This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

This paper presents a detailed analysis of the two most well-known hill-climbing maximum power point tracking (MPPT) algorithms: the perturb-and-observe (P&O) and incremental conductance (INC). The purpose of the analysis is to clarify some common misconceptions in the literature regarding these two trackers, therefore helping the selection process for a suitable MPPT for both researchers and industry. The two methods are thoroughly analyzed both from a mathematical and practical implementation point of view. Their mathematical analysis reveals that there is no difference between the two. This has been confirmed by experimental tests according to the EN 50530 standard, resulting in a deviation between their efficiencies of 0.13% in dynamic and as low as 0.02% under static conditions. The results show that despite the common opinion in the literature, the P&O and INC are equivalent.

On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems

Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

/pdf/multiagent-systems-a-modern-approach-to-distributed-5fon0donq1.pdf

Multiagent systems: a modern approach to distributed artificial intelligence

An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency

A review of high-temperature proton exchange membrane fuel cell (HT-PEMFC) system

Recently, the importance of exploring the plausibility of renewable energy has been progressively increased, not only because of concerns over the shortage of current fossil fuels but also the consideration of sustainable development and the negative environmental impact caused by large scale use of fossil fuels. Among renewable sources, solar energy seems to be one of the promising energy sources for widespread application. Due to its inherent intermittency and fluctuation, one of the important research interests is to harness the maximum power possible from the solar energy falling on a panel. To this end, an efficient maximum power point tracker to harvest as much energy as possible is a key to improving the system's efficiency and performance. This paper presents a novel hybrid maximum power point tracking mechanism with adaptive perturbation size. The proposed method is implemented, analyzed, and evaluated in MATLAB/Simulink. Both numerical and experimental evaluation results prove that by using the proposed method, better tracking performance can be achieved and the power delivered at steady state can be increased by a factor of 7.31% compared with conventional methods.

Adaptive Hybrid Maximum Power Point Tracking Method for a Photovoltaic System

This paper presents a review and analysis of current non-destructive failure detection methods of composite materials and a brief outline of the build of a bamboo bicycle which has been used as a d...

https://tandfonline.com/doi/pdf/10.1080/21642583.2017.1311240

Comparative analysis of failure detection methods of composites materials’ systems

Power management control for off-grid solar hydrogen production and utilisation system

This paper presents a review and analysis of a fuel cell system modelling and controller design for electric fuel cell vehicle applications. The paper begins by presenting the basic principal of PEM fuel cell dynamics. The work proceeds to investigate models and controller design techniques for fuel cell systems.

Review and analysis of fuel cell system modelling and control

This paper investigates the design of an optimal battery management system for hybrid electric vehicles to allow performance improvements. Battery management systems are an important subsystem for hybrid electric vehicles, which ensure that the batteries are operating within the specified safe operating conditions. Thus, the design of a battery management system plays an important role on battery life preserving and performance improvement of hybrid electric vehicles. Battery management systems are affected by many factors and the key one being cell unbalancing. This paper presents an overview of different cell balancing topologies and their impact on system performance. Furthermore, the application of cell balancing topologies for Lithium-ion battery pack with the view of improving battery management systems for the hybrid electric vehicles is also investigated. Real-time implementation of an optimal battery management system is discussed with references to the University of South Wales (USW) hybrid electric vehicles.

Kary Thanapalan

Papers

Adaptive Hybrid Maximum Power Point Tracking Method for a Photovoltaic System

Comparative analysis of failure detection methods of composites materials’ systems

Power management control for off-grid solar hydrogen production and utilisation system

Review and analysis of fuel cell system modelling and control

Design and implementation of an optimal battery management system for hybrid electric vehicles