A new technique for control system design based on the Optimal Constrained Covariance control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers publishe...
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A new technique for control system design based on the Optimal Constrained Covariance control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers published so far the controller gain matrices were detennined using the classical Linear Quadratic Gaussian (LQG) optimal control technique, the pole-placement technique and characteristic locus design method. The main disadvantage of these techniques is their poor correspondence with the real performance requirements of control system. Using the proposed technique this disadvantage is avoided. The results of computer simulation using OC 3 control are presented.
The paper considers the problem of stabilizing large scale dynamic systems (LSS) via decentralized controllers based on Variable Structure Systems (VSS) and using the principle of dominant subsystems. The principle an...
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The paper considers the problem of stabilizing large scale dynamic systems (LSS) via decentralized controllers based on Variable Structure Systems (VSS) and using the principle of dominant subsystems. The principle and applications for LSS are described and simulation test results on a two- machines power system with nonlinear model are presented.
作者：
M. HubaSlovak Technical University
Department of Automation and Control Faculty of Electrical Engineering and Information Technology SK-812 19 Bratislava
This paper deals with the pole assignment controller design under consideration of the control signal saturation. The controller synthesis developed for the double integrator plant is based on the decomposition of the...
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This paper deals with the pole assignment controller design under consideration of the control signal saturation. The controller synthesis developed for the double integrator plant is based on the decomposition of the 2nd order dynamics into two particular 1st order movements witch enables, together with the newly introduced geometrical interpretation of closed loop poles, an easy handling of saturation effects and yields a simlpe explicite controller fully respecting the given saturation limits. So, the specification of the closed loop poles can be made quite indipendently from the saturation effect, i.e. they only have to respect different parasitic effects like quantization and measurement noice, neclected dynamics, etc. It gives to the designer a new “degree of freedom” in comparing with the “linear” pole assignment controllers, where this choice has to take into account also the allowed control signal amplitudes.
Some techniques for the stability analysis of the control system with fuzzy logic controller are presented. The techniques are based on classical methods and they require the fuzzy controller, satisfying the sector co...
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Some techniques for the stability analysis of the control system with fuzzy logic controller are presented. The techniques are based on classical methods and they require the fuzzy controller, satisfying the sector condition. The structure of fuzzy controller, satisfying this requirement is proposed. For this controller, the analytical dependence between the stability margin and controller parameters is developed and the technique for tuning the controller parameters is also developed. The analogy with switching curve is used to tune the remaining degrees of freedom of the controller. The method is documented on a d.c. velocity servosystem.
作者：
M. SedláčekSlovak Technical University
Faculty of Electrical Engineering Department of Automation and Control 3 Ilkovičova St. Bratislava 812 19 Slovak Republic
There are presented some methods for the stability analysis of the control system with fuzzy logic controller. The methods are based on classical methods and they require fuzzy logic controller, satisfying the sector ...
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There are presented some methods for the stability analysis of the control system with fuzzy logic controller. The methods are based on classical methods and they require fuzzy logic controller, satisfying the sector condition. The necessary structure of fuzzy controller, satisfying this requirement is proposed. For this controller, the method for tuning the controller parameters is developed. The method is based on stability analysis and guarantees the stability of the system. The analogy with switching curve is used to tune the remaining degrees of freedom of the controller. The method is documented on a d.c. velocity servosystem.
