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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Korobatov, D. Martyanov, A. Solomin, E. South Ural State Univ Chelyabinsk Russia

ISBN: (纸本)9781538643075

In this paper we compared the power transistor switching algorithms of electric energy converters. The algorithms of power keys switching proposed for minimizing the dimensions of filtering components and dynamic losses in switching components of a converter meeting at the same time the requirements for energy quality. We also described the circuit topology of a synchronous-vector rectifier (SVR) model. The proposed algorithms were modeled for the rectifier and inverter modes of operation using the LTSpice software circuit simulator. The obtained results are presented in the form of diagrams. The modeled algorithms provide the performance of functions of a synchronous-vector rectifier both in the rectifier and inverter modes of operation under very "modest" requirements for the parameters of filtering components.

关键词： power converters switching algorithms synchronous rectifier voltage invetrer power quality

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switching algorithms for extending battery life in Electric Vehicles

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JOURNAL OF POWER SOURCES 2013年 231卷 50-59页

作者： Adany, Ron Aurbach, Doron Kraus, Sarit Bar Ilan Univ Dept Comp Sci IL-52900 Ramat Gan Israel Bar Ilan Univ Dept Chem IL-52900 Ramat Gan Israel

The battery is a key component in any Electric Vehicle (EV) and its method of operation may have a tremendous effect on its life. In this paper we focus on improving the battery's life. Each battery is a pack of cells designed to be discharged and charged with specific optimal currents, whereby other currents, i.e. higher or lower than the optimal currents, may have negative effects on its life. We model these negative effects as penalties that are aggregate over time and propose a discharge method to minimize them. The common discharge method is very simple but far from optimal since the current demand is supplied using all the battery's cells where the current from each is the same. The method we propose is advanced switching algorithms that select a subset of the battery's cells for each current demand and control the discharge current from each, based on the electrochemical properties of the individual cells. We evaluate our proposed algorithms using simulations on world-wide driving cycles. The results reveal that compared to the common discharge method almost all penalties can be eliminated and the battery's life can be significantly extended. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Electric Vehicles (EV) switching algorithms Battery life Lithium ion batteries Battery Management System (BMS)

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switching Between Swarm Optimization algorithms During a Run: An Empirical Study

Switching Between Swarm Optimization Algorithms During a Run...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Etoeharnowo, Teddy Castelein, Koen Wang, Hao Back, Thomas Leiden Univ LIACS Leiden Netherlands

ISBN: (纸本)9781728124858

In this paper, it is proposed to switch between swarm optimization algorithms during the optimization process, aiming at combining the best performance from each single swarm optimization algorithm and hence improving the overall empirical performance. To investigate this switching scheme, an empirical study is carried on four swarm algorithms, Particle Swarm Optimization, Gravitational Search, Grey Wolf Optimizer and Chicken Swarm Optimization. All possible switches (combinations) among those four algorithms are tested. In addition, instead of searching for the best switching point, it is prescribed in the experiment. The proposed method is empirically investigated on the so-called Black-Box Optimization Benchmark (BBOB), where the switching method is compared to each individual swarm algorithm as well as using the state-of-the-art black-box optimization algorithm, BIPOP-CMA-ES (BI-population Covariance Matrix Adaptation Evolution Strategy). The result shows that the switching approach generally improves the performance of individual swarm algorithms. However, none of them can rival the performance of the BIPOP-CMA-ES.

关键词： swarm based optimization algorithms switching algorithms Particle Swarm Optimization Gravitational Search algorithm Grey Wolf Optimizer Chicken Swarm Optimization CMA-ES

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Railway collaborative ecodrive via dissension based switching nonlinear model predictive control

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EUROPEAN JOURNAL OF CONTROL 2019年 50卷 153-160页

作者： Farooqi, Hafsa Incremona, Gian Paolo Colaneri, Patrizio Politecn Milan Dipartimento Elettron Informaz & Bioingn Piazza Leonardo da Vinci 32 I-20133 Milan Italy IEEIT CNR Milan Italy

This paper deals with the design of a switched Nonlinear Model Predictive Controller (NMPC) for collaborative ecodrive control of railway vehicles. Relying on a discrete, switched and nonlinear model of the train, the NMPC optimizes the handle position while fulfilling constraints on velocity and journey time. Specifically, the optimizer provides a set of operating modes, which the human driver is able to implement to modulate traction or braking forces and such that the corresponding driving style is constrained by predefined driving sequences. At network level, a Dissension based Adaptive Law (DAL) is then proposed to adjust the parameters of the NMPC cost so as to efficiently share the available regenerated braking energy among the trains connected to the same substation, while negotiating between constraint satisfaction and control aggressiveness. The effectiveness of the proposed strategy is finally demonstrated on a realistic simulation case study. (C) 2019 European Control Association. Published by Elsevier Ltd. All rights reserved.

关键词： Train control Predictive control Nonlinear control systems switching algorithms

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Recursive identification of block-oriented nonlinear systems in the presence of outliers

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JOURNAL OF PROCESS CONTROL 2019年第0期78卷 1-12页

作者： Filipovic, Vojislav Univ Kragujevac Fac Mech & Civil Engn Dept Automat Control Robot & Fluid Tech Dositejeva 19 Kraljevo 36000 Serbia

The paper considers the recursive identification of nonlinear (Hammerstein) model in the presence of outliers. In this model the nonlinear part is a polynomial of a known order in the input and linear part is described as an ARX (auto - regressive model with exogenous inputs) model. It is assumed that there is a priori information about a disturbance distribution in the form of a class of distributions. Owing that fact it is possible to use robust statistics in the sense of Huber. But Huber's loss function is only first order differentiable. It follows that second order methods (Newton - Raphson methodology) cannot be used. The problem is avoided by analysis of the structure of least favourable distribution. It is shown that robust recursive algorithm derivation can be set in frame of l(1) - l(2) - norm estimation problem. The main contributions of the paper are: (i) it is shown that the robust identification belongs l(1) - l(2)-norm estimation problem: (ii) the derivation of the new robust recursive algorithm;(iii) it is shown that robust recursive algorithm is switching algorithm (collection of linear least squares and sign algorithm) and that fact opens the new research opportunities. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Hammerstein model Non-Gaussian noise Huber's theory Robust estimation switching algorithms

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switching-based Regulation of Uncertain Stable Linear Systems Affected by an Unknown Harmonic Disturbance 11

Switching-based Regulation of Uncertain Stable Linear System...

