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检索条件"主题词=Distributed Model Predictive Control"

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Min-max coalitional model predictive control algorithm 22

Min-max coalitional model predictive control algorithm

引用

22nd International Conference on control Systems and Computer Science (CSCS)

作者： Maxim, Anca Maestre, Jose M. Caruntu, Constantin F. Lazar, Corneliu Gheorghe Asachi Tech Univ Iasi Dept Automat Control & Appl Informat Blvd D Mangeron 27 Iasi 700050 Romania Univ Ghent Dept Elect Energy Met Mech Construct & Syst Technol Pk 914 B-9052 Ghent Belgium Univ Seville Dept Syst & Automat Engn Camino Descubrimientos S-N Seville 41092 Spain

ISBN: (纸本)9781728123318

This paper proposes a coalitional model predictive control algorithm with feasibility guarantees for systems with bounded additive uncertainties. This formulation, suitable for sub-systems coupled through the inputs, assumes the coupling variables as disturbances and ensures a robust consensus with minimum information exchange. The simulation results show that the coalitional method has similar behaviour to the fully centralized algorithm and improved performance with respect to the decentralized and the iterative min-max distributed model predictive controllers.

关键词： Coalitional control distributed model predictive control Min max control

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model predictive control of Underwater Gliders Based on a One-layer Recurrent Neural Network

Model Predictive Control of Underwater Gliders Based on a On...

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6th International Conference on Advanced Computational Intelligence (ICACI)

作者： Shan, Yuan Yan, Zheng Wang, Jun Dalian Univ Technol Sch Control Sci & Engn Dalian Liaoning Peoples R China Chinese Univ Hong Kong Dept Mech & Aeronaut Engn Shatin Hong Kong Peoples R China

ISBN: (纸本)9781467363433

In this paper, a motion control problem for underwater gilders in longitudinal plane is considered. A recurrent neural network based model predictive control approach is developed. The model predictive control of underwater gliders is formulated as a time-varying constrained quadratic programming problem, which is solved by using a rcurrent neural network called the simplified dual network in real-time. Simulation results are further presented to show the effectiveness and performance of the proposed model predictive control approach.

关键词： recurrent neural nets model predictive control predictive control distributed model predictive control nonlinear model predictive control Gliders Underwater Motor control

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Personal Robot Assisting Transportation to Support Active Human Life - Human-Following Method based on model predictive control for Adjacency without Collision -

Personal Robot Assisting Transportation to Support Active Hu...

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IEEE International Conference Mechatronics (ICM)

作者： Hirose, Noriaki Tajima, Ryosuke Sukigara, Kazutoshi Toyota Cent Res & Dev Labs Inc Informat & Elect Res Div Intelligent Syst Lab 41-1 Yokomichi Nagakute Aichi Japan

ISBN: (纸本)9781479936335

An aging society exists throughout the entire world. In order to support the aging society, service robots that are able to improve our comfortable lifestyle and increase longevity have been developed. However, excessive and premature robot support may cause not only the deterioration of our physical ability but also shortening of the period of well-being. In our research group, a personal robot that can carry baggage and automatically follow a human being was developed to overcome the above problem. The people that use this personal robot will be able to walk outside with empty hands, even after shopping, thus contributing to their health management. In this paper, the past prototypes of the personal robot are discussed, and the new robot is presented. Also, a human-following method based on model predictive control is proposed to realize the contradicting requirements of both shortening the relative distance between the owner and the robot and ensuring no collision. The effectiveness of the proposed approach is verified by numerical simulation of the prototype robot.

关键词： personal robots Collisions new robot distributed model predictive control nonlinear model predictive control Anticlockwise predictive control Robot model predictive control Life Style health care management

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Steffensen's acceleration method for ADMM for solving EV charging optimization problems 9

Steffensen's acceleration method for ADMM for solving EV cha...

