QP) subjected to linear inequality constraints. Therefore, the proposed control system successfully forced the outputs of the proposed systems to track the output reference signals in a fast response and with very small steady-state errors, even with the change in prediction horizon values. The second control system approach was for a system model which assumed its parameters’ uncertainties. In the other words, the parameters were not precisely known, but they were bounded in a minimum and maximum range. The parameters' uncertainties and the converter's switching behaviors made it act as a highly nonlinear system. Therefore, the Adaptive Model Predictive controller (AMPC) with the Linear Parameter Varying (LPV) control algorithm was implemented to address these issues and to secure a sustainable output signal with on types of noise or degradations. In this algorithm, the LPV model was created out of a set of Linear Time-Invariant (LTI) models, which are used to update the AMPC controller based on the feedback signals that come from the plant model and the change in the system parameters. Due to the changes in the plant model parameters over time, the AMPC was the perfect control app

关键词： Adaptive model predictive control Buck boost buck-boost converters control system design Dc-dc power electronics Linear model predictive control Linear parameter varying

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Evaluating the effect of control gains on wind turbine drive-train deterioration: An experimental study

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IFAC-PapersOnLine 2024年第4期58卷 616-621页

作者： Elena Romero Fandiño John J. Martinez Jonathan Dumon Christophe Bérenguer Univ. Grenoble Alpes CNRS Grenoble INP GIPSA-Lab 38000 Grenoble France

In this paper we present experimental results concerning the impact of the chosen torque control gain on the deterioration of the drive-train in wind turbines. Here the deterioration is considered to be produced by the mechanical stress, on the drive-train, and it is measured as the dissipated power at this level. The wind turbine is assumed to be controlled, into the variable-speed region, by using the optimal torque control method, commonly used for maximum power tracking. In this work, we present and discuss the obtained results of produced energy and dissipated one (at the drive-train level), for different choices of the torque control gain under the presence of high turbulence intensity of the wind speed. The tests have been performed in simulation by using real wind-speed data and by a combined simulated drive-train and a real mini wind turbine available at GIPSA-lab.

关键词： control of renewable energy resources wind turbine control system deterioration deterioration-aware control control system design

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