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American control Conference

作者： Sankaranarayanan Subramanian Sergio Lucia Sebastian Engell Process Dynamics and Operations Group TU Dortmund Germany Otto-von-Guericke-University Magdeburg Laboratory for Systems Theory and Automatic Control Institute of Automation Engineering Germany

ISBN: (纸本)9781509045839

Model Predictive control (MPC) is an advanced strategy for the control of multi-variable and constrained dynamical systems. Tube-based MPC is a robust control technique that handles uncertainties present in the model. Since full state information is seldom available in practical systems, the estimation error must also be taken into account in addition to model uncertainties to achieve closed-loop stability and constraint satisfaction despite estimation and model errors. In this paper, we propose a novel strategy for the design of a tube-based output feedback MPC which is independent of the estimation method employed. We formulate a control policy by choosing a candidate estimate that is consistent with the reachable sets of the system under control. The proposed method can be combined with any estimation scheme as long as the assumed error bounds are satisfied. We show that the proposed method is recursively feasible, robustly exponentially stable, and performs better than other available strategies.

关键词： Maximum Allowable Concentration Linear system control strategy Output feedback constraint satisfaction problems model error control technology model uncertainty Statistical analysis

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Comparison between PI and fuzzy logic type-1 controllers for improvement the power quality by a shunt active power filter five-level NPC topology 8

Comparison between PI and fuzzy logic type-1 controllers for...

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8th International Conference on Modelling, Identification and control, ICMIC 2016

作者： Morsli, Abdelkader Tlemcani, Abdelhalim Cherchali, Noureddine Ould Boucherit, Mohamed Seghir Laboratory of Electrical Engineering and Automatic LREA Yahia Fares Uiversity of Medea Medea Algeria Laboratory of Process Control - LPC National Polytechnic School - ENP Algiers Algeria

ISBN: (纸本)9780956715760

This article presents two methods for the compensation of harmonics generated by a nonlinear load. The first is the classical PI controller. The second is the modern controller by Fuzzy ogic Tyie-1. Both methods are applied to a shunt Active Power Filter (sAPF) based on a three-phase voltage converter at five levels NPC topology in series with P-Q algorithm. The results give us clear that the rate of Harmonic Distortion issued by Fuzzy Logic Type-1 is better than PI controller and the power factor is corrected with application the sAPF. © 2016 University of MEDEA, Algeria.

关键词： Fuzzy logic

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Modeling for optimal operation of PEM fuel cells and electrolyzers 16

Modeling for optimal operation of PEM fuel cells and electro...

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16th International Conference on Environment and Electrical Engineering, EEEIC 2016

作者： Gabrielli, Paolo Flamm, Ben Eichler, Annika Gazzani, Matteo Lygeros, John Mazzotti, Marco Department of Mechanical Engineering ETH Zürich Separation Process Laboratory Zürich Switzerland Department of Electrical Engineering ETH Zürich Automatic Control Laboratory Zürich Switzerland

ISBN: (纸本)9781509023196

This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear program (MILP) is formulated with a piecewise affine approximation of the conversion efficiency and linear temperature dynamics for the devices. The outputs of the simplified linear models are compared with the detailed ones, when optimally producing and consuming a fixed quantity of hydrogen gas. Comparisons are performed for a variety of price scenarios and efficiency approximations, for both the fuel cell and electrolyzer. © 2016 IEEE.

关键词： Integer programming

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Modeling for Optimal Operation of PEM Fuel Cells and Electrolyzers

Modeling for Optimal Operation of PEM Fuel Cells and Electro...

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IEEE International Conference on Environment and Electrical Engineering

作者： Paolo Gabrielli Ben Flamm Annika Eichler Matteo Gazzani John Lygeros Marco Mazzotti Department of Mechanical Engineering ETH Zürich Separation Process Laboratory Zürich Switzerland Department of Electrical Engineering ETH Zürich Automatic Control Laboratory Zürich Switzerland

ISBN: (纸本)9781509023219

关键词： Hydrogen storage Energy management Fuel cells Electrolyzers Modeling Optimization control

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An alternative for PID control: Predictive Functional control - a tutorial

An alternative for PID control: Predictive Functional Contro...

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American control Conference

作者： R. Haber J.A. Rossiter K. Zabet Laboratory of Process Control Institute of Process Engineering and Plant Design Faculty of Process Engineering Energy and Mechanical Systems Cologne University of Applied Science D-50679 Koln Germany Dept. of Automatic Control and Systems Eng. University of Sheffield S1 3JD UK

ISBN: (纸本)9781467386838

PFC (Predictive Function control) can be considered as a bridge between PI(D) and complex MPC. PI(D) control can have problems handling dead time and constraints. PFC handles these cases and is often better than using a Smith predictor. PFC is a simple realizable MPC which thus uses prediction and preview of key variables. PFC can be implemented via simple program code and thus has cheap license costs. The tutorial introduces the basic idea of PFC and algorithms for typical processes. Simulations illustrate its effectiveness and advantages over PI(D) and Smith predictors.