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9th International Conference on Power and Renewable Energy

作者： Gong, Yu Yuan, Ye Wang, Zihao Wu, Chao State Grid Liaoning Elect Power Supply Co Ltd Dalian Elect Power Supply Co Dalian Peoples R China

ISBN: (纸本)9798350377477;9798350377460

Charging control strategies determine the charging schedules of electric vehicles (EVs) to meet the travel demands of residents. Due to the bandwidth of the communication system, the scalability, and the robustness of the controller, distributed model predictive control (DMPC) approaches are widely adopted for EV charging control. This paper proposes a novel Steffensen Alternating Direction Method of Multipliers (S-ADMM) algorithm to accelerate the solving process of DMPC charging control planning problems. Via a case study, the performance of the proposed S-ADMM algorithm and the traditional ADMM algorithm are compared. The S-ADMM algorithm shows better performance in terms of convergence speed.

关键词： EV charging control distributed model predictive control Steffensen's method Alternating Direction Method of Multipliers

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Cooperative DMPC-Based Load Frequency control of AC/DC Interconnected Power System with Solar Thermal Power Plant 10

Cooperative DMPC-Based Load Frequency Control of AC/DC Inter...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Liao, Xiaobing Liu, Kaipei Qin, Liang Wang, Ningbo Ma, Yanhong Chen, Zhao Ding, Kun Zhou, Qiang Wuhan Univ Sch Elect Engn Wuhan 430072 Hubei Peoples R China State Grid Gansu Power Grid Corp Wind Technol Ctr Lanzhou 730050 Gansu Peoples R China

ISBN: (纸本)9781538656860

This paper present a cooperative distributed model predictive control (C-DMPC) strategy for load frequency control (LFC) of the three-area AC/ DC interconnected power system incorporating solar thermal power plant. The distributed LFC model of three multisource (solar plant, thermal plant, and diesel plant) is designed in the presence of both external disturbances and constraints which represent generation rate constraint (GRC) and control input constraints, respectively. Simulation and analysis results for the three-area AC/DC interconnected power system indicate dynamic responses performance of C-DMPC is better than Non-Cooperative DMPC (NC-DMPC) and decentralized MPC (D-MPC), and HVDC power modulation can improve the system frequency stability.

关键词： solar thermal power plant AC/DC power grid distributed model predictive control load frequency control HVDC power modulation

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model predictive control with a mixed integer programming for merging path generation on motor way 1

Model predictive control with a mixed integer programming fo...

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1st Annual IEEE Conference on control Technology and Applications

作者： Mukai, Masakazu Natori, Hiroi Fujita, Masayuki Kogakuin Univ Dept Elect & Elect Engn Tokyo 1638677 Japan Tokyo Inst Technol Dept Syst & Control Engn Tokyo 1528550 Japan

ISBN: (纸本)9781509021826

This paper proposes a path generation method using model predictive control for merging of automobiles on a motor way. The path generation problem is formulated as a mixed integer programming (MIP) problem. The method is implemented based on receding horizon philosophy. The MIP is solved at each step then a first element of the optimal input is applied to system. The point of the proposed method is that it can consider a feasibility of the merging. Computer simulation is carried out to show the effectiveness of the proposed control method. Furthermore it is shown that the feasibility analysis can be employed to the gap control using adaptive cruise control and lane change control.

关键词： merging automobiles MIP merger path generation Automobiles MIP gene Integer Programming Cars distributed model predictive control nonlinear model predictive control predictive control model predictive control Adaptive cruise control Mixed integer

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A Dual Decomposition Based DMPC for Networked Systems with Varying Topology

A Dual Decomposition Based DMPC for Networked Systems with V...

