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44th Annual Conference of the IEEE Industrial-Electronics-Society (IECON)

作者： Rossi, Mattia Piegari, Luigi Castelli-Dezza, Francesco Mauri, Marco Carmeli, Maria Stefania Politecn Milan Pzza Leonardo da Vinci 32 I-20132 Milan Italy

ISBN: (纸本)9781509066841

Multilevel converters are used to improve the traction converter of modern electric vehicles (EV). Such topologies can be applied even to low-power converter such as dc-dc auxiliary converters, to improve the EV overall efficiency. The low voltage rating of auxiliary circuits implies the usage of low-cost hardware both for power as well for control platforms. A cost-effective explicit model predictive control (eMPC) is designed for a three-level neutral point clamped step-down dc-dc auxiliary converter and compared to an eMPC for a two-level solution. Both eMPCs are compared to a classical PI-type voltage control.

关键词： electric vehicles dc-dc converter explicit model predictive control multilevel converter

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Linear Machine Solution to Point Location Problem

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IEEE TRANSACTIONS ON AUTOMATIC control 2017年第3期62卷 1403-1410页

作者： Airan, Astha Bhushan, Mani Bhartiya, Sharad Indian Inst Technol Dept Chem Engn Mumbai 400076 Maharashtra India

Linear machine has been recently proposed as an elegant solution for solving the point location problem arising in multi-parametric programming (mp-P) based online optimization. Linearmachine associates a linear discriminant function with each polytopic region in the parametric space. The solution to the point location problem is then obtained by simply evaluating these discriminant functions and finding their maximum value. In this technical note, we rigorously establish the correctness of the linear machine generation procedure and identify a necessary condition for existence of linear machine. A modified procedure, involving systematic subdivision of the parametric space, is proposed when this condition is not satisfied. Analysis of complexity and storage requirements, along with computational experiments on a large sized example, indicate that linear machine can be an efficient tool for solving the point location problem.

关键词： Discriminant functions explicit model predictive control multi-parametric programming online optimization

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control-relevant parameter estimation application to a model-based PHEV power management system

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OPTIMAL control APPLICATIONS & METHODS 2017年第6期38卷 1148-1167页

作者： Taghavipour, Amir Masoudi, Ramin Azad, Nasser L. McPhee, John KN Toosi Univ Technol Mech Engn Dept Tehran Iran Amer Univ Dubai Mech Engn Dept Dubai U Arab Emirates Univ Waterloo Syst Design Engn Dept Waterloo ON Canada

explicit model predictive control approach is a promising approach to fulfill automotive real-time controls requirements. A key factor in the performance and real-time capabilities of a predictive model-based controller is the accuracy of the control-oriented model. The control-oriented model should capture the essential dynamics of the real plant and be adequately simple to make the controller implementable on a commercial hardware with limited memory and computational capabilities. In this study, control-relevant parameter estimation is used to find a control-oriented model for a real-time predictive power management system for a plug-in hybrid powertrain. Simulations, which are conducted using an equation-based model of the powertrain, demonstrate a significant improvement of the power management system performance by improving the control-oriented model with no effect on real-time capabilities of the controller.

关键词： automotive powertrain control-relevant parameter estimation explicit model predictive control plug-in hybrid electric vehicle power management system

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Design and implementation of parameterized adaptive cruise control: An explicit model predictive control approach

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control ENGINEERING PRACTICE 2010年第8期18卷 882-892页

作者： Naus, G. J. L. Ploeg, J. Van de Molengraft, M. J. G. Heemels, W. P. M. H. Steinbuch, M. Eindhoven Univ Technol Control Syst Technol Grp NL-5600 MB Eindhoven Netherlands TNO Automot ADA NL-5708 HN Helmond Netherlands

The combination of different characteristics and situation-dependent behavior cause the design of adaptive cruise control (ACC) systems to be time consuming. This paper presents a systematic approach for the design of a parameterized ACC, based on explicit model predictive control. A unique feature of the synthesized ACC is its parameterization in terms of key characteristics, which, after the parameterization, makes it easy and intuitive to tune, even for the driver. The effectiveness of the design approach is demonstrated using simulations for relevant traffic scenarios, including Stop-&-Go. On-the-road experiments show the proper functioning of the synthesized ACC. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Adaptive cruise control Parameterization Stop-&-Go explicit model predictive control Quadratic programming

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PID-explicit predictive Dual Mode control for Double-Water Tank

PID-Explicit Predictive Dual Mode Control for Double-Water T...

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第30届中国控制与决策会议

作者： Guannan Xiao Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University

A PID-explicit model predictive control(EMPC) based on dual mode strategy is developed in this paper to deal with nonlinear processes. The basic algorithm of EMPC decomposes the controller optimization problem into two steps: offline calculate and online search, which can decrease the online calculation and obtain the explicit function of control law in every state. It is convenient for controller analyzing. The traditional linearization-based nonlinear system control depends on pre-established operating point. By the idea of dual mode control, this paper adopts PID controller for nonlinear area while combining explicit model predictive control for linear area. The proposed algorithm is simulated on a double-water tank, which can decrease calculation time and have a satisfying performance.

