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A hierarchical MPC for multi-objective mixed-integer optimisation applied to redundant refrigeration circuits

IFAC-PapersOnLine 2017年第1期50卷 9058-9064页

作者： Luchini E. Schirrer A. Kozek M. Institute of Mechanics and Mechatronics Division of Control and Process Automation Getreidemarkt 9/325-A5 Vienna A-1060 Austria

Temperature control of an insulated cool box (ICB) can be efficiently provided by model predictive control. However, if the cooling capacity is supplied by redundant refrigeration circuits (RCs) with both continuous and switched control variables, the overall control design becomes complex: 1) Time constants of the ICB and RCs differ by a factor of approximately 100. 2) Switched and continuous control variables require mixed-integer optimisation. 3) Power consumption, wear, control performance and output tracking call for multi-objective optimisation. In this work a global linear Model Predictive controller (MPC) is designed to compute a desired cooling capacity at a low sampling frequency for a long prediction horizon, while a mixed-integer MPC (MI-MPC) provides the actual cooling capacity utilising a fast sampling frequency and a short prediction horizon. The control concept is presented, a stability prove is given and simulation results demonstrate the performance of the concept. © 2017

关键词： hierarchical MPC mixed-integer optimisation multiple sampling rates refrigeration system

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Distributed Online Convex Optimization with Time-Varying Constraints: Tighter Cumulative Constraint Violation Bounds under Slater's Condition

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IEEE Transactions on Automatic control 2025年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai Institute of Intelligent Science and Technology China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China Massachusetts Institute of Technology Lab for Information & Decision Systems CambridgeMA02139 United States Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Nanyang Technological University School of Electrical and Electronic Engineering 50 Nanyang Avenue 639798 Singapore Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online convex optimization with time-varying constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordinate block of the constraint function are privately revealed to each agent. The loss and constraint functions are convex and can vary arbitrarily across rounds. The agents collaborate to minimize static network regret and network cumulative constraint violation. A novel distributed online algorithm with a vanishing stepsize is proposed and it achieves an O(Tmax {c,1-c}) static network regret bound and an O(T1-c/2) network cumulative constraint violation bound, where T is the number of rounds and c∈ (0,1) is a user-defined trade-off parameter. When Slater's condition holds (i.e, there is a point that strictly satisfies the inequality constraints), the network cumulative constraint violation bound is reduced to O(T1-c). Moreover, if the loss functions are strongly convex, then static network regret bound is reduced to O(log (T)), and the network cumulative constraint violation bound is reduced to O(√log (T)T) and O(log (T)) without and with Slater's condition, respectively. To the best of our knowledge, this paper is the first to achieve tighter (network) cumulative constraint violation bounds for (distributed) online convex optimization with time-varying constraints under Slater's condition. Finally, the theoretical results are verified through numerical simulations. © 1963-2012 IEEE.

关键词： Convex optimization

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Disturbance observer and ageing estimation for a temperature controlled food transporter

Disturbance observer and ageing estimation for a temperature...

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2018 SICE International Symposium on control Systems, SICE ISCS 2018

作者： Luchini, Elisabeth Kozek, Martin Institute of Mechanics and Mechatronics Division of Control and Process Automation Getreidemarkt 9/325-A5 ViennaA-1060 Austria

ISBN: (纸本)9784907764586

Temperature control of a food transport system with an insulated cool box (ICB) can be efficiently provided by model predictive control (MPC). However, disturbances like solar irradiation or deterioration of the heat transfer coefficient α of the ICB are typically not detected by sensors. In this paper a disturbance observer for solar irradiation is used to design a fast sampled disturbance compensation obtaining a fast response of the system. Two specific characteristics of the disturbance are utilized to estimate α: 1) During nighttime solar irradiation has its minimum. 2) α declines at a very slow rate. The MPC, irradiation estimation, and α estimation are implemented with different sampling rates. This enables separate and robust estimation and efficient implementation. The system and control architecture is presented, the concept of the observer and estimation is given and simulation results demonstrate the performance of the concept. © 2018 The Society of Instrument and control Engineers - SICE.

