Self-powered And Bio/Nature-inspired Dynamic Systems: Towards Infinite Endurance (aerial) Vehicles/Systems, And Novel Engineering Designs (Electric Vehicles: Everything is Changing. USA 2017)

Dr Farbod Khoshnoud, Associate Professor
California State University
United States

Presentation Summary

Animals are products of nature and have evolved over millions of years to perform better in their activities. Engineering research and development can benefit greatly by looking into nature and finding engineering solutions by learning from animals' evolution and biological systems. Another relevant factor in the present context is highlighted by the statement of the Nobel laureate Richard Smalley: "Energy is the single most important problem facing humanity today." In particular, recent advances in self-powered dynamic systems and bio-inspired dynamic systems are highlighted. Self-powered dynamic systems benefit by capturing wasted energy in a dynamic system and converting it into useful energy in the mode of a regenerative system, or with renewable energies. Examples of solar-powered vehicles, regenerative vibration control, and energy harvesting are presented. Particularly, development of novel solar-powered quadrotor, octocopter, and tricopter Unmanned Aerial Vehicles (known as 'Brunel Solar UAVs') are presented, a self-powered vibration control of a mass-spring system using electromagnetic actuators/generators, and piezoelectric flutter energy harvesting using bi-stable material are discussed. As examples of bio-inspired dynamic systems, flapping wing flying robots, vertical axis wind turbines inspired by fish schooling, Quantum Entanglement of Autonomous Vehicles, and Psi Intelligent Control are given. In particular, various design and developments of bird-inspired and insect-inspired flapping wings with the piezoelectric and electromagnetic actuation mechanisms, a scaled vertical axis wind turbine farm consist of 4 turbines and the corresponding wind tunnel testing, and a multi-agent/robotic based predictive control scheme inspired by Psi precognition (event or state not yet experienced), and Quantum Entanglement. For the analysis and understanding of the behavior of self-powered and bio-inspired systems, Optimal Uncertainty Quantification (OUQ) is used. OUQ establishes a unified analysis framework in obtaining optimized solutions of the dynamic systems responses, which takes into account uncertainties and incomplete information in the simulation of these systems.
Selected References:
• Farbod Khoshnoud, Michael McKerns, Clarence W. De Silva, Ibrahim Esat, Houman Owhadi, Self-powered Dynamic Systems in the framework of Optimal Uncertainty Quantification, ASME Journal of Dynamic Systems, Measurement, and Control, Volume 139, Issue 9, 2017.
• Farbod Khoshnoud, Michael McKerns, Clarence W. De Silva, Ibrahim Esat, Richard H.C. Bonser, Houman Owhadi, Self-powered and Bio-inspired Dynamic Systems: Research and Education, ASME 2016 International Mechanical Engineering Congress and Exposition, Phoenix, Arizona, USA, 2016.
• Farbod Khoshnoud, C. W. de Silva, and I. I. Esat, Quantum Entanglement of Autonomous Vehicles for Cyber-physical security, IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, October 5-8,2017, pp.2655-2660.
• Self-Powered Dynamic Systems, Wikipedia, 2013:

Speaker Biography (Farbod Khoshnoud)

Farbod Khoshnoud is an associate professor of mechanical engineering at California State University, Fresno, USA. His current research areas include Self-powered Dynamic Systems and Biologically Inspired Dynamic Systems. He was a Lecturer in the Department of Mechanical Engineering at Brunel University London, UK, 2014-16. He was a senior lecturer at the University of Hertfordshire before joining Brunel, 2011-2014. He was a visiting scientist and postdoctoral researcher in the Industrial Automation Laboratory, Department of Mechanical Engineering, at the University of British Columbia (UBC), Vancouver, Canada, 2007-2012. He was a visiting researcher at California Institute of Technology, USA, 2009-2011. He carried out postdoctoral research in the Department of Civil Engineering at UBC, 2005-2007. He received his Ph.D. in Mechanical Engineering from Brunel University in 2005. He has worked in industry as a mechanical engineer for over six years. He is an associate editor of the journal of Control and Intelligent systems.

Company Profile (California State University)

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