关键词： explicit model predictive control PID Dual Mode control

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A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles

A Multiobjective MPC Approach for Autonomously Driven Electr...

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20th World Congress of the International-Federation-of-Automatic-control (IFAC)

作者： Peitz, Sebastian Schaefer, Kai Ober-Bloebaum, Sina Eckstein, Julian Koehler, Ulrich Dellnitz, Michael Paderborn Univ Dept Math Warburger Str 100 D-33098 Paderborn Germany Univ Oxford Dept Engn Sci Parks Rd Oxford OXI 3PJ England Hella KGaA Hueck & Co Beckumer Str 130 D-59552 Lippstadt Germany

We present a new algorithm for model predictive control of non-linear systems with respect to multiple, conflicting objectives. The idea is to provide a possibility to change the objective in real-time, e.g. as a reaction to changes in the environment or the system state itself. The algorithm utilises elements from various well-established concepts, namely multiobjective optimal control, economic as well as explicit model predictive control and motion planning with motion primitives. In order to realise real-time applicability, we split the computation into an online and an offline phase and we utilise symmetries in the open-loop optimal control problem to reduce the number of multiobjective optimal control problems that need to be solved in the offline phase. The results are illustrated using the example of an electric vehicle where the longitudinal dynamics are controlled with respect to the concurrent objectives arrival time and energy consumption. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： model predictive control explicit model predictive control Multiobjective optimisation Motion planning Electric vehicles

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Complexity reduction in motion cueing algorithm for the ULTIMATE driving simulator

Complexity reduction in motion cueing algorithm for the ULTI...

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20th World Congress of the International-Federation-of-Automatic-control (IFAC)

作者： Munir, Sarmad Hovd, Morten Fang, Zhou Olaru, Sorin Kemeny, Andras Norwegian Univ Sci & Technol Engn Cybernet Dept N-7491 Trondheim Norway Virtual Real & Immers Simulat Ctr RENAULT Paris France Supelec Automat Control Dept 3 Rue Joliot Curie F-91192 Gif Sur Yvette France

The performance of a driving simulator depends on the efficiency of the embedded motion cueing algorithm. An explicit model predictive control was established recently as a pertinent design framework for the motion cueing algorithm. The complexity of the explicit solution increases manifold when the human vestibular model is considered. The present paper focuses on the complexity reduction of explicit solution using low complexity contractive sets for the motion cueing algorithm. The low-complexity explicit controller is formulated for the efficient control of the motion cueing system for the ULTIMATE driving simulator available in Renault. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Motion cueing algorithm explicit model predictive control Complexity reduction Driving simulator Contractive set low complexity contractive sets

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A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles

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IFAC-PapersOnLine 2017年第1期50卷 8674-8679页

作者： Peitz S. Schäfer K. Ober-Blöbaum S. Eckstein J. Köhler U. Dellnitz M. Department of Mathematics Paderborn University Warburger Str. 100 Paderborn 33098 Germany Department of Engineering Science University of Oxford Parks Road Oxford OXI 3PJ United Kingdom Hella KGaA Hueck & Co. Beckumer Str. 130 Lippstadt 59552 Germany

关键词： Electric vehicles explicit model predictive control model predictive control Motion planning Multiobjective optimisation

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An EMPC Based Active control for Pneumatic Pantograph System Using ON/OFF Valves 29

An EMPC Based Active Control for Pneumatic Pantograph System...

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第29届中国控制与决策会议

作者： Linzhou Fu Jianfeng Liu Weirong Liu Zhiwu Huang Qing Peng Hongwei Cao School of Information Science and Engineering Central South University

ISBN: (纸本)9781509046584

The Pantograph-Catenary system（PAC） is the most crucial and vulnerable part in the high-speed *** the high-speed movement of locomotive,the conventional passive control would cause various malfunction of the PAC *** the passive control does not have sufficient ability to avoid the dynamic variation of the contact force between carbon-plate and catenary ***,this paper considers the optimal reference-tracking active control algorithm based on explicit model predictive control（EMPC） to stabilize the contact force of PAC and set it precisely for which there exists experimentally validated ***,the nonlinear model of pantograph with one pair of ON/OFF valves is deduced to describe the correspondence between cylinder pressure and contact ***,the process of an offline computation for the state-space approximate optimal linear affine is ***,the EMPC based on the linear affine is ***,the simulation and experiment result are illustrated to prove the effectiveness of the design.

关键词： Active control explicit model predictive control Pantograph-catenary system Contact force

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Complexity reduction in motion cueing algorithm for the ULTIMATE driving simulator

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IFAC-PapersOnLine 2017年第1期50卷 10729-10734页

作者： Munir S. Hovd M. Fang Z. Olaru S. Kemeny A. Engineering Cybernetics Department Norwegian University of Science and Technology Trondheim N-7491 Norway Virtual Reality and Immersive Simulation Center RENAULT Paris France Automatic Control Department Supelec 3 rue Joliot Curie91192 France

关键词： Complexity reduction Contractive set Driving simulator explicit model predictive control low complexity contractive sets Motion cueing algorithm

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