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PDE Controls in Battery Management and Oil Production

Event Type
Lecture
Sponsor
ECE Illinois
Location
410 B1 Engineering Hall
Date
Mar 28, 2019   12:00 pm  
Views
4

Abstract

Numerous engineering systems are governed by partial differential equations (PDEs), such as energy systems, water management systems, multi-agent systems, and traffic systems. The recently developed continuum version of the back stepping estimation/control approach can be applied to the PDE-modeled systems to enable high performances. This talk will present two recent results in energy-related systems by PDE back stepping. First, we will talk about improving the state-of-charge estimation accuracy in lithium-ion batteries with a thermal-electrochemical model, which is essential in ensuring the normal operation of renewable energy storage systems. Then, we will discuss how to suppress the torsional vibration in deep offshore oil drilling systems subject to stick-slip instability and external disturbances at the drill bits, which is crucial in guaranteeing the performance of energy resource exploration and production systems. In addition to generating economic benefits, both results contribute to reducing environmental pollution and potentially improving the safety and wellbeing of people in modern society.

Bio

Shu-Xia Tang received her Ph.D. in Mechanical Engineering in 2016 from the Department of Mechanical & Aerospace Engineering at the University of California, San Diego, USA. She is currently a postdoctoral research fellow in the Department of Civil and Environmental Engineering at the University of California, Berkeley, USA and Inria Sophia Antipolis - M´ editerran´ee, France. She is an IEEE senior member, an IEEE CSS Technical Committee member on Distributed Parameter Systems, and an associate editor of Journal of Control, Automation and Electrical Systems. Her primary research interests are distributed parameter systems and control, with applications to battery systems, oil drilling systems, water management systems, multi-agent systems, traffic systems, and additive manufacturing systems.

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