关键词： Model predictive control

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Realtime-capable FE-based railway catenary emulation via pantograph test rig impedance control

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IFAC-PapersOnLine 2017年第1期50卷 8636-8641页

作者： Aschauer G. Schirrer A. Kozek M. Jakubek S. Institute of Mechanics and Mechatronics Division of Control and Process Automation Technische Universität Wien Getreidemarkt 9/325-A5 Vienna A-1060 Austria

This work shows novel results of emulating railway catenary dynamics on a test rig for pantograph testing in order to provide for virtual test rides of railway pantograph current collectors under laboratory conditions. A realtime-capable finite-element model of a railway catenary is formulated efficiently in moving coordinates. An advanced test rig impedance control architecture is adopted for the finite-element model structure, and detailed simulations of an existing full-size pantograph test rig are carried out. The high fidelity of the realtime catenary model as well as the emulation performance of the closed-loop test rig setup in contact with a pantograph model provides promising results for the future implementation of the simulation/control architecture on the test rig hardware. © 2017

关键词： distributed-parameter systems finite elements Impedance control partial differential equations predictive control railways

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Integrated input-output selection strategy for robust control of complex parameter varying systems 10

Integrated input-output selection strategy for robust contro...

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10th International Conference on Motion and Vibration control, MOVIC 2010

作者： Hemedi, Mark Schirrer, Alexander Westermayer, Christian Kozek, Martin Division of Control and Process Automation Institute for Mechanics and Mechatronics Vienna Technical University Wiedner Hauptstrasse 8 A-1040 Vienna Austria

The selection of optimal inputs and outputs from larger candidate sets is an important prerequisite for an effective robust control application. This is especially true for active damping of complex and high-dimensional multi-input multi-output systems (MIMO) with flexible modes. Existing optimal selection strategies are commonly based on a single nominal system model and cannot explicitly consider parameter variations in the system. Consequently, an optimal selection for the nominal plant may perform poorly for a different parameter setting or even render the perturbed closed-loop system unstable. The proposed integrated input-output (I/O) selection strategy overcomes this problem by explicitly considering a set of systems covering the range of parameter variation. It is structured in three consecutive selection steps, where only the subset of accepted candidates is fed into the subsequent selection;thus, it is also computationally efficient. An additional advantage is a quantitative ranking of the final candidates, which enables the control engineer to make an optimal I/O choice. The method is illustrated by a flexible beam example as well as at a blended wing-body passenger aircraft model. Copyright © 2010 by the Japan Society of Mechanical Engineers.

关键词： Flexible structures

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Model predictive control of a battery emulator for testing of hybrid and electric powertrains

Model predictive control of a battery emulator for testing o...

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7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011

作者： König, Oliver Jakubek, Stefan Prochart, Günter Institute of Mechanics and Mechatronics Division of Control and Process Automation Vienna University of Technology Austria AVL List GmbH Graz Austria

ISBN: (纸本)9781612842486

Thorough testing of the powertrain is a key aspect for the development of reliable hybrid and electric vehicles. Instead of a real traction battery, a battery emulator is used to supply the electric motor inverters of hybrid powertrains on a testbed. This approach avoids time-consuming preconditioning of batteries and allows automated testing of hybrid powertrains. An electric motor inverter acts as a constant power load towards the battery emulator. This degrades the dynamic performance and can even destabilize a supply with a conventional controller. The contributions are a model predictive controller design approach that includes a model of the system and the constant power load. A robustness concept is utilized in order to achieve stable operation. An algorithm for real-time execution of constrained model predictive control is proposed as well. Simulation results and experimental results are presented. © 2011 IEEE.

关键词： Traction motors

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Pipeline rupture consequences mitigation comprehensive study

Pipeline rupture consequences mitigation comprehensive study

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Pipeline Simulation Interest Group Annual Meeting, PSIG 2010

作者： AL-Rasheed, Mahmood Brell, Austin Al-Qaffas, Saleh Al-Marri, Mohammed United States Process Control Division United States Sr. Consultant of Process Automation ESD Systems United States Northern Area Pipelines of Saudi Aramco United States