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Chinese Automation Congress (CAC)

作者： Hou, Bei Zheng, Yi Li, Shaoyuan Shanghai Jiao Tong Univ Dept Automat Shanghai Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai Peoples R China

ISBN: (纸本)9781728140940

Economical and technological advancement contributes to the emergence of large-scale systems in industrial field, which are considered as networked systems consisting of several interacted subsystems. For this class of industrial processes, when factors such as variation of materials in production exist, subsystems may be required to be removed from or inserted into the current processing system, which leads to the change in topology of the networked system. This can bring about the in-feasibility of the controller which is designed for previous system. For this problem, this paper proposes a distributed model predictive control (DMPC) algorithm to allow the immediate removal or plugging-in of specific subsystems, where decision variables steady state and steady input are included in the optimization problems to expand the feasibility region and will be optimized along with the predictive input values. At each time instant, the computation for the actual input is conducted by solving max-min problems based on dual decomposition, which ensures that the optimization problem is computed in a distributed manner with neighbor-to-neighbor communication. Here the optimization problem is solved in an iterative manner for the global performance. A numeric example is provided to illustrate the effectiveness of the algorithm.

关键词： networked systems distributed model predictive control dual decomposition communication network

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Load Management in Smart Grids with Utilization of Load-Shifting Potential in Building Climate control

Load Management in Smart Grids with Utilization of Load-Shif...

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2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)

作者： Miletic, Maja Schirrer, Alexander Kozek, Martin Vienna Univ Technol Inst Mech & Mechatron Vienna Austria

ISBN: (纸本)9781479977369

Operation safety in the smart grid can be secured by prescribing constraints on the power consumption of the end-users when considered necessary. In this paper a cohesive integration of the grid and building control is presented. First, a hierarchical model predictive control in smart grids for optimally calculating grid constraints is considered. Furthermore, in order to eff ciently incorporate grid constraints and still achieve admissible thermal comfort in the building, a model predictive control for building climate system with thermally activated building structure (TABS) is suggested. The load-shifting potential of the building with large thermal mass is demonstrated in simulations for various climate conditions on an example of an existing modern off ce building.

关键词： building management systems load management power consumption predictive control smart power grids temperature control TABS admissible thermal comfort building climate control grid constraints hierarchical model predictive control load-shifting potential utilization operation safety optimal grid constraint calculation smart grids thermal mass thermally activated building structure Buildings Cooling Heating Load modeling Optimization predictive models Safety Smart grids load management Power consumption Thermal mass Building management systems Buildings Climate control(Buildings) predictive control Load modeling Prediction models Temperature control Cooling distributed model predictive control nonlinear model predictive control Consumer safety

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A Flexible distributed control Strategy for Teams of Vehicles Moving within Severe Obstacle Scenarios 24

A Flexible Distributed Control Strategy for Teams of Vehicle...

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24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Venturino, Antonello Lucia, Walter Concordia Univ CIISE Montreal PQ Canada

ISBN: (纸本)9781728103037

In this paper, a distributed model predictive control scheme is developed for addressing the obstacle avoidance problem for a group of unmanned ground vehicles moving in unknown and planar environments. The proposed strategy exploits a switching control architecture where the vehicle formation can be conveniently organized in two different typologies, namely grid and platoon, according to the detected obstacle scenario. The main advantage of this scheme consists in the flexibility of the formation which can be on-line rearranged whenever large obstacle occurrences almost completely occlude the formation path and only narrow corridors are available.

关键词： Vehicle Formation distributed model predictive control Time-Varying Topology Obstacle Avoidance

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Influence of fuzzy layer in distributed control structure applied to four coupled tanks 4

Influence of fuzzy layer in distributed control structure ap...

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IEEE 4th Colombian Conference on Automatic control (CCAC) - Automatic control as Key Support of Industrial Productivity

作者： Morales-Rodelo, Keidy Vega, Pastora Francisco, Mario Revollar, Silvana Univ Salamanca Sci Fac Salamanca Spain Univ Salamanca ETSII Bejar Salamanca Spain

ISBN: (纸本)9781538669624

A distributed predictive control strategy including a fuzzy layer is presented in this work. The control strategy is based on a multi-agent distributed model and it is applied to the four coupled tanks benchmark. The fuzzy inference is used in order to determine the final control action, i.e. the negotiation between the agents. In this work, the influence of the fuzzy inference over the distributed control strategy is analyzed, taking into account the sets size and user requirements.

关键词： distributed model predictive control fuzzy logic four coupled tanks

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