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Field weakening control of a linear torque controlled ipmsm drive

International Journal of Electrical engineering 2004年第3期11卷 255-264页

作者： Pan, Ching-Tsai Sue, Shinn-Ming Department of Electrical Engineering National Tsing Hua University Hsinchu300 Taiwan Chinese Institute of Engineer Chinese Institute of Electrical Engineering Chinese Institute of Automatic Control Engineering Chinese Institute of Computer Society China

A new field weakening control of a linear torque controlled interior permanent magnet synchronous motor (IPMSM) drive is proposed in this paper. The theoretical basis of the proposed field weakening control is first proposed and the corresponding analytical forms are also derived. The whole operational regions of an IPMSM are divided into three regions according to the motor speed. They are the constant torque limit region (Region I), the partial field weakening region (Region II), and the full field weakening region (Region III). However, only two control modes, namely the constant torque limit control mode and the field weakening control mode, are required. A region detector is proposed to choose the correct control mode efficiently according to the motor speed and the demanded torque. In addition, to fully use the maximum torque capability in the field weakening region, a variable line current magnitude limiter is also proposed to simplify the complexity of the control algorithm. Finally, the proposed control is implemented fully digitally by using a fixed point DSP TMS320F240 to simplify the hardware circuits and some experimental results are given to verify the effectiveness of the proposed linear torque control strategy over the field weakening region.

关键词： Torque

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LMI based output feedback control of discrete linear repetitive processes

LMI based output feedback control of discrete linear repetit...

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American control Conference (ACC)

作者： B. Sulikowski K. Galkowski E. Rogers D.H. Owens Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Department Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the relatively open problem of the design of physically based control laws. These results are for the sub-class of so-called discrete linear repetitive processes, which arise in applications areas such as iterative learning control.

关键词： Output feedback Linear feedback control systems Iterative algorithms Optimal control automatic control automatic generation control Stability analysis Vectors Linear systems control systems

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Robust color image retrieval for the World Wide Web

Robust color image retrieval for the World Wide Web

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： B. Smolka M. Szczepanski R. Lukac A.N. Venetsanoloulos Department of Automatic Control Silesian University of Technology Gliwice Poland The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada

The rapid growth of image archives increases the need for efficient and fast tools that can retrieve and search through a large amount of visual data. In this paper, we propose an efficient method of extracting the image color content, which serves as an image digital signature, allowing us to efficiently index and retrieve the content of large, heterogeneous multimedia Internet based databases. We apply the proposed method for the retrieval of images from the WEBMUSEUM Internet database, containing a collection of fine art images and show that the new method of image color representation is robust to image distorsions caused by resizing and compression and can be incorporated into existing retrieval systems which exploit the information on color content in digital images.

关键词： Robustness Color Image retrieval Web sites Information retrieval Content based retrieval Multimedia databases Internet Image databases Data mining

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Nonparametric technique of impulsive noise removal

Nonparametric technique of impulsive noise removal

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European Signal Processing Conference (EUSIPCO)

作者： B. Smolka S. Budzan A.N. Venetsanopoulos R. Lukac Department of Automatic Control Silesian University of Technology Gliwice Poland The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada

In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the new impulsive noise removal technique.

关键词： Vectors Estimation

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H/sub /spl infin// control of differential linear repetitive processes

H/sub /spl infin// control of differential linear repetitive...

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American control Conference (ACC)

作者： W. Paszke K. Galkowski E. Rogers D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Repetitive processes are a distinct class of two-dimensional systems (i.e., information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or two-dimensional (2D) systems theory. Here, we give new results on the relatively open problem of the design of physically based control laws using an H/sub /spl infin// setting. These results are for the sub-class of so-called differential linear repetitive processes, which arise in application areas such as iterative learning control.

关键词： Linear matrix inequalities Symmetric matrices State-space methods Vectors Stability Robust control Boundary conditions Sufficient conditions Differential equations control systems

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Weichted Least Squares Parameter Estimation for Model Predictive control of Integrated Wastewater Systems at Medium Time Scale

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IFAC Proceedings Volumes 2004年第11期37卷 273-279页

作者： Konarczak K Rutkowsld T Brdys M.A Gmiński T Department of Automatic Control Gdansk University of Technology ul.G. Nanttowicza 11 ¡2 80-952 Gdansk Poland School of Engineering Department of Electronic Electrical and Computer Engineering The University of Birmingham Birmingham B15 2TT UK

The paper presents formulation and implementation of Weighted Least Squares algorithm with moving measurement window for a grey box model parameters estimation purposes. The grey box of a biological reactor dynamics is used by Model Predictive controller to control integrated wastewater treatment system at medium time scale. The parameter estimation Weighted Least Squares algorithm is validated by simulation based on recently developed and calibrated model of integrated wastewater treatment system in Kartuzy, Poland.

