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Adaptive generalized predictive decoupling control for a class of MIMO nonlinear systems based on unmodeled dynamic compensation

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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2012年第2期29卷 157-166页

作者： Zhang, Ya-Jun Chai, Tian-You Wang, Hong Niu, Hong The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang Liaoning 110004 China Research Center of Automation Northeastern University Shenyang Liaoning 110004 China The Control Systems Centre School of Electrical and Electronic Engineering University of Manchester M60 1QD United Kingdom Institute of System Science Northeastern University Shenyang Liaoning 110004 China

For a class of uncertain multi-input-multi-output (MIMO) discrete-time nonlinear systems with strong coupling and unstable zero-dynamics, an adaptive generalized predictive decoupling switching control method based on unmodeled dynamic compensation is proposed. It is only required that the higher order nonlinear terms of the system to satisfy a linear growth condition, rather than the global boundedness condition widely used. The analysis of stability and convergence of the adaptive control method are performed. Moreover, in designing the nonlinear generalized predictive decoupling controller, we combine the adaptive-network-based fuzzy inference system (ANFIS) training with the "one-toone mapping" technique to adaptively estimate the unmodeled dynamics, so that the universal approximation property of ANFIS can be guaranteed. Finally, simulation results demonstrate the superiority of the proposed method and validate the theoretical analysis.

关键词： Nonlinear systems

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Determining biochemical reaction network structures for kinetic polynomial models with uncertain coefficients

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AIP Conference Proceedings 2012年第1期1479卷 2427-2430页

作者： Gábor Szederkényi Z. A. Tuza Katalin M. Hangos Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences. Kende u. 13-17 H-1111 Budapest Hungary and Faculty of Information Technology Pázm Hungary Faculty of Information Technology Pázmány Péter Catholic University Práter u. 50/a H-1083 Budapest Hungary Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences. Kende u. 13-17 H-1111 Budapest Hungary and Dept. of Electrical Engineering and Informatio Hungary

A numerical method is proposed in this paper for the computation of dense and sparse reaction network structures for kinetic polynomial models with uncertain parameters represented as intervals. The problem is traced ...

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Emission model structures for an implementation on engine control units

Emission model structures for an implementation on engine co...

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作者： Sequenz, Heiko Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University Darmstadt Germany

ISBN: (纸本)9783902661937

The number of model-based approaches in modern engine control units (ECUs) increases permanently with the increase of engine complexity. Therefore the efficient storage and the fast computation of these models is a challenging task. Due to their fast computation properties most ECUs utilize 2-dimensional grid map structures. Higher dimensional relations need then to be mapped with nested structures of several 2-dimensional grid maps. The determination of suited structures is a time-consuming task and the number of utilized 2-dimensional grid maps may be large for higher dimensional relations. Therefore in the following a grid map structure, a LOLIMOT structure, a Kernel method and an adaptive polynomial approach are compared with respect to model accuracy, computation time and required memory. Conclusions about the implementation on state of the art ECUs are given. As model output the NOx emissions of a DTH Z19 Opel CR-Diesel engine with VGT-turbocharger and exhaust gas recirculation are regarded. Model structures are presented for a global model approach comprising the engine operation point as input, and for a global-local approach predicting the output by weighting local models. © 2011 IFAC.

关键词： Exhaust gas recirculation

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Output feedback control of hypersonic vehicles based on neural network and high gain observer

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Science China(Information Sciences) 2011年第3期54卷 429-447页

作者： LI XinDong,XIAN Bin,DIAO Chen,YU YanPing,YANG KaiYan & ZHANG Yao The Tianjin Key Laboratory of process Measurement and control,School of Electrical engineering and automation,Tianjin University,Tianjin 300072,China 1. The Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

In this paper,the output feedback control problem for a genetic hypersonic vehicle is considered under the restriction that only the vehicle’s velocity and altitude are measurable. High gain observers (HGO) are utilized to provide estimation signals for unmeasurable derivatives of the vehicle’s velocity and altitude. Neural network based feedforward function is designed to compensate for model uncertainties. The proposed control design require less knowledge of the hypersonic vehicle’s dynamic model. A comprehensive stability analysis of the closed loop system under the output feedback control is carried to prove that the proposed control law yields semiglobal uniformly ultimately bounded tracking while keeping all the closed loop signals bounded. Numerical simulation results are presented to validate the proposed control design.

关键词： hypersonic vehicle nonlinear output feedback control neural network high gain observer

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Model based optimisation of a step in acceleration for a CR-Diesel engine

Model based optimisation of a step in acceleration for a CR-...

