Condition Monitoring and Dynamic Control Systems: Technology, Applications and Research


Russell T. Crawford (Editor)

Series: Mathematics Research Developments
BISAC: MAT000000

In Chapter One, the implementation of an advanced control strategy based on Model Predictive Control (MPC) is proposed. In Chapter Two, an uncertainty observer based controller in order to regulate a class of highly nonlinear system is considered. Chapter Three presents the development of an integrated monitoring system for the continuous evaluation of the condition of critical rotating and structural components in tidal turbines. The system can be used to provide information regarding the presence of faults as well as advanced warning of impending failures. Chapter Four presents a multi-functional oil condition sensor for detecting wear debris and measuring lubricant properties. To conclude, Chapter Five analyzes current issues and development directions of next generation manufacturing systems, with particular emphasis on digital manufacturing proposed as part of the Industry 4.0 revolution. (Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. Advanced Process Control Based on MPC: An Application to a Biodiesel Plant
Miguel Patti – Diego Feroldi, PhD- David Zumoffen, PhD (Process Systems Engineering Group (GISP) – Franco-Argentine International Center for Information and Systems Sciences (CIFASIS – CONICET – UNR), Rosario, Argentina)

Chapter 2. Uncertainty Observer-Based I/O Linearizing Control for the Regulation of a Continuous Wastewater Bioreactor for Cd Removal
Hugo Iván Velázquez-Sánchez, Juan Carlos Figueroa-Estrada, Pablo Antonio López-Pérez, PhD and Ricardo Aguilar-López, PhD (Department of Biotechnology and Bioengineering, CINVESTAV-IPN, Mexico City, Mexico, and others)

Chapter 3. The Evaluation of an Integrated Condition Monitoring System for Life Extension of Offshore Tidal Energy Devices
A. Angulo, S. Soua and T. H. Gan (TWI Ltd, Granta Park, Great Abington, Cambridge, Cambridgeshire, UK, and others)

Chapter 4. A Multi-Functional Sensor for Online Lubricating Oil Condition Monitoring
Xiaoliang Zhu, Chong Zhong and Jiang Zhe (Department of Mechanical Engineering, the University of Akron, Akron, Ohio, US)

Chapter 5. Dynamic Control in Next Generation Manufacturing Systems
Iwona Lapunka, PhD and Piotr Wittbrodt, PhD (Faculty of Production Engineering and Logistics, , Opole University of Technology, Opole, Poland)


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