关键词： process control Mathematical model Trajectory Tuning Robustness Prediction algorithms Predictive models Proportional Integral Derivative control Prediction algorithms process control Prediction models Pelvic Inflammatory Disease trajectory tuning Power factor correction Mathematical Model Smith predictors Proportional derivative control predictive functional control program code Robustness DEAD TIME

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Unit-level modelling for KPI of batch hot strip mill process using dynamic partial least squares

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IFAC-PapersOnLine 2015年第28期48卷 1005-1010页

作者： Zhang, Kai Shardt, Yuri A. W. Chen, Zhiwen Ding, Steven X. Peng, Kaixiang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 BB Duisburg47057 Germany Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology of Beijing Beijing100083 China

This paper proposes two different approaches to the problem of modelling the key performance indicators (KPIs) in a hot strip mill process (HSMP). The first approach takes into consideration the inherent dynamics of the process and develops a nonlinear iterative dynamic partial least squares (PLS) model. The second approach takes into consideration the multibatch property of HSMP to develop an appropriate multibatch modelling framework. Both approaches can be integrated into the dynamic model framework. The proposed framework is examined using industrial data obtained from a steel plant, where it provides a decent model for this process. However, there exists the potential for improvements including dealing with interbatch variability. © 2015, IF AC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Strip mills Benchmarking Least squares approximations Steelmaking Strip metal Waste disposal Hot strip mills Industrial datum Key performance indicators Model framework Modelling framework Multibatch Partial least square (PLS) Partial least squares models

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Robust output feedback NMPC with guaranteed constraint satisfaction 8

Robust output feedback NMPC with guaranteed constraint satis...

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8th IFAC Symposium on Robust control Design, ROCOND 2015

作者： Subramanian, Sankaranarayanan Lucia, Sergio Paulen, Radoslav Engell, Sebastian Process Dynamics and Operations Group TU Dortmund Germany Otto-von-Guericke-University Magdeburg Laboratory for Systems Theory and Automatic Control Institute of Automation Engineering Germany

Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of the plant can be measured, the NMPC scheme must be robust to plant uncertainties and to estimation errors. Different robust NMPC strategies have been proposed to deal with these uncertainties. Among them, a multi-stage NMPC, which is based upon a scenario tree of future plant evolutions, is less conservative compared to worst-case open-loop approaches because the presence of feedback at future sampling instants is explicitly considered. In multi-stage output feedback NMPC, additional scenarios are created by sampling the innovations that are used to estimate the future states of the plant along the scenario tree. In this paper, we refine our previously published approach to include state estimation errors. Moreover we extend the scheme to guarantee robust constraint satisfaction by calculating reachable sets using Taylor models. The method is demonstrated for a nonlinear chemical process example. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robust control

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Research on adaptation criteria generation based on large data mining

Research on adaptation criteria generation based on large da...

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IEEE Chinese Guidance, Navigation and control Conference (CGNCC)

作者： Hong-Quan Yun Li Xu Hao Dou De-Lie Ming National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute China Nat. Key Lab. of Sci. & Technol. on Aerosp. Intell. Control Beijing Aerosp. Autom. Control Inst. China State Key Lab. for Multi-spectral Inf. Process. Technol. Huazhong University of Science and Technology Wuhan Hubei CN

ISBN: (纸本)9781467383196

This paper performs research on adaptation analysis based on large amount of multi-source remote sensing data. In view of different demands from different task background, the research is firstly focused on how to analyze the data in computer language. To achieve this, the feature parameters of target areas are extracted from different target area geographic data. In combination of ORACLE database engine, data mining technology is used to carry out the target area adaptation assessment, and extract corresponding adaptation criteria. We test the trained adaptation criteria on multi-source geographic information data of different target areas. Experimental results show that the resulting criterion has certain coincidence rate and robustness.

关键词： Image edge detection Decision trees Stability criteria Pattern matching Guidelines Real-time systems

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Fault-Tolerant control for Discrete Linear Systems with Consideration of Actuator Saturation and Performance Degradation

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IFAC-PapersOnLine 2015年第21期48卷 499-504页

作者： Wang, Z. Rodrigues, M. Theilliol, D. Shen, Y. School of Astronautics Harbin Institute of Technology Harbin 150001 China Automatic and Process Control Laboratory University of Lyon CNRS UMR 5007 F-69622 France Centre de Recherche en Automatique de Nancy Université de Lorraine CNRS UMR 7039 F-54506 Vandoeuvre-les-Nancy France

This paper proposes an active fault-tolerant control method for discrete-time linear systems with actuator faults. The main contribution of this paper lies in the capability of dealing with the actuator saturation and accepting the performance degradation. In this paper, a fault estimation observer is first designed by constructing an equivalent descriptor system model of the original plant. To accept performance degradation of the post-fault system, a degradation factor is introduced into the REFERENCE model. In the fault-tolerant control design, both the actuator saturation and performance degradation are considered, and the fault-tolerant control input and the degradation factor are simultaneously designed by solving a constrained optimization problem. Finally, an aircraft example is simulated to demonstrate the effectiveness and performance of the proposed method. © 2015

关键词： Fault tolerance

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Mathematical modelling and sensitivity analysis of multipolar radiofrequency ablation in the spine 9

Mathematical modelling and sensitivity analysis of multipola...

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9th IFAC Symposium on Biological and Medical Systems, BMS 2015

作者： Matschek, Janine Himmel, Andreas Von Haeseler, Friedrich Bullinger, Eric Skalej, Martin Findeisen, Rolf Laboratory for Systems Theory and Automatic Control Otto-von-Guericke University Magdeburg Germany Forschungscampus STIMULATE Magdeburg Germany Department of Process Systems Engineering Otto-von-Guericke University Magdeburg Germany Institute for Neuroradiology University Hospital of Magdeburg Germany

Mathematical models of the radiofrequency ablation enable to plan, monitor and control interventions allowing to predict and improve their outcome. A system of coupled partial differential equations suitable for planning, analysis and real time implementation is proposed to model the multipolar radiofrequency ablation under consideration of capillary blood perfusion in the spine. To address the multipolar operation, time dependent boundary conditions to the model are introduced. Accounting for the application in the spine, consisting of various tissue types, we consider spatially distributed model parameters. Since the spatially distributed parameters play a key role, analytic expressions for a sensitivity analysis are derived. Based on the model, simulations are performed underlining the quality of the approach and analysing the influence of the spatially distributed parameters. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Sensitivity analysis

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