Sliding Mode Control Methodology in the Applications of Industrial Power Systems, 1st ed. 2020 Studies in Systems, Decision and Control Series, Vol. 249

This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters. Readers will find not only valuable new fault detection and isolation techniques based on sliding mode control and observers, but also a number of robust control and estimation methodologies combined with fuzzy neural networks and extended state observer methods. The book also provides necessary experimental and simulation examples for proton exchange membrane fuel cell systems and power converter systems. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists and engineers who are working in the field. 

Presents the latest findings on advanced sliding mode control and observations for industrial power systems Provides a brief review of sliding mode control and sliding mode observer design based on Utkin’s and Lyapunov’s methods for both linear and nonlinear systems Exploits observer-based and second-order SMC and FDI, as well as state estimation techniques in the application of PEMFC systems