ANN generalised inversion for the linearisation and decoupling control of nonlinear systems

Dai, Xianzhong; He, Dingxin; Zhang, T.; Zhang, K.

doi:10.1049/ip-cta:20030322

Cited by 38 publications

(28 citation statements)

References 12 publications

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“…In this paper there are considered as already demonstrated closed loops disturbances rejection performance presented in [1], [2], [6] and [7].…”

Section: Discussionmentioning

confidence: 99%

Supervised Solutions for Precise Ratio Control: Applicability in Continuous Production Line

Lupu¹,

Popescu²,

Florea³

2014

SIC

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Applications of continuous production line technique is of vast use today when there is a high demand for mass production. One of the main disadvantages consists in high receptiveness to malfunctions since a single fault can stop or affect the quality of the entire production line. The paper presents an improved solution of (re)balancing a parallel control structure and maintaining the ratio between two adjustment quantities. Applicability is proved on a control structure of the ratio using two groups of tanks, a situation that has been encountered in the chemical industry, food industry, pharmaceutical industry etc. Meanwhile the proposed structure may represent an interesting solution that could be implemented within supervisory level.

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“…In this paper there are considered as already demonstrated closed loops disturbances rejection performance presented in [1], [2], [6] and [7].…”

Section: Discussionmentioning

confidence: 99%

Supervised Solutions for Precise Ratio Control: Applicability in Continuous Production Line

Lupu¹,

Popescu²,

Florea³

2014

SIC

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“…We consider the third order model of a synchronous generator connected to an infinity-bus, called a single machine infinite bus (SMIB) system, which is as follows [14]:…”

Section: Problem Formulationmentioning

confidence: 99%

“…where variables are presented in detail in [14], and parameter x d is supposed to be randomly distributed in a certain area as changing parameter. If the power angle δ is as the plant output y and the excitation voltage V f as the input u, following third order differential equation can be deduced from (1):…”

Section: Problem Formulationmentioning

confidence: 99%

Adaptive Inverse Control of Excitation System with Actuator Uncertainty

Yuan

Wang

2007

Neural Process Lett

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In this paper, we present a new approach of designing adaptive inverse controller for synchronous generator excitation system containing nonsmooth nonlinearities in actuator device. The proposed controller considers not only the dynamics of generator but also nonlinearities in actuator. To address such a challenge, support vector machines (SVM) is adopted to identify the plant and to construct the inverse controller. SVM networks, used to compensate nonlinearities in synchronous generator as well as in actuator, are adjusted online by an adaptive law via back propagation (BP) algorithm. To guarantee convergence and for fast learning, adaptive learning rate and convergence theorem are developed. Simulation results are given, showing satisfactory control performance and illustrate the potential of the proposed adaptive inverse controller as useful for practical purpose.

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“…Neural network generalized inverse (NNGI) system is a method based on the development of NN inverse and becoming popular in linearization and decoupling for controlling of a general nonlinear dynamic continuous system [10] [11]. This paper will propose a strategy of model reference adaptive control (MRAC) system based on NNGI method for the current and speed regulations of PMSM drives.…”

Section: Introductionmentioning

confidence: 99%

A New Model Reference Adaptive Control of PMSM Using Neural Network Generalized Inverse

Dong

Zhao

2011

Advances in Neural Networks – ISNN 2011

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Abstract.A new strategy of model reference adaptive control (MRAC) system based on neural network generalized inverse (NNGI) algorithm, termed as MRAC-NNGI system, is proposed for the current and speed regulations of permanent magnet synchronous motor (PMSM) drives. Due to the fact that PMSM is a multivariable nonlinear system with strong couplings, this paper gives an analysis of generalized reversibility combined with NN. The developed scheme of NNGI is transformed into a pseudo-linear system from connecting the motor plant and achieved the purposes of decoupling and linearization with Levenberg-Marquardt algorithm off-line. Therefore, an adjustable gain of closed-loop adaptive controller is developed by introducing MRAC into this kind of pseudo-linear system. The self-adaptive law is given for the gain regulation of linear system. Comparison of simulation results from others widely used algorithms confirm that it incorporates the merits of model-free learning, highprecision tracking and strong anti-interference capability.

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ANN generalised inversion for the linearisation and decoupling control of nonlinear systems

Cited by 38 publications

References 12 publications

Supervised Solutions for Precise Ratio Control: Applicability in Continuous Production Line

Supervised Solutions for Precise Ratio Control: Applicability in Continuous Production Line

Adaptive Inverse Control of Excitation System with Actuator Uncertainty

A New Model Reference Adaptive Control of PMSM Using Neural Network Generalized Inverse

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