This paper proposes a method to design an optimal fuzzy controller (OFC) for excitation control of synchronous generators. The design is based on optimizing a number of parameters involved in the fuzzy and defuzzifica...
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This paper proposes a method to design an optimal fuzzy controller (OFC) for excitation control of synchronous generators. The design is based on optimizing a number of parameters involved in the fuzzy and defuzzification process directly. A population diversity based genetic algorithm (PDGA) is derived to solve this multi-parameter optimization problem. The new method has been used to design an optimal fuzzy excitation controller for synchronous generator, satisfactory results are obtained.
Despite the significant progress observed during the nineties, computer-aidedcontrolsystemdesign in large power systems remains in its infancy, especially when due account is to be given to wide-area interactions. ...
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Despite the significant progress observed during the nineties, computer-aidedcontrolsystemdesign in large power systems remains in its infancy, especially when due account is to be given to wide-area interactions. Furthermore, the recent catastrophic breakups in the WSCC have increased concern about better robustness and enhanced coordination of multiple-system damping controllers so as to maximize the reliability benefits of large-scale control. This paper reports on our experience with a toolbox specifically developed to fulfill these needs. It significantly alleviates the burden of tuning many damping controllers simultaneously, considering several practical factors such as the large size of actual bulk power systems, the complicated information pattern involved in multiple-control scenarios and the effective use of flexible controller architecture to achieve robustness. The toolbox is an attempt by Hydro-Quebec to apply to its many routine and advanced control problems the more rigorous model-based design approach so familiar to a controlsystem engineer but so difficult to apply on a bulk power system without a supporting computer-aided environment.
Time optimal control of nonlinear systems is considered. To find the optimal horizon, a sequence of fixed-horizon problems of minimizing an auxiliary cost functional is solved by gradient methods, with the use of adjo...
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Time optimal control of nonlinear systems is considered. To find the optimal horizon, a sequence of fixed-horizon problems of minimizing an auxiliary cost functional is solved by gradient methods, with the use of adjoint trajectories. Basically, the control switching times are decision variables. The proposed computational methods of search for optimal horizon are based on an estimation-continuation strategy. The approach proved effective in the case of a cart-pendulum system.
This paper develops a multi-objective evolutionary based methodology for controlsystemdesign automation of robust tracking thumbprint performances in QFT. Unlike conventional two-stage design approach, the technique...
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This paper develops a multi-objective evolutionary based methodology for controlsystemdesign automation of robust tracking thumbprint performances in QFT. Unlike conventional two-stage design approach, the technique is capable of evolving both nominal controller and pre-filter concurrently without the need of QFT bound computation and manual loop shaping procedure. It is shown that the method can easily accommodate practical soft/hard constraints and allows engineers to examine the different design trade-offs. Validation upon a benchmark QFT design problem illustrates the usefulness of the proposed methodology.
Economic input-output analysis is regarded as one of the popular method for empirical analysis of economic phenomena, especially such analysis of interdependence of industries. In this field, it is necessary to use so...
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Economic input-output analysis is regarded as one of the popular method for empirical analysis of economic phenomena, especially such analysis of interdependence of industries. In this field, it is necessary to use some computer software with following features;1) ability of large scale computation of matrices, 2) easy modification by programming, 3) various library functions for input-output analysis, 4) acceptability of various formats of data, 5) good user interface. In this study, we shall try to develop MaTX for IO to satisfy these features.
The problem of H∞ control of linear, continuous, time-invariant systems with delayed measurements is considered. A frequency domain approach is adopted to find a dynamical output-feedback controller that processes th...
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The problem of H∞ control of linear, continuous, time-invariant systems with delayed measurements is considered. A frequency domain approach is adopted to find a dynamical output-feedback controller that processes the delayed measurements and achieves a prescribed performance level. The controller is derived by applying two recent H∞ control methodologies, namely, H∞ control based on delayed state measurements, and robust output-feedback H∞ control using state-feedback methods.
A three-dimensional graphic library, a graphic user interface library and its structure mode for MaTX/RtMaTX on Win32 are introduced. They are developed for the following purpose: to provide a visual and interactive m...
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A three-dimensional graphic library, a graphic user interface library and its structure mode for MaTX/RtMaTX on Win32 are introduced. They are developed for the following purpose: to provide a visual and interactive man-machine interface for MaTX/RtMaTX, to give the 3 dimensional graphics for visually grasping the state of the dynamical system, and to unify the plant information including dynamics and appearance. A controlsystem based on these libraries for existing 3DOF manipulator is presented, in which action commands are presented as a menu of window, and the current posture of the manipulator is displayed as a 3 dimensional figure while dynamical simulation or a real-time control is executed.
This paper addresses the problem of real-time generation of near-optimal trajectories for air vehicle descent/landing on aircraft carriers in flight director assisted or automatic mode. The problem solved by parameter...
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This paper addresses the problem of real-time generation of near-optimal trajectories for air vehicle descent/landing on aircraft carriers in flight director assisted or automatic mode. The problem solved by parameterizing a certain class of near-optimal trajectories for a finite number of representative maneuvers. The parameterized set of solutions can then be used as zero-order approximations for real-time refinement of near optimal solutions corresponding to maneuvers not included in the initial parameter set.
This paper describes a component-based modeling approach for diagnosing process-controlsystems. Our approach allows users to build diagnostic models for complex process-controlsystems based on a library of component...
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This paper describes a component-based modeling approach for diagnosing process-controlsystems. Our approach allows users to build diagnostic models for complex process-controlsystems based on a library of component models. Process-controlsystems are modeled in the form of causal networks and diagnoses are generated using a model-based diagnostic technology. We present our software tools for component-based model building and causal networks diagnostics.
The polynomial equation approach of Kucera (1979), for the solution of unilateral and bilateral Diophantine equations, is implemented in a symbolic computing system (MapleV) in this paper. Procedures were developed to...
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The polynomial equation approach of Kucera (1979), for the solution of unilateral and bilateral Diophantine equations, is implemented in a symbolic computing system (MapleV) in this paper. Procedures were developed to solve unilateral and bilateral Diophantine equations. This algebraic implementation would have been extremely difficult to carry out in a strict numeric computing environment. The use of MapleV has provided symbolic results quickly and efficiently, with a tremendous gain in time and with minimal effort.
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