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Nonlinear Predictive Control Using Particle Swarm Optimization

Application to Power Systems

Language EnglishEnglish
Book Paperback
Book Nonlinear Predictive Control Using Particle Swarm Optimization Muhammad Salman Yousuf
Libristo code: 06832510
Publishers VDM Verlag, May 2010
It is well recognized that linear control methods are not always the optimum way to deal with typica... Full description
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It is well recognized that linear control methods are not always the optimum way to deal with typical nonlinear plants. Due to continual increment in the complexity of systems and tighter product specifications, the quality requirements from automatic control have increased. Recently, the available computing power has rose to fantastic levels as well. Consequently, computationally intensive control methods can now be applied to complex systems. Model Predictive Control (MPC) techniques were developed to obtain tighter control and were applied successfully to several industrial applications. In this book, a new implementation of MPC is proposed using Particle Swarm Optimization (PSO). The proposed method formulates the MPC as an optimization problem and PSO is used to minimize it. This gives advantages like adaptability, possibility of varying control objectives, and enhanced capability of handling constraints. The proposed method is applied to an area of industrial systems that has been relatively unexplored by MPC, i.e. power systems. Both SISO and MIMO nonlinear systems are considered. Three practical Power System problems are taken and the proposed technique is applied to them.

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About the book

Full name Nonlinear Predictive Control Using Particle Swarm Optimization
Language English
Binding Book - Paperback
Date of issue 2010
Number of pages 144
EAN 9783639249668
ISBN 3639249666
Libristo code 06832510
Publishers VDM Verlag
Weight 222
Dimensions 152 x 229 x 9
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