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

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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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

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IFAC-PapersOnLine 2015年第11 11期48卷 1000-1005页

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem street 10. Veszprém H-8200 Hungary Process Control Research Group Control and Automation Research Institute HAS Kende street 13-17 BudapestH-1111 Hungary

Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium point. This enables to use a linear full state feedback controller to stabilize the system in controllable cases, that leaves the open loop equilibrium point unchanged. The linear state feedback controller design problem in the general case has also been formulated to ensure the compartmental property of the closed loop system from which the existence of a diagonal Lyapunov function follows. Further extension has been obtained by using the time re-parametrization transformation defined for quasi-polynomial models. © 2015

关键词： Mathematical transformations Biological systems Closed loop systems controllers Feedback control Linear transformations Lyapunov functions Phase space methods Polynomial approximation Predator prey systems State feedback Diagonal Lyapunov functions Linear state feedback Lotka Volterra models Lotka Volterra systems Nonlinear variables Phase space transformation Positive equilibrium Quasi poly nomial

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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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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

Globally stabilizing state feedback control design for Lotka...

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关键词： Closed loop systems

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Analyses of a General Multi-Capacity process Standard Form

Analyses of a General Multi-Capacity Process Standard Form

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第三十四届中国控制会议

作者： DENG Liang YANG Ping College of Automation Engineering Shanghai University of Electric Power Institute of Smart Grid Technology Shanghai University of Electric Power Shanghai Engineering Research Center of Intelligent Management and Control for Power Process Shanghai University of Electric Power

ISBN: (纸本)9789881563897

Standard form based design is a kind of simple and practical approach for the establishment of industrial *** a kind of general multi-capacity process(MCP) standard form, the non-overshoot theorem of the unit step and the unit ramp responses is proved via the calculation for the system responses under relevant excitations. To improve the empirical formula of the settling time of MCP standard form, the exact analytical relation between time constant and settling time is derived theoretically by means of Taylor's theorem and gamma cumulative distribution function. Finally, analyses on the dynamic performance of type-Ⅰ and type-Ⅱ MCP standard forms have demonstrated the non-overshoot characteristics and the proposed analytical expression of the settling time.

关键词： multi-capacity process,standard form,non-overshoot,settling time,time constant

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Analyses of a general multi-capacity process standard form 34

Analyses of a general multi-capacity process standard form

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34th Chinese control Conference, CCC 2015

作者： Liang, Deng Ping, Yang College of Automation Engineering Shanghai University of Electric Power Shanghai China Institute of Smart Grid Technology Shanghai University of Electric Power Shanghai China Shanghai Engineering Research Center of Intelligent Management and Control for Power Process Shanghai University of Electric Power Shanghai China

ISBN: (纸本)9789881563897

Standard form based design is a kind of simple and practical approach for the establishment of industrial controllers. To a kind of general multi-capacity process(MCP) standard form, the non-overshoot theorem of the unit step and the unit ramp responses is proved via the calculation for the system responses under relevant excitations. To improve the empirical formula of the settling time of MCP standard form, the exact analytical relation between time constant and settling time is derived theoretically by means of Taylor's theorem and gamma cumulative distribution function. Finally, analyses on the dynamic performance of type-I and type-II MCP standard forms have demonstrated the non-overshoot characteristics and the proposed analytical expression of the settling time. © 2015 Technical Committee on control Theory, Chinese Association of automation.

关键词： multi-capacity process non-overshoot settling time standard form time constant

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Robust output feedback NMPC with guaranteed constraint satisfaction

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IFAC-PapersOnLine 2015年第14期48卷 326-331页

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

关键词： Predictive control Robust control Output feedback Nonlinear control systems

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Robust tracking control design for a flexible air-breathing hypersonic vehicle

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Journal of Central South University 2014年第1期21卷 130-139页

作者：张垚鲜斌刁琛赵勃郭建川 Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.

关键词： hypersonic vehicles nonlinear robust control flexible mode small gain theorem Lyapunov

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Multi-pipeline System Scheduling under Demand Uncertainty

Multi-pipeline System Scheduling under Demand Uncertainty

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第26届中国过程控制会议（CPCC2015）

作者： Wang Jishuai Gu De Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences State Key Lab.of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University

In this paper, a discrete mathematical approach to solve scheduling of multi-pipeline systems for petroleum products under demand uncertainty is presented. To deal with the uncertainty, the conditional value-at-risk(CVAR) analysis is adopted as a risk measure. Firstly an improved scheduling approach is proposed to model the multi-pipeline system with the consideration of different pipeline segment sizes. The improved formulation is computationally intractable when pipeline segments have distinct capacities. Then the model takes a scenario-based approach to cope with uncertainty in a CVAR framework. Computational results are presented to demonstrate the effectiveness of the proposed approach. All the instances are implemented using CPLEX.

关键词： Multiproduct pipeline Scheduling MILP formulation Pump

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Online identification of multivariable nonlinear processes with iterative structure learning and application to a diesel engine 19

Online identification of multivariable nonlinear processes w...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Kowalczyk, Marek Yi, Boliang Isermann, Rolf Institute of Automatic Control and Mechatronics Laboratory of Control Engineering and Process Automation Technical University Darmstadt Germany

ISBN: (纸本)9783902823625

This contribution presents a new methodology for the online identification, which allows the modeling of the stationary and dynamic behavior of nonlinear combustion engines with many input and output variables in short time with an appropriate model structure. The used models are local polynomial model trees. The necessary enhancements and adaptations of the identification algorithm for local polynomial model trees for the online methodology are presented. To enable an online identification, not only the parameters but also the structure of the models has to be adapted to the ongoing measuring procedure at a test bench. This structure adaptation methods use iteratively recorded measured data for the determination of an optimized model partition and regressor selection regarding the quality and complexity of the model. This maximizes the iterative improvement of the mathematical model, leading to a reduced test bench time. The applicability of the developed methodology is shown for the identification of a model from both, an artificial test function as well as a real diesel engine. © IFAC.

关键词： Iterative methods

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