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New Criteria of Reachable Set Estimation for Time Delay Systems Subject to Polytopic Uncertainties

IFAC Proceedings Volumes 2012年第13期45卷 231-235页

作者： Zhiqiang Zuo Yinping Chen Yijing Wang Michael Z.Q. Chen Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 P. R. China Department of Mechanical Engineering The University of Hong Kong Hong Kong

The problem of reachable set estimation for linear systems subject to both time delay and polytopic uncertainties is considered in this paper. Our aim is to find a set as small as possible to bound the states starting from the origin by inputs with peak values. The Lyapunov-Krasovskii functional together with free-weighting matrix technique are proposed to derive some sufficient conditions for the existence of an ellipsoidal bound to estimate the states. This method eliminates the conservatism generated by Jensen's inequality and obtains a much tighter reachable set bound. In addition, the number of variables to be determined is smaller than the previous result based on the maximal Lyapunov functional. Finally, an example illustrates the merits of our proposed results.

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A Tighter Reachable Set Bound for Linear Systems Subject to both Discrete and Distributed Delays

A Tighter Reachable Set Bound for Linear Systems Subject to ...

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IEEE Annual Conference on Decision and control

作者： Zhiqiang Zuo Youhua Fu Yijing Wang Chanying Li Michael Z. Q. Chen Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Academy of Mathematics and Systems Science Chines Academy of Sciences Department of Mechanical Engineering The University of Hong Kong

ISBN: (纸本)9781467320658

The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all the states starting from the origin by inputs with peak-values. The constraint with a special structure that appeared in our previous result is removed by combining the Jensen integral inequality and the reciprocally convex approach. In addition, the obtained condition brings a tighter reachable set estimation with lower computational complexity. We also extend the above result to systems with polytopic uncertainties. Finally, an example is presented to illustrate the merit of our proposed method.

关键词： delay distribution Linear system discrete element Ellipsoid complexity classes Bound Set (Psychology)

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Design and Implementation of nonlinear neural network controller based on simulator model in Damavand Tokamak

Design and Implementation of nonlinear neural network contro...

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第24届中国控制与决策会议

作者： H. Tolouei A. Kouhi H. Rasouli C. Rasouli Advanced Process Automation & Control Laboratory (APAC) faculty of Electrical Engineering Control department K.N. Toosi University of TechnologyTehran Iran Plasma Physics and nuclear fusion institute Institute of nuclear science and technology (AEOI)Tehran Iran.

In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial motion. To achieve this goal, actuator circuits are simulated and in consequence based on simulator model and simulated actuator circuits nonlinear neural network controller will be designed in Damavand Tokamak. Comparison between neural network controller output and PD controller output shows the efficiency of proposed approach.

关键词： Tokamak, Actuator circuits, nonlinear neural network controller, Gradient descent algorithm, Momentum algorithm.

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Takagi-Sugeno control of the Elevation Channel of A Twin-Rotor System Using Closed-Loop Empirical Data

Takagi-Sugeno Control of the Elevation Channel of A Twin-Rot...

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American control Conference

作者： Hamidreza Azimian Alireza Fatehi Babak N. Araabi Department of Mechanical and Materials Engineering The University of Western Ontario (UWO) London ON Canada Advanced Process Automation and Control (APAC) Research Group Industrial Control Center of Excellence Faculty of Electrical and Computer engineering K. N. Toosi University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781457710957

In this paper, design of Takagi-Sugeno controllers for a twin-rotor system from empirical data is addressed. First, identification of linear models using Prediction Error Method in the presence of nonlinear distortions and in feedback systems is revisited, and it is demonstrated that feedback nonlinear systems with an integral action can be locally represented by linear models rather than affine models. Moreover, it is demonstrated that how the consistency and unbiasedness of the identified models can be improved by proper design of the experiments. In order to ensure that the unmodeled contributions in the resulting piecewise linear model are sufficiently small, a criterion is proposed based on the small-gain theorem that can be used for unfalsification of the piecewise linear model. Finally, by taking advantage of the separation principle, design of fuzzy Takag-Sugeno state feedback and observer is formulated in terms of Linear Matrix Inequalities (LMIs). The implementation results on the actual system demonstrate significant improvements with respect to the initial controller and previous work on similar systems.