关键词： Models waste treatment parameter estimation Least Squares Kaiman filtering biotechnology water pollution

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Supervisory control of Integrated Wastewater Treatment Systems

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IFAC Proceedings Volumes 2004年第11期37卷 257-264页

作者： M Grochowski M.A Brdys K Duzinkiewicz R Langowski Department of Automatic Control Gdansk University of Technology ul G. Narutowicza 11 12 80 9 52 Gdansk Poland School of Engineering Department of Electrical Electronic and Computer Engineering The university of Birmingham Birmingham B15 2TT UK

control of integrated wastewater treatment plant-sewer systems under full range of disturbance inputs enforces employing advanced optimising control algorithms. The control activities are hierarchically structured into a multilevel-multilayer form Model Predictive control is chosen as a core control technology. As it is impossible to handle sufficiently well all operating conditions of this system, the operating states of the system are distinguished and these are: normal, disturbed and emergency. Formulation of operational states requires introducing the concepts of the core and secondary objectives that divide the system objectives into obligatory and additionally ones. Different control trajectories are designed for corresponding operational states in order to best adopt control actions to current plant conditions. In order to effectively control such complex system the Supervisory Level (SuCL) is introduced. Its main functionality is: to coordinate activities of the control structure, to asses operational states of the system, to asses selection of the control strategies, to asses imposed control setpoints realisation and risk of not fulfilling the objectives. Paper describes units adjacent to SuCL that major function is to provide the information needed by the SuCL and decision making process.

关键词： Supervisory control decision making neural networks hierarchical control optimal control risk waste treatment

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Bounding Approach to Parameter Estimation without Priori Knowledge on Model Structure Error

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IFAC Proceedings Volumes 2004年第11期37卷 221-226页

作者： Tao Chang Kazimierz Duzinkiewicz Mietek Brdys Department of Electronic Electrical and Computer Engineering The University of Birmingham Birmingham B15 2TT UK Fax: +44 121 414 4291. Department of Control Engineering Faculty of Electrical Engineering and Automatic Control Gdansk University of Technology ul. G.Namtowicza 11 12 80-952 Gdansk Poland.

Parameter estimation of an autoregressive movmg average (ARMA) model is discussed in this paper by using bounding approach. Bounds on the model structure error are assumed unknown, or known but conservative. To reduce this conservatism, a point-parametric model concept is proposed, where there exist a set of model parameters and structure error corresponding to each input. Feasible parameter sets are defined for point-parametric model. Bounded values on the model parameters and structure error can then be computed jointly by tightening the feasible set using observations under deliberately designed input excitations. Finally, a constantly bounded parameter model is established, which can be used for robust control.

关键词： modelling errors bounding method parameter estimation uncertain dynamic systems robust control

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Set-Bounded Joined Parameter and State Estimation for Model Predictive control of Integrated Wastewater Treatment Plant Systems at Medium Time Scale

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IFAC Proceedings Volumes 2004年第11期37卷 755-760页

作者： T. Rutkowski M.A. Brdys K. Konarczak T. Gminski Department of Automatic Control Gdansk University of Technology ul. G. Narutowicza 11/12 80 952 Gdansk Poland School of Engineering Department of Electronic Electrical and Computer Engineering The University of Birmingham Birmingham B15 2TT UK

The paper describes set-bounded parameters and state estimation component for Model Predictive control of integrated wastewater treatment plant at medium time scale purposes. This is one of the components within Intelligent Hierarchical control Structure designed in order to cope with problems of the controlled system such us: multiple time scale, highly non linear dynamics, small number of on-line measurements etc. The set-bounded joined parameter and state estimation algorithm generates robust estimates of these parameters and state for Model Predictive control purposes. Both, the estimation algorithm and the Model Predictive controller utilise a grey-box model of controlled plant dedicated for medium time scale. The set-bounded joined state and grey-box model parameters estimation algorithm is validated by simulation. The data were taken partly from real data records gathered at Kartuzy WWTP in Poland and partly from the Kartuzy plant simulation based on recently developed and calibrated plant model.

关键词： biotechnology hierarchical control systems model predictive control robust control estimation algorithms bounding method uncertainty

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Softly Switched Model Predictive control for control of Integrated Wastewater Treatment Systems at Medium Time Scale

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IFAC Proceedings Volumes 2004年第11期37卷 251-256页

作者： M Grochowski M.A Brdys T Gminski P Deinrych Department of Automatic Control Gdansk University of Technology ul G. Narutowicza 11 12. 80 9 52 Gdansk Poland School of Engineering Department of Electrical Electronic and Computer Engineering The University of Birmingham Birmingham B15 2TT UK

Difficulties occur when one universal control strategy attempts controlling a plant that is under wide range of operating conditions. In order to best adopt the control strategy to existing conditions three operational states: normal, disturbed and emergency are distinguished and the corresponding control strategies are designed. Appearance of different control strategies at hand enforces finding a mechanism to switch between them. It can be done in a hard or a soft manner. In case of wastewater systems the second solution is preferable. The paper describes two methods of soft switching between control strategies based on Model Predictive control (MPC) as a control technology Supervisory control Level (SuCL) mounted at the top of hierarchical multilevel-multilayer control structure is responsible for the conducting the switching process. The switching instants, switching time and way of switching are parameters to be selected by the SuCL. The soft switching concepts were examined based on wastewater system in Kartuzy, Poland.

关键词： switching predictive control waste treatment optimal control supervisory control

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