Książka Nonlinear Predictive Control Using Particle Swarm Optimization Muhammad Salman Yousuf

Nonlinear Predictive Control Using Particle Swarm Optimization

Application to Power Systems

Język: Angielski
Oprawa: Miękka
Wydawca: VDM Verlag
Dostępność: Na zamówienie
Wysyłamy za 17-27 dni
246.25
It is well recognized that linear control methods are not always the optimum way to deal with typica...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2010
strony
144
EAN
9783639249668
ISBN
3639249666
Enbook ID
06832510
Wydawca
Waga
222
Wymiary
152 x 229 x 9

Pełny opis

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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