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Nash optimality based distributed model predictive control for vehicle platoon ⁎

IFAC-PapersOnLine 2020年第2期53卷 6610-6615页

作者： Shuyou Yu Hao Chen Yangyang Feng Yajing Zhang Yongfu Li Christian Ebenbauer Hong Chen Department of Control Science and Engineering Jilin University Changchun 130012 P.R. China College of Automation Chongqing University of Posts and Telecommunications Chongqing 400065 P.R. China Institute for System Theory and Automatic Control University of Stuttgart Stuttgart 70550 Germany Clean Energy Automotive Engineering Tongji University Shanghai 201804 P. R. China

In this paper, a distributed model predictive control algorithm (DMPC) based on Nash optimality is proposed for automated vehicle platoon control. The optimization decision of vehicle platoon is decomposed into the decentralized optimization of single vehicles, in which the Nash optimality algorithm is adopted to solve the decentralized optimization problem. Thus, each vehicle can reach the local optimal target and the whole team can reach its Nash equilibrium. The methodology employs neighborhood information of the entire platoon through on-board sensors and V2V communication to achieve coordination of the entire platoon. The ability of the methods in terms of robustness to disturbances and cyber-physical interaction is demonstrated with simulation case studies.

关键词： Vehicle platoon Distributed control Model predictive control Nash optimality

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State of Charge Estimation of Parallel Connected Battery Cells via Descriptor system Theory

State of Charge Estimation of Parallel Connected Battery Cel...

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American control Conference

作者： Dong Zhang Luis D. Couto Sebastien Benjamin Wente Zeng Daniel F. Coutinho Scott J. Moura Department of Civil and Environmental Engineering University of California Berkeley California USA Department of Control Engineering and System Analysis Université Libre de Bruxelles Brussels Belgium Saft Batteries Total S.A. Total S.A. Department of Automation and Systems UFSC Florianópolis SC Brazil

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

This manuscript presents an algorithm for individual Lithium-ion (Li-ion) battery cell state of charge (SOC) estimation when multiple cells are connected in parallel, using only terminal voltage and total current measurements. For battery packs consisting of thousands of cells, it is desirable to estimate individual SOCs by only monitoring the total current in order to reduce sensing cost. Mathematically, series connected cells yield dynamics given by ordinary differential equations under classical full voltage sensing. In contrast, parallel connected cells are evidently more challenging because the dynamics are governed by a nonlinear descriptor system, including differential equations and algebraic equations arising from voltage and current balance across cells. This paper designs and analyzes an observer with linear output error injection, where the individual cell SOCs and local currents are locally observable from the total current and voltage measurements. The asymptotic convergence of differential and algebraic states is established by considering local Lipschitz continuity property of system nonlinearities. Simulation results on LiNiMnCoO_2/Graphite (NMC) cells illustrate convergence for SOCs, local currents, and terminal voltage.

关键词： Batteries Mathematical model State of charge Observers Current measurement Integrated circuit modeling

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Development of power drive technology for high lift system of commercial aircraft

Development of power drive technology for high lift system o...

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CSAA/IET International Conference on Aircraft Utility systems (AUS 2020)

作者： T. Liu Y. Zhang W. Wang J. Ju W. Yu Shanghai Aircraft Design and Research Institute Department of Flight Control System China Commercial Aircraft Corporation of China Ltd. Department of Science and Technology Management China Shanghai Jiaotong University Department of Automation School of Electronic Information and Electrical Engineering China

In this paper, the development of power driving technology for high lift system of modern commercial aircraft is presented. Three kinds of power driving technical schemes of high lift system are demonstrated together with their characteristics. Various applications of power drive technology on present mainstream aircrafts have been addressed and analyzed respectively. In addition to the analysis of existing power drive technology, this work presented that distributed electric power drive technology could be a potential future development trend. The paper can be read as a reference for selecting power driving technical scheme of high lift systems at conceptual design phase of a commercial aircraft.

