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distributed-model-predictive-control
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Distributed model predictive control with hierarchical architecture for communication: application in automated irrigation channels
, Article International Journal of Control ; Volume 89, Issue 8 , 2016 , Pages 1725-1741 ; 00207179 (ISSN) ; Khodabandehlou, A ; Sharif University of Technology
Taylor and Francis Ltd
Abstract
This paper is concerned with a distributed model predictive control (DMPC) method that is based on a distributed optimisation method with two-level architecture for communication. Feasibility (constraints satisfaction by the approximated solution), convergence and optimality of this distributed optimisation method are mathematically proved. For an automated irrigation channel, the satisfactory performance of the proposed DMPC method in attenuation of the undesired upstream transient error propagation and amplification phenomenon is illustrated and compared with the performance of another DMPC method that exploits a single-level architecture for communication. It is illustrated that the DMPC...
Game theory meets distributed model predictive control in vehicle-to-grid systems
, Article 11th International Conference on Electrical and Electronics Engineering, ELECO 2019, 28 November 2019 through 30 November 2019 ; 2019 , Pages 764-768 ; 9786050112757 (ISBN) ; Haeri, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Electric Vehicles (EVs) will be used rampantly in future transportation system. Although the uncontrolled charging of these EVs will be threatening for the stability of the grid, a compatible energy trading policy may provide beneficial services to the grid as well as preserving the sustainability of the system. In this paper, by taking advantage of block rate tariff, a wholesale pricing policy is introduced. A multi-objective approach is utilized to address the cost reduction and load leveling services concurrently. Due to the high computational complexity of a centralized problem, a game theoretic approach is exerted in order to design decentralized controllers for EVs. Moreover, an MPC...
Distributed Robust Model Predictive Control for Multi-zone Air Conditioning Systems
, M.Sc. Thesis Sharif University of Technology ; Moradi, Hamed (Supervisor)
Abstract
Optimizing the energy consumption of air conditioning systems has gained great importance in recent years. In addition, maintaining thermal comfort and air quality in buildings is important. The multi-evaporator air conditioning system, which is a direct expansion system, shows the complex and distributed structure of air conditioning systems due to the thermal connection between zones and its large scale. The modeling of these systems is associated with uncertainties. Therefore, designing a suitable control structure for multi-zone systems is very important to achieve optimal energy consumption and maintain comfort conditions in the presence of uncertainty. Model predictive control has been...
LMI-based cooperative distributed model predictive control for Lipschitz nonlinear systems
, Article Optimal Control Applications and Methods ; Volume 41, Issue 2 , 2020 , Pages 487-498 ; Haeri, M ; Sharif University of Technology
John Wiley and Sons Ltd
2020
Abstract
In this paper, a distributed model predictive control is proposed to control Lipschitz nonlinear systems. The cooperative distributed scheme is considered where a global infinite horizon objective function is optimized for each subsystem, exploiting the state and input information of other subsystems. Thus, each control law is obtained separately as a state feedback of all system's states by solving a set of linear matrix inequalities. Due to convexity of the design, convergence properties at each iteration are established. Additionally, the proposed algorithm is modified to optimize only one control input at a time, which leads to a further reduction in the computation load. Finally, two...
A cyber-physical system for building automation and control based on a distributed MPC with an efficient method for communication
, Article European Journal of Control ; Volume 61 , 2021 , Pages 151-170 ; 09473580 (ISSN) ; Farhadi, A ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
This paper introduces a cyber-physical system for building automation and control that is developed based on a distributed model predictive control. The implemented distributed method significantly reduces computation overhead with respect to the centralized methods. However, continuous data transfer between subsystems, which are often far from each other, is required when using this method. Information transmission between subsystems is very often subject to the limitations of transmission bandwidth and/or short communication range resulting in significant communication overhead. This causes significant time latency between making measurements and applying control commands, which adversely...