Nested Integral Sliding Mode Control of Multimachine Power Systems

Huerta-Avila, H.; Loukianov, Alexander G.; Cañedo, J.M.

doi:10.3182/20071017-3-br-2923.00046

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…The Integral Sliding Modes with Block Control (ISM) technique (Huerta-Avila et al, 2007a, Huerta-Avila et al, 2007b) is shown in this section. The description of the ISM is presented in generic terms to show the generality of the approach.…”

Section: Integral Sliding Modes With Block Controlmentioning

confidence: 99%

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Systems Structure and Control

Hušek¹

2008

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The title of the book System, Structure and Control encompasses broad field of theory and applications of many different control approaches applied on different classes of dynamic systems. Output and state feedback control include among others robust control, optimal control or intelligent control methods such as fuzzy or neural network approach, dynamic systems are e.g. linear or nonlinear with or without time delay, fixed or uncertain, onedimensional or multidimensional. The applications cover all branches of human activities including any kind of industry, economics, biology, social sciences etc. Naturally it is not purpose of this book in few chapters neither to provide a comprehensive survey of all the above mentioned disciplines nor to give a detailed study of any of them. Nevertheless, the following 11 chapters demonstrate that even today after several decades of intensive effort of many researchers and practitioners the area of control of dynamic systems still brings new challenging problems and produces solutions of many of them.The brief outline of the volume is as follows.In chapter 1 a new method for design of state-derivative feedback control of linear systems is presented. State-derivative feedback can be considered as a generalization of classical state feedback in those applications where state derivative is easier to obtain then the direct state, e.g. in vibration attenuation control of many mechanical systems including car suspension systems, bridge cables or landing gear components. In the contribution an extension of known methods for descriptor systems with polytopic parameter uncertainty is presented.Chapter 2 is concerned with the problem of stability analysis of linear systems with time delays. Such systems naturally occur very often, e.g. in network control or remote control via satellite. Time-delayed systems are of great interest for many decades but still many questions remain unanswered or achieved results are too conservative. Here an improved time-domain delay-dependent (i.e. taking into account the magnitude of time delay) approach result for both continuous and discrete time systems is presented. The obtained result is also applied on stability analysis of large scale systems.The problem of state observation of nonlinear systems using differential neural network is addressed in chapter 3. State observation is very important in those applications where we would like to use the advantages of state feedback but the states are not accessible. Many different techniques have been already used to solve the problem. In the contribution approximation properties of a class of dynamic neural networks are used for state observation of uncertain nonlinear systems affected by bounded external perturbations.In chapter 4 sliding mode control is designed and applied on control of electric power systems. Such systems are modeled as complex large-scale systems which are difficult to control. Sliding mode control is one of the most used and effective control approaches to nonlinear systems, especiall...

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Section: Integral Sliding Modes With Block Controlmentioning

confidence: 99%

“…To achieve the first control objective, that is, the rotor speed stability enhancement, define the control error as (Huerta-Avila et al, 2007a, Huerta-Avila et al, 2007b)…”

Section: Integral Sliding Mode Speed Stabilizer (Ismss)mentioning

confidence: 99%

Systems Structure and Control

Hušek¹

2008

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“…Due to space limitations, only the i th and the last steps are presented. For more details see [17].…”

Section: A Problem Statementmentioning

confidence: 99%

Nested integral sliding modes of large scale power system.

Huerta-Avila

Loukianov

Cañedo

2007

2007 46th IEEE Conference on Decision and Control

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A sliding mode decentralized excitation controller for multimachine power systems is designed to stabilize the power angle and regulate the terminal generators voltages. First, the block control approach is used to derive a nonlinear sliding manifold, on which the mechanical dynamics are linearized. Then, a combination of the integral and nested sliding mode techniques is applied to reject both the matched and unmatched perturbations. The designed controller was tested through simulation of WSCC (Western System Coordinating Council) under small and large perturbations. The presented simulations confirm effectiveness of the proposed controller.

show abstract

Section: Integral Sliding Modes With Block Controlmentioning

confidence: 99%

“…To achieve the first control objective, that is, the rotor speed stability enhancement, define the control error as (Huerta-Avila et al, 2007a, Huerta-Avila et al, 2007b 22 ii b zxω =−.…”

Section: Integral Sliding Mode Speed Stabilizer (Ismss)mentioning

confidence: 99%