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8th International-Federation-of-Automatic-Control (IFAC) Symposium on Mechatronic Systems (MECHATRONICS) / 11th International-Federation-of-Automatic-Control (IFAC) Symposium on Nonlinear Control Systems (NOLCOS)

作者： Wang, Yang Serrani, Andrea Pin, Gilberto Parisini, Thomas Imperial Coll London Dept Elect & Elect Engn London England Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA Electrolux Italy SpA Porcia Italy Univ Trieste Dept Engn & Architecture Trieste Italy

The problem of rejection of a sinusoidal disturbance with unknown frequency acting on an unknown single-input-single-output stable linear system is addressed in this paper. We present a new hybrid approach that does not require knowledge of the frequency response of the transfer function over the range of frequencies of interest. The proposed controller reposes upon a switching strategy within a family of linear controllers based on the adaptive feedforward / internal model control methodology. A dead-beat frequency estimation method is integrated in the controller. The method also accounts for the presence of bounded sensor noise as well as imprecise frequency estimation. It is shown that, within a finite number of switchings, the regulation error is ultimately bounded by a function of the norm of the noise that depends on the choice of the controller and the estimator gains. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： output regulation disturbance rejection switching algorithms active noise control feedforward control

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Synchronization of Coupled Harmonic Oscillators by Time-Dependent Topology switching

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IFAC-PapersOnLine 2018年第23期51卷 402-407页

作者： Mao, Yanbing Akyol, Emrah Department of Electrical and Computer Engineering Binghamton University–SUNY BinghamtonNY13902 United States

This paper studies the approach of taking network topology as a control variable for the analysis of coupled harmonic oscillators. We particularly consider the setting where the local control inputs of individual oscillators are governed by their relative positions. Based on the known results in the theory of stability of switched linear systems, we propose a time-dependent topology-switching algorithm that enables the oscillators to asymptotically achieve synchronization. The main advantages of the proposed method, with respect to the prior work, are two-fold: we allow the coupling strength to be negative; and we do not constrain the magnitude of positive coupling strength. Simulation results are provided to verify the effectiveness of the algorithm. © 2018

关键词： Topology Harmonic analysis Linear systems Oscillators (mechanical) Synchronization Asymptotic synchronization Coupled harmonic oscillators Coupling strengths Dwell time Relative positions Switched linear system switching algorithms Time dependent

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switching-based Regulation of Uncertain Stable Linear Systems Affected by an Unknown Harmonic Disturbance

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IFAC-PapersOnLine 2019年第16期52卷 604-609页

作者： Yang Wang Andrea Serrani Gilberto Pin Thomas Parisini Dept. of Electrical and Electronic Engineering Imperial College London UK Dept. of Electrical and Computer Engineering The Ohio State University Columbus OH USA Electrolux Italia S.p.A Italy Dept. of Engineering and Architecture University of Trieste Italy

关键词： output regulation disturbance rejection switching algorithms active noise control feedforward control

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Collaborative Eco-Drive of Railway Vehicles via Switched Nonlinear Model Predictive Control⁎

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IFAC-PapersOnLine 2018年第30期51卷 626-631页

作者： Farooqi, Hafsa Incremona, Gian Paolo Colaneri, Patrizio Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Piazza Leonardo da Vinci 32 Milan20133 Italy

A switched Nonlinear Model Predictive Control (NMPC) strategy for time efficient energy control of railway vehicles, while fulfilling constraints on velocity, journey time and driving style in a collaborative fashion (collaborative eco-drive) is proposed. More specifically, the train dynamics are modeled as discrete, switched and nonlinear, while the optimization variable is the handle position which modulates the available traction/braking force and has to belong to a set of discrete values and/or operating modes, which the human driver is able to implement. Hence the aim is to choose the optimal handle position that minimizes the cost, is implementable by the driver and also fulfills the eco-driving objective, such that the driving style is constrained by predefined driving sequences. A supervisor detects the states of the trains and subsequently modifies the weights of the cost by negotiating between constraint satisfaction and control aggressiveness, in order to share the available regenerated braking energy among the connected trains in a substation network. The efficiency of the proposed switched NMPC strategy is demonstrated using realistic simulation case study. © 2016

关键词： Model predictive control Driver training Locomotives Nonlinear control systems Nonlinear systems Optimization Predictive control systems Railroads Constraint Satisfaction Nonlinear model predictive control Optimization variables Predictive control Realistic simulation Substation networks switching algorithms Train control

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Collaborative Eco-Drive of Railway Vehicles via Switched Nonlinear Model Predictive Control

Collaborative Eco-Drive of Railway Vehicles via Switched Non...

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18th International-Federation-of-Automatic-Control (IFAC) Conference on Technology, Culture and International Stability (TECIS)

作者： Farooqi, Hafsa Incremona, Gian Paolo Colaneri, Patrizio Politecn Milan Dipartimento Elettron Informaz & Bioingn Piazza Leonardo da Vinci 32 I-20133 Milan Italy

关键词： Train control predictive control nonlinear control systems switching algorithms

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