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作者： Sequenz, Heiko Mrosek, Matthias Zydek, Simon Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University Darmstadt Germany

ISBN: (纸本)9783902661937

Due to more and more stringent emission regulations the optimisation of transient engine operation becomes necessary for future Diesel engine developments. Exemplary for the transient operation a step in acceleration pedal is investigated and optimised with respect to the engine emissions. This gives insights about the emission formation at transient driving and a benchmark for the design of open and closed-loop controls. A model structure to simulate the engine emissions and the engine torque is presented. It consists of a dynamical mean value air path model and a stationary combustion model. Thus the relevant outputs NOx, soot and torque are simulated with respect to the engine actuators. For optimisation the calibrated emission values for steady state are regarded. The actuators of the air path and the crank angle of the main injection are optimised such that the emissions follow a desired trajectory. The results are compared to a non-optimised step in acceleration and to a nonlinear closed loop control of the air path. © 2011 IFAC.

关键词： Diesel engines

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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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Electric eddy current pick-up of turbine flow sensor and CPLD nonlinearity correction

Electric eddy current pick-up of turbine flow sensor and CPL...

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2011 International Conference on Electric Information and control engineering, ICEICE 2011

作者： Zhai, Wei-Qiang Sun, Li-Jun Liu, Xi-Bao Zhang, Tao School of Electrical Engineering and Automation Tianjin University Tianjin Key Laboratory of Process Measurement and Control China

ISBN: (纸本)9781424480395

The force due to electromagnetic pick-up can affect the performance of small pipeline turbine flow sensor. Based on electric eddy current, a new pick-up was designed for eliminating the effect of reluctance torque in traditional pick-up. The range ability of DN4mm, DN6mm and DN10mm turbine flow sensor were expanded to 101. The reliability of nonlinearity correction by software is not fully guaranteed as it was applied in bad work condition. In order to solve the problem, a method of nonlinearity correction by hardware, is that Complex Programmable Logic Device (CPLD), was put forward. It was shown by turbine flow sensor prototype experiment with electric eddy current pick-up combining CPLD hardware nonlinearity correction. DN4mm, DN6mm and DN10mm turbine flow sensor obtain the linearity 0.32%, 0.26%and 0.32% respectively in the range ability of 101. © 2011 IEEE.

关键词： Logic devices

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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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Experimental research of averaging pitot tube flow sensors with Flow Conditioning Wing

Experimental research of averaging pitot tube flow sensors w...

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2011 International Conference on Electric Information and control engineering, ICEICE 2011

作者： Zhang, Limin Sun, Lijun Qi, Lixiao School of Electrical Engineering and Automation Tianjin University Tianjin Key Laboratory of Process Measurement and Control Tianjin China

ISBN: (纸本)9781424480395

Cross-section shape of Averaging Pitot Tube (APT) flow sensor probe is a determinant factor in meter performance. In order to improve the performance of APT flow sensor, the experimental research of APT flow sensor with Flow Conditioning Wing (FCW) was carried out at the water flow standard facility in Tianjin University, and compared with the cross-sections of circle, diamond and Delta Bar. Shown by the experimental data, the linearity error, the meter factor and the repeatability error of FCW cross-section are close to 0.5%, 0.55 and 0.1% respectively, which are better than the other cross-section shapes. The measuring precision is improved. © 2011 IEEE.

关键词： Flow of water

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Simulation of sensing field for electromagnetic tomography system

Simulation of sensing field for electromagnetic tomography s...

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2011 International Conference on Electric Information and control engineering, ICEICE 2011

作者： Yan, Fu Dong, Feng Chao, Tan Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China

ISBN: (纸本)9781424480395

Electromagnetic tomography has potential value in process measurement. The frontier of electromagnetic tomography system is the sensor array. Owing to the excited signal acting on the sensor array directly, the excited strategy and the frequency and amplitude of the signal affect the quality of the information that the detected coil acquired from the object space. Furthermore, it would affect the accuracy of the information post extracted from the object field. To improve the sensitivity of the sensor array on the changes of the object field distribution, upgrade the sensitivity and accuracy of the system and guarantee high precision and high stability of the experimental data, use the finite element simulation software COMSOL Multiphysics to analyze the excited strategy and the characteristic of the excitation frequency of electromagnetic tomography. Establish the foundation in optimal using of electromagnetic tomography system. © 2011 IEEE.

关键词： Computer software

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