关键词： Nonlinear systems Closed loop systems Observers Uncertainty Data models Predictive models

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Digital imaging and piezo-dispenser actuator in automatic flocculation control

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Sensors and Transducers 2012年第1期136卷 83-95页

作者： Tomperi, Jani Honkanen, Markus Kallio, Pasi Leiviskä, Kauko Saarenrinne, Pentti Joensuu, Iiris Piironen, Marjatta Control Engineering Laboratory Department of Process and Environmental Engineering University of Oulu P. O Box 4300 FIN-90014 Finland Tampere University of Technology Department of Energy and Process Engineering P. O. Box 589 FIN-33101 Tampere Finland Tampere University of Technology Department of Automation Science and Engineering P. O. Box 692 FIN-33101 Tampere Finland Kemira Oyj Espoo R and D Center P. O. Box 44 FIN-02271 Espoo Finland

This study presents an image-based on-line control system for a coiled pipe flocculator. A digital imaging technique developed previously is utilized to measure the characteristic floc size and a high-pressure piezo-dispenser is introduced for accurate dosing and rapid mixing of the flocculant. The controller is a conventional PI controller. Step change experiments on feed water quality, flow rate and desired floc size have been carried out for controller tuning and testing. The paper shows that the piezo-dispenser provides better flocculation results than a conventional dosing pump, and the flocculation result can be automatically controlled even when the feed water quality rapidly changes. The proposed flocculator is a simple, inexpensive and practical system for long-term laboratory tests to investigate the functionality of flocculants on varying feed *** © 2012 IFSA.

关键词： Water treatment

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Improving copper matte grade control in a concentrate flash furnace

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IFAC Proceedings Volumes 2012年第23期45卷 13-18页

作者： Luis Bergh Iván Cornejo Fernando Romero Cristian Sulzer CASIM Automation and Supervision Centre for Mineral Industry Chemical Engineering Department Santa Maria University Valparaiso Chile (e-mail: luis.bergh@usm.cl) Process Control Manager Anglo American Chile Santiago Chile Chagres Division Anglo American Chile Santiago Chile

The copper matte grade (CMG) variation in a flash furnace depends on bath temperature, phase levels, ratio of oxygen to sulfur, iron and copper content on the feed, and tonnage ratio of silica flux and feed, among others. The CMG is obtained from laboratory analysis of samples taken when the matte is tapped out from the furnace. Then the CMG is known with a time delay of 1–2 hours, almost every one hour. Since feed characteristics usually change during this period, any feedback control of CMG cannot reduce enough the grade variability. On the other hand, it was shown that main disturbances are coming with the composite feed tonnage and composition, being the powder tonnage control system the main contribution. A new calibration system was proposed and implemented. During an evaluation period of 60 days, it was found that the standard deviation of the CMG was reduced in 25%. This improvement can be explained considering two effects. First, the stabilization of the total feed tonnage that affect the mass balance in the furnace. Second, even when the powder tonnage is only 7% of the total tonnage, its special chemical composition contributed to increase the copper content in the matte. The stabilization of the furnace operation also improved the phase separation, as well as reduced the variance of the gas SO 2 composition and flow rate. The operators took advantage of this reduced variability to increase the fusion rate and thus the mean generated gas flow rate in the furnace, without violating the plant constraints. One important conclusion is that this result will permit to increase the average value of CMG, when the development of the virtual sensor of feed composition is completed and when this estimation becomes part of a FF-FB control.

关键词： flash furnace control industrial data pyrometallurgy

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Distributed ANNs in a layered architecture for energy management and maintenance scheduling of renewable energy HPS microgrids

Distributed ANNs in a layered architecture for energy manage...

