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Synchronous Generator Parameter Estimation Using Pseudo-Inverse Method in Hybrid Domain
2007 IEEE International Symposium on Industrial Electronics, 2007This paper presents an efficient alternative method to estimate synchronous generators parameters using real time operating data. The main idea considers the use of hybrid legendre block-pulse functions for fitting measured input-output synchronous generator signals.
H.R. Radmanesh +2 more
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Feedback regulator design for synchronous generators using inverse optimal control theory
IFAC Proceedings Volumes, 1977Summary The paper presents results of application of two new feedback control laws in a synchronous generator connected to an infinite bus. The first law is linear in the generator state and achieves minimization of a quadratic performance index and at the same time ensures that the poles of the controlled generator are placed at pre-specified ...
J.K. Pal, A.K. Mahalanabis
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Nonlinear Inverse Modeling of Synchronous Generator Based on Improved Resource Allocating Networks
2009 Second International Conference on Intelligent Computation Technology and Automation, 2009Synchronous generator inverse modeling is the basis of inverse control, analysis and design in the power systems. According to the strong nonlinear characteristics of synchronous generator, an inverse modeling method based on improved resource allocating networks (RAN) is presented in this paper.
Fumin Ma, Tengfei Zhang, Weijie Niu
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A synchronous generator stabilizer design using neuro inverse controller and error reduction network
IEEE Transactions on Power Systems, 1996A neuro power system stabilizer (PSS) is developed for multimachine power systems. Each machine is identified in its inverse relation by an artificial neural network (inverse dynamics neural network (IDNN)) offline, which is used as a local inverse controller.
null Young-Moon Park +2 more
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IEEE Transactions on Industrial Informatics, 2013
This paper proposes a new decoupling control for permanent magnet synchronous motor (PMSM) in which both the support vector machine generalized inverse (SVMGI) and the internal model control (IMC) are employed. By introducing the SVMGI systems into the original PMSM system, a new pseudo-linear system is developed. Moreover, based on the characteristics
Guohai Liu +4 more
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This paper proposes a new decoupling control for permanent magnet synchronous motor (PMSM) in which both the support vector machine generalized inverse (SVMGI) and the internal model control (IMC) are employed. By introducing the SVMGI systems into the original PMSM system, a new pseudo-linear system is developed. Moreover, based on the characteristics
Guohai Liu +4 more
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Fractional Inverse Generalized Chaos Synchronization Between Different Dimensional Systems
2017In this chapter, new control schemes to achieve inverse generalizedsynchronization (IGS) between fractional order chaotic (hyperchaotic) systems with different dimensions are presented. Specifically, given a fractional master system with dimension n and a fractional slave system with dimension m, the proposed approach enables each master system state ...
Adel Ouannas +3 more
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2016 28th International Conference on Microelectronics (ICM), 2016
Chaos is described as a unstable dynamic behavior with dependence on initial conditions. The control and synchronization of chaotic systems requires the knowledge of parameters in advance. Recently researcher's has been shifted from integer order chaotic system to fraction order chaotic system.
Adel Ouannas +2 more
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Chaos is described as a unstable dynamic behavior with dependence on initial conditions. The control and synchronization of chaotic systems requires the knowledge of parameters in advance. Recently researcher's has been shifted from integer order chaotic system to fraction order chaotic system.
Adel Ouannas +2 more
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Neurocomputing, 2013
Abstract Considering that the two-motor synchronous control is a nonlinear, strong-coupling, multi-input and multi-output (MIMO) system, a novel generalized inverse system (NNGI) is proposed in this paper. The NNGI system is based on a single hidden layer feed-forward neural network system (SLFNs).
Jin-lin Ding +3 more
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Abstract Considering that the two-motor synchronous control is a nonlinear, strong-coupling, multi-input and multi-output (MIMO) system, a novel generalized inverse system (NNGI) is proposed in this paper. The NNGI system is based on a single hidden layer feed-forward neural network system (SLFNs).
Jin-lin Ding +3 more
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2016 35th Chinese Control Conference (CCC), 2016
Wind power generation system has characteristics of high nonlinear and stochastic. In this paper, power control strategy of permanent magnet synchronous wind power generation system is investigated to realize power adjustment under full wind speed conditions.
Yanhong Liu +3 more
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Wind power generation system has characteristics of high nonlinear and stochastic. In this paper, power control strategy of permanent magnet synchronous wind power generation system is investigated to realize power adjustment under full wind speed conditions.
Yanhong Liu +3 more
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Neural Network Generalized Inverse of Multi-motor Synchronous System Working on Vector Control Mode
2012Multi-motor synchronous system is a multi-input multi-output, nonlinear and high coupling control system. The neural network generalized inverse system can realize the linearization and decoupling of the nonlinear control. Local minima, irrationality learning rate and over learning easily occur in traditional feedforward neural networks.
Ding Jin-lin, Wang Feng
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