作者：
Marshall, D.A.Venter, F.P.van Wyk, J.D.Dr. Dirk Adriaan Marshall (1960) is an Industrial Research fellow with the Energy Laboratory at the Rand Afrikaans University
Johannesburg/RSA. He is employed by Eskom (National Electric Company RSA) in the Transmission Engineering Division where his corporate responsibility includes high voltage direct current transmission and voltage quality. He obtained the 8. Eng. M. Eng. and D. Eng degrees in 1983 1985 and 1990 respectively from the Rand Afrikaans University. He was co-recipient of one IEEE Prize Paper Award. (Transmission Engineering Division Megawattpark P.O. Box 1091 Johannesburg 2000 Republic of South Africa T +2711/800-3250 Fax +27 11/800-2779) Frederik Petrus Venter (1966) received the B. Eng. and hit. Eng. degrees from the Rand Afrikaans University Johannesburg/RSA
in 1989 and 1991 respectively. He has at present submitted a Thesis for the D. Eng. degree at the same University. His field of interest includes power electronic applications in high voltage networks and Active Power Filtering. He was co-recipient of one IEEE Prize Paper Award. (Rand Afrikaans University Laboratory for Energy P.O. Box 524 Johannesburg 2000. Republic of South Africa T + 2711/489-2454 Fax + 2711/489-2466) Dr. Jacobus Daniel Van Wyk (1939) received the M. Sc. Eng. degree from the University of Pretona/RSA
and the degree of Doctorate of Technical Science from the University of Technology Eindhovenmhe Netherlands in 1966 and 1969. He has worked with the S.A. Iron and Steel Corporation. the University of Pretoria and was on the technical and scientific staff of the University in Eindhoven. between 1961 and 1972. From 1971 to the present he has been a Full Professor of Electrical and Electronic Engineering at the Rand Afrikaans University Johannesburg/RSA at present holding a chair in Power Electronics and has been involved in extensive industrial work. He is at present Programme Director of the Electronic Power Control Research Group in the Energy Laboratory of the Faculty of Engineering. Since 1976 he
The development of theoretical techniques for the instantaneous calculation of load current components is evaluated. The associated instantaneous calculation of load power components is also evaluated since it is used...
New type of predictive controllers for saturating systems is described. It relies on an analytical approximation of the controlled process by the I 2 -model. The closed-loop behavior may be prescribed by means of refe...
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New type of predictive controllers for saturating systems is described. It relies on an analytical approximation of the controlled process by the I 2 -model. The closed-loop behavior may be prescribed by means of reference trajectories defined as optimal braking trajectories of the actual model as well as by choosing a time horizon for matching with these trajectories. The method essentially improves features of classical relay minimum time systems. It enables to modify their behavior in a similar way as using the pole assignment method and so to achieve a desired degree of robustness against structural and state perturbation. Taking into account saturation limits and parasitic time lags makes the task of tuning controller transparent and reliable which is illustrated by the example of positional servo control
The method for adjustment of fuzzy controller parameters is presented. In fuzzy control to he control signal s are generated by an appropriate inference mechanism from the linguistically expressedrule base. To refine ...
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The method for adjustment of fuzzy controller parameters is presented. In fuzzy control to he control signal s are generated by an appropriate inference mechanism from the linguistically expressedrule base. To refine the parameters of the rules it is necessary to have either a thorough insight into the dynamics of the overall system or to develop an appropriate adaptation mechanism. Such mechanism with Kohonen neural network like structure is presented and documented on the example of motion control system.
The fuzzy logic controller for the velocity d.c. servo system was designed. It was shown, that the system can successfully deal with the nonstationary moment of inertia and load torque and with the influence of flexib...
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The fuzzy logic controller for the velocity d.c. servo system was designed. It was shown, that the system can successfully deal with the nonstationary moment of inertia and load torque and with the influence of flexible gearbox. The practical concept of implementation using the unique transfer function and a look-up-table of coefficients was introduced. Such method is simple and has low computational requirements.
Robustness properties of non-companion representation of linear systems, studied using a criterion due to contribution of Drcuzenouic 1969, are retained to a limited extent only. Hajor drawback of this approach, utili...
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Robustness properties of non-companion representation of linear systems, studied using a criterion due to contribution of Drcuzenouic 1969, are retained to a limited extent only. Hajor drawback of this approach, utilizing the facilitating fact of B(CB)^C being a projector such that disturbances or parameter variations belong to the range space of input matrix B, is that the extent of the robustness is not determined. In this paper, quantitative measures are introduced for assessing the extent of lack of robustness. Method is based on singular value analysis of closed-loop state matrix F in sliding mode introducing the simple stability criteria.
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