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International Conference on Advances in Power Conversion and Energy Technologies (APCET)

作者： Y Jaganmohan Reddy Y V Pavan Kumar V Sunil Kumar K Padma Raju Process Solutions-Automation & Control Solutions Honeywell Technology Solutions Lab (Pvt) Ltd Hyderabad India Engineering Test Services-Aerospace Honeywell Technology Solutions Lab (Pvt) Ltd Hyderabad India Department of Electronics and Communication Engineering Jawaharlal Nehru Technological University Kakinada (JNTUK) Kakinada India

With increasing research on the field of alternative energy resources for sustainable development, more renewable energy sources are getting penetrated to the distributed network to form “microgrid”. This leads to more complexity in the distribution network in terms of energy management and realtime control. The objective of this paper is to design a system that forecasts the short (daily), medium (seasonal) and long term (yearly) load demand and the availability of energy resources at the microgrids. For scheduling the storage and transaction of electrical energy between neighboring microgrids, an energy management system (EMS) is designed. The EMS makes use of the forecasted data and real time data all together for managing an array of interconnected microgrids. The seasonal and yearly forecaster for a geographical boundary helps in maintenance scheduling and long term infrastructure development plan respectively. Recently, Artificial Neural Network (ANN) is found as a promising tool for statistical forecasting in real time applications. Hence, this paper makes use of ANN feature to forecast both load and availability of energy resources at microgrids in different scenarios like daily, seasonal, and yearly. The layered ANNs architecture is developed and trained with Levenberg-Marqurardt Back Propagation Algorithm. The entire design is simulated in MATLAB/Simulink. The proposed concept can be used in today's real time energy infrastructure to prevent future energy crises with improved reliability and smooth coordination among microgrids located at different areas.

关键词： Wind forecasting Artificial neural networks Wind speed Maintenance engineering Energy management Solar radiation

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Predictive control of convex polyhedron LPV systems with Markov jumping parameters

Predictive control of convex polyhedron LPV systems with Mar...

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Chinese control and Decision Conference, CCDC

作者： Yanyan Yin Fei Liu Peng Shi Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter varying system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficients matrices for the time variable system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic convex polyhedron linear parameter varying systems, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, receding horizon predictive controller is designed in terms of linear matrix inequality for such system. Simulation example shows the validity of this method.

关键词： Markov processes Predictive control Equations Educational institutions Programming Symmetric matrices

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Gain-Scheduled H-infinity Observer Design for Nonlinear Stochastic Systems with Time-Delay and Actuator Saturation

Gain-Scheduled H-infinity Observer Design for Nonlinear Stoc...

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American control Conference

作者： Yanyan Yin Peng Shi Fei Liu Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi Jiangsu 214122 P. R. China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

ISBN: (纸本)9781457710957

In this paper, we propose a method for designing continuous gain-scheduled robust H_∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient linearization procedure is applied to describe such extended nonlinear systems into several model-based linear systems. Next, a robust linear H_∞ observer is designed to such linear stochastic models. Subsequently, a convex hull set is investigated and sufficient condition is derived in terms of feedback observer to determine whether a given initial condition belongs to an ellipsoid invariant set. Finally, continuous gain-scheduled approach is employed to design continuous nonlinear observers on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

关键词： Nonlinear stochastic system time delay Observers actuators system clock INITIAL CONDITIONS Nonlinear systems

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Estimation of atmospheric 3rd line diesel oil solidifying point via adaptive kernel based relevance vector machine

Estimation of atmospheric 3rd line diesel oil solidifying po...

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作者： Tao, Yong Jiang, Yongheng Huang, Dexian Institute of Process Control Engineering Department of Automation Tsinghua Univ. Beijing 100084 China

Atmospheric 3rd line diesel oil solidifying point is an important quality index, which cannot be measured in real time, in petroleum industry. Due to the great nonlinear characteristic of distillation columns, common statistic methods, such as PCR and PLS, based on linear projection, are not able to estimate such a quality index effectively. In this paper, Adaptive kernel based Relevance Vector Machine (aRVM) is introduced to build a nonlinear soft sensor model. This soft sensor is then applied to a real solidifying point estimation experiment, with comparison to other nonlinear models such as KPLS, SVM and typical RVM. The result reveals that aRVM shows better performance than KPLS, SVM and models a much sparser representation than SVM and typical RVM. © 2011 Zhejiang University.

关键词： Petroleum industry

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