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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Energy technology & engineering Electrical engineering

• Full title: Nonlinear Predictive Control Using Particle Swarm Optimization
• Subtitle: Application to Power Systems
• Author: Muhammad Salman Yousuf
• Language: English
• Binding: Paperback
• Number of pages: 144
• EAN: 9783639249668
• ISBN: 3639249666
• ID: 06832510
• Publisher: VDM Verlag
• Weight: 222 g
• Dimensions: 229 × 152 × 9 mm
• Date of publishing: 02. May 2010

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