关键词： aircraft power systems aircraft design engineering electric drives

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Energy Efficient Predictive control for Vapor Compression Refrigeration Cycle systems

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IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 953-960页

作者： Xiaohong Yin Shaoyuan Li the School of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266042China the Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China

Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.

关键词： Cooling load model predictive control(MPC) superheat vapor compression refrigeration cycle(VCC)

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system modeling and simulation for flap system power drive unit of commercial aircraft

System modeling and simulation for flap system power drive u...

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CSAA/IET International Conference on Aircraft Utility systems 2020, AUS 2020

作者： Liu, Tong Zhang, Yue Qian, Yanjun Ju, Jiachen Yu, Wenbin Department of Flight Control System Shanghai Aircraft Design and Research Institute 5188 Jinke Rd. Shanghai201210 China Department of Science and Technology Management Commercial Aircraft Corporation of China Ltd. 1919 Shibo Ave. Shanghai200126 China Department of Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave. W. WaterlooONN2L 3G1 Canada Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiaotong University 800 Dongchuan Rd. Shanghai200240 China

ISBN: (纸本)9781839535635

This paper describes the use of mathematical modelling within flap system power driving unit for commercial aircraft. The modelling process is described from the architecture of flap system, the principle and mathematical model of electrical motors and its control loop structure. The model of power driving unit and its external load system are developed in Simulink. Basic retraction and deployment function of flap has been performed, and the response of power driving unit under a typical jam failure of the actuator is provided. This work highlights the advantages of system modelling and simulation to support the load analysis of driveline components (e.g. actuators, torque shafts, etc.) within the conceptual design phase. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Actuators

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Dual Grid Voltage Modulated Direct Power control of Grid-Connected Voltage Source Converter under Unbalanced Network Condition

Dual Grid Voltage Modulated Direct Power Control of Grid-Con...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Gao, Shuning Zhao, Haoran Gui, Yonghao School of Electrical Engineering Shandong University Ji'nan250061 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Ji'nan250061 China Automation and Control Section Department of Electronic Systems Aalborg University Aalborg Denmark

ISBN: (纸本)9781728135205

The Grid voltage Modulated Direct Power control (GVM-DPC) for Voltage Source Converter (VSC) is a recently proposed superior control strategies which features several advantages such as fast power reference tracking, simple structure, no need to use synchronizing techniques, strong robustness and so on. In this paper, an improved Dual Grid Voltage Modulated Direct Power control (D-GVM-DPC) strategies for unbalanced grid voltage condition is proposed and compared with regular voltage oriented dual PI control techniques. The idea of this improvement is to separately control the positive and negative sequence power components based on the original GVM-DPC controller. The simulation results shows that the proposed strategy is superior to the dual current control schemes been used with voltage oriented control strategy. © 2019 IEEE.

关键词： Electric power transmission networks

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system modeling and simulation for flap system power drive unit of commercial aircraft

System modeling and simulation for flap system power drive u...

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CSAA/IET International Conference on Aircraft Utility systems (AUS 2020)

作者： T. Liu Y. Zhang Y. Qian J. Ju W. Yu Shanghai Aircraft Design and Research Institute Department of Flight Control System China Commercial Aircraft Corporation of China Ltd. Department of Science and Technology Management China University of Waterloo Department of Mechanical and Mechatronics Engineering Canada Shanghai Jiaotong University Department of Automation School of Electronic Information and Electrical Engineering China

关键词： mechanical engineering computing control engineering computing actuators aerospace components jamming design engineering aircraft power systems machine control computer simulation

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Distributed Nonconvex Optimization: Gradient-free Iterations and ϵ-Globally Optimal Solution

arXiv

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arXiv 2020年

作者： He, Zhiyu He, Jianping Chen, Cailian Guan, Xinping Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Automatic Control Laboratory ETH Zurich Zurich8092 Switzerland

