Support vector machine (SVM) based classification is applied to fault diagnostics of an electrical machine. Numerical magnetic field analysis is used to provide virtual measurement data from healthy and faulty operati...
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Support vector machine (SVM) based classification is applied to fault diagnostics of an electrical machine. Numerical magnetic field analysis is used to provide virtual measurement data from healthy and faulty operations of an electric machine. Power spectra estimates of a stator line current of the motor are calculated with Welch's method, and SVMs are applied to distinguish the healthy spectrum from faulty spectra. Multiple SVMs are combined with a majority voting approach to reconstruct the final classification decision.
controller performance assessment is a challenging task in industrial processcontrol. In this work, we review the state of research in controller performance assessment and monitoring, and present some commercial imp...
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controller performance assessment is a challenging task in industrial processcontrol. In this work, we review the state of research in controller performance assessment and monitoring, and present some commercial implementations of the technology in process industries. Challenges related to the controller performance evaluation are outlined for research and applications.
Distillation columns constitute a significant fraction of the capital invested in the refineries around the world; their control requires a major part of the total operating cost of chemical processes, if the used str...
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Distillation columns constitute a significant fraction of the capital invested in the refineries around the world; their control requires a major part of the total operating cost of chemical processes, if the used strategy is not adequate. This article presents the application of optimal fuzzy control to reduce the energy consumption of a Benzene-Toluene distillation column. This method is based on the determination of the specific values of the fuzzy controller parameters such that certain performance criterion is minimised. Results of a simulation study are presented showing the potential improvement offered by this method.
A design method for determining control sequences for rest-to-rest maneuvers of flexible structures with multiple actuators and multiple resonant modes is described. The problem formulation. is based on a pole cancell...
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A design method for determining control sequences for rest-to-rest maneuvers of flexible structures with multiple actuators and multiple resonant modes is described. The problem formulation. is based on a pole cancellation approach with constraints on both the magnitude and the time rate of change of the control inputs. Time-optimality can be traded for an increased level of robustness with respect to modeling errors. Robustification is achieved by placing additional zeros of the controller on some or all of the resonant poles of the system.
Images acquired by different methodologies are fused to achieve more accurate information and a comprehensive understanding about the objects. With an increasing number of sensors involved, the signal acquisition and ...
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This paper presents fuzzy identification of two bioprocesses employing TSK-type models. A “Modified Gram-Schmidt” (MGS) orthogonal estimator is used to estimate the consequent parameters. This approach is then appli...
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This paper presents fuzzy identification of two bioprocesses employing TSK-type models. A “Modified Gram-Schmidt” (MGS) orthogonal estimator is used to estimate the consequent parameters. This approach is then applied to identify two distinct cases involving dissolved oxygen concentration: one related to a bioreactor and the other one related to an activated sludge process. The obtained models are then cross-validated.
A hybrid neuro-fuzzy scheme for the online tuning of a genetic based proportional-integral (PI) controller for interior permanent magnet synchronous motor (IPMSM) drives is presented in this paper. The proposed contro...
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A hybrid neuro-fuzzy scheme for the online tuning of a genetic based proportional-integral (PI) controller for interior permanent magnet synchronous motor (IPMSM) drives is presented in this paper. The proposed controller is developed for accurate speed control of the IPMSM drive under various system disturbances. In this work, initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition, a genetic algorithm (GA) is used to optimize the PI controller parameters in a closed loop vector control scheme. In the optimization procedure, a performance index is developed to reflect the minimum speed deviation, minimum settling time and zero steady-state error. A fuzzy basis function network (FBFN) is utilized for online tuning of the PI controller parameters to ensure optimum drive performance under different disturbances. The proposed FBFN based PI controller provides a natural framework for combining numerical and linguistic information in a uniform fashion. The proposed controller is successfully implemented in realtime using a digital signal processor board DS 1102 for a laboratory 1 hp IPMSM. The efficacy of the proposed controller is verified by simulation as well as experimental results at different dynamic operating conditions. The proposed controller is found to be robust for applications In IPMSM drive.
In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations ...
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In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations of these systems are derived. Finally, it is shown that controllability of the original systems can be determined by that of the subsystems, which are obtained through isomorphic decomposition. The corresponding sufficient and necessary conditions are given. Two new theoretical results have been proved.
Usually, the maximally permissive control of Petri nets with an OR-logic constraint is difficult to implement. In this paper, OR-logic is easily enforced using a colored Petri net. A colored Petri net place, named col...
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Usually, the maximally permissive control of Petri nets with an OR-logic constraint is difficult to implement. In this paper, OR-logic is easily enforced using a colored Petri net. A colored Petri net place, named colored monitor place, is designed to monitor the states of constraints. A so-called guard function of colored Petri nets that maps certain transitions into a Boolean expression is suitably defined on the colored sets. The maximally permissive control is then obtained via the guard function. In addition, a constraint transformation method for marked graphs with uncontrollable transitions is proposed.
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