This paper focuses on improving PL safety by providing a methodology for detecting, locating rupture and reducing emergency response time. Pipeline rupture can be due to many factors such as such as corrosion, third party damage or over pressure in the system. In the oil & gas Industries, there are several rupture prevention measures to monitor and ensure safe pipeline operation. These include regular inspection, corrosion program and ongoing maintenance program. However, in few cases where we have rupture, the consequences can be serious. Over the last few years, major oil and gas industries experienced several major incidents related to pipeline ruptures. In all of these incidents, a common contributing factor to the problem is the time required to report and isolate rupture location. Therefore, to mitigate rupture consequences, the proposed solution is to help Pipelines Operations to reduce the response time to isolate rupture either through Manual or Automatic intervention. This paper considers current pipeline operation emergency response plan individual steps and look for area of improvements to reduce response time. In this paper, a comprehensive pipeline hydraulics transient analysis was performed for liquid and gas services addressing single and network pipeline systems to improve pipeline operating companies' emergency response plan during pipeline ruptures. The pipeline protection break set points for gas, liquid, single and network example cases are also presented in detail in the report. Implementation of study findings and recommendations will mitigate the harmful Consequences of a pipeline Rupture by MINIMIZING TIME to ISOLATE Ruptured Pipeline. © 2010 Pipeline Simulation Interest Group.

关键词： Pipelines

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Distributed Constrained Online Nonconvex Optimization with Compressed Communication

arXiv

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arXiv 2025年

作者： Zhang, Kunpeng Xu, Lei Yi, Xinlei Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Department of Mechanical Engineering University of Victoria VictoriaBCV8W 2Y2 Canada Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai201210 China Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen GroningenAG 9747 Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents. For a time-varying graph, we propose a distributed online primal–dual algorithm with compressed communication to efficiently utilize communication resources. We show that the proposed algorithm establishes an O(T max{1−θ1,θ1}) network regret bound and an O(T 1−θ1/2) network cumulative constraint violation bound, where T is the number of iterations and θ1 ∈ (0, 1) is a user-defined trade-off parameter. When Slater’s condition holds (i.e, there is a point that strictly satisfies the inequality constraints at all iterations), the network cumulative constraint violation bound is reduced to O(T 1−θ1). These bounds are comparable to the state-of-the-art results established by existing distributed online algorithms with perfect communication for distributed online convex optimization with (time-varying) inequality constraints. Finally, a simulation example is presented to validate the theoretical results. Copyright © 2025, The Authors. All rights reserved.

关键词： Convex optimization

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Finite time boundedness of switched delay systems by sliding mode technique 36

Finite time boundedness of switched delay systems by sliding...

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第36届中国控制会议

作者： Haijuan Zhao Yugang Niu Tinggang Jia Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology) Ministry of Education Automation Division of Shanghai Electric Group Co. Ltd.

ISBN: (纸本)9781538629185

In this paper,the finite-time boundedness（FTB） problem of sliding mode control（SMC） is investigated for a class of switched delay systems subject to uncertain parameter and nonlinear perturbation.A SMC law is constructed to drive the state trajectories onto the integral sliding surface during a finite time *** FTB of the controlled systems on both reaching phase and siding motion phase are analyzed by means of average dwell time ***,a numerical example is given.

关键词： Switched delay system Finite time boundedness Sliding mode control Average dwell time

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Predictive Battery Cooling in Heavy-Duty Fuel Cell Electric Vehicles 10th

Predictive Battery Cooling in Heavy-Duty Fuel Cell Electric ...

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10th IFAC Symposium on Advances in Automotive control, AAC 2022

作者： Büyüker, Banu Ç. Ferrara, Alessandro Hametner, Christoph Institute of Mechanics and Mechatronics Division of Process Control and Automation TU Wien Vienna Austria Christian Doppler Laboratory for Innovative Control and Monitoring of Automotive Powertrain Systems TU Wien Vienna Austria

In electric vehicles, it is essential to prevent battery overheating due to excessive ohmic losses or inadequate cooling. Indeed, the temperature of battery systems significantly impacts their performance, lifetime, and safety. This paper proposes a predictive cooling optimization method for the battery thermal management system of heavy-duty fuel cell electric vehicles. The predictive cooling strategy is based on a model predictive control (MPC) formulation to maintain the battery temperature in its optimal range (to increase efficiency) and avoid high-temperature peaks (to increase lifetime and safety). The predictive thermal management relies on the ohmic losses forecast provided by a predictive energy management system. Simulations of a real-world driving cycle validate the proposed MPC and assess the impact of the predictive horizon length, which is critical for thermal management performance. The comparison against a simple hysteresis control strategy highlights the significant benefits of the proposed MPC for higher battery efficiency and lifetime. Copyright © 2022 The Authors.

关键词： Model predictive control

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