Distributed optimization utilizes local computation and communication to realize a global aim of optimizing the sum of local objective functions. This article addresses a class of constrained distributed nonconvex optimization problems involving univariate objectives, aiming to achieve global optimization without requiring local evaluations of gradients at every iteration. We propose a novel algorithm named CPCA, exploiting the notion of combining Chebyshev polynomial approximation, average consensus, and polynomial optimization. The proposed algorithm is i) able to obtain ϵ-globally optimal solutions for any arbitrarily small given accuracy ϵ, ii) efficient in both zeroth-order queries (i.e., evaluations of function values) and inter-agent communication, and iii) distributed terminable when the specified precision requirement is met. The key insight is to use polynomial approximations to substitute for general local objectives, distribute these approximations via average consensus, and solve an easier approximate version of the original problem. Due to the nice analytic properties of polynomials, this approximation not only facilitates efficient global optimization, but also allows the design of gradient-free iterations to reduce cumulative costs of queries and achieve geometric convergence for solving nonconvex problems. We provide a comprehensive analysis of the accuracy and complexities of the proposed algorithm. © 2020, CC BY-NC-SA.

关键词： Polynomial approximation

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Energy trading in microgrids for synergies among electricity, hydrogen and heat networksi

arXiv

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arXiv 2020年

作者： Zhu, Dafeng Yang, Bo Liu, Qi Ma, Kai Zhu, Shanying Guan, Xinping Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China

In this paper, an energy trading mechanism among microgrids is introduced to incentive them to share extra electricity, in order to balance renewable energy generation and energy demand at a low cost. However, energy trading might not completely absorb the excess renewable energy, a multi-energy management framework including fuel cell vehicles, energy storage, combined heat and power (CHP) and renewable energy is proposed, and the characteristics and scheduling arrangements of fuel cell vehicles are considered to further realize the local absorption of renewable energy and enhance the economic benefits of microgrids. This work designs a joint energy scheduling and trading algorithm based on Lyapunov optimization and double auction to solve the optimization problem of microgrids, which guarantees the truthfulness of information, customers satisfaction and optimal benefits. The simulations based on real data evaluate the performance of the multi-energy management framework and demonstrate the effectiveness of the proposed algorithm. Copyright © 2020, The Authors. All rights reserved.

关键词： Scheduling

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Low-latency federated learning over wireless channels with differential privacy

arXiv

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arXiv 2021年

作者： Wei, Kang Li, Jun Ma, Chuan Ding, Ming Chen, Cailian Jin, Shi Han, Zhu Poor, H. Vincent School of Electrical and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Data61 CSIRO SydneyNSW2015 Australia The Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul Korea Republic of The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

In federated learning (FL), model training is distributed over clients and local models are aggregated by a central server. The performance of uploaded models in such situations can vary widely due to imbalanced data distributions, potential demands on privacy protections, and quality of transmissions. In this paper, we aim to minimize FL training delay over wireless channels, constrained by overall training performance as well as each client's differential privacy (DP) requirement. We solve this problem in the framework of multi-agent multiarmed bandit (MAMAB) to deal with the situation where there are multiple clients confornting different unknown transmission environments, e.g., channel fading and interferences. Specifically, we first transform the long-term constraints on both training performance and each client's DP into a virtual queue based on the Lyapunov drift technique. Then, we convert the MAMAB to a max-min bipartite matching problem at each communication round, by estimating rewards with the upper confidence bound (UCB) approach. More importantly, we propose two efficient solutions to this matching problem, i.e., modified Hungarian algorithm and greedy matching with a better alternative (GMBA), in which the first one can achieve the optimal solution with a high complexity while the second one approaches a better tradeoff by enabling a verified low-complexity with little performance loss. In addition, we develop an upper bound on the expected regret of this MAMAB based FL framework, which shows a linear growth over the logarithm of communication rounds, justifying its theoretical feasibility. Extensive experimental results are conducted to validate the effectiveness of our proposed algorithms, and the impacts of various parameters on the FL performance over wireless edge networks are also discussed. Copyright © 2021, The Authors. All rights reserved.

关键词： Multi agent systems

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