Engineering Commons^™

Process/Equipment Design Implications For Control System Cybersecurity, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

An emerging challenge for process safety is process control system cybersecurity. An attacker could gain control of the process actuators through the control system or communication policies within control loops and potentially drive the process state to unsafe conditions. Cybersecurity has traditionally been handled as an information technology (IT) problem in the process industries. In the literature for cybersecurity specifically of control systems, there has been work aimed at developing control designs that seek to fight cyberattacks by either giving the system appropriate response mechanisms once attacks are detected or seeking to make the attacks difficult to perform. In this …

Economic Model Predictive Control And Process Equipment: Control-Induced Thermal Stress In A Pipe, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Recent work on economic model predictive control (EMPC) has indicated that some processes may be operated in a more economically-optimal fashion under a time-varying operating policy than under a steady-state operating policy. However, a concern for time-varying operation is how such a change in operating policy might impact the equipment within which the processes being controlled are carried out. While under steady-state operation, the operating conditions to which equipment would regularly be exposed can be estimated, this would be more difficult to assess thoroughly a priori under time-varying operation. It could be explored whether the EMPC could be made aware …

On Accounting For Equipment-Control Interactions In Economic Model Predictive Control Via Process State Constraints, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Traditionally, chemical processes have been operated at steady-state; however, recent work on economic model predictive control (EMPC) has indicated that some processes may be operated in a more economically-optimal fashion under a time-varying operating policy. It is unclear how time-varying operating policies may impact process equipment, which must be investigated for safety and profit reasons. It has traditionally been considered that constraints on process states can be added to EMPC design to prevent the controller from computing control actions which create problematic operating conditions for process equipment. However, no rigorous investigation has yet been performed to analyze whether, when a …

An Approach To Evaluate Disability Using Machine Learning And Sensor-Equipped Instruments Demonstrated On Hand Grip Force Data, Prem Kumar Sivakumar

Wayne State University Dissertations

The goal of this research is to improve the process of rehabilitation. Even though the current tools and technologies are meeting the requirements of clinical use, there is a lot of room for improvement. Improving the tools used in therapy can help reduce costs and save time for the patient and the therapist by giving a valuable insight into the progress of the therapeutic process. Combining therapeutic tools with cognitive tools such as machine learning can assist a therapist to determine and predict functional ability and help patients keep track of their progress.

The long-term goal for instrumented outcome measures …

Urban Runoff And Energy Recovery, Dimitri Porter

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

This project seeks to determine whether microturbines can operate with low flow and low head conditions typically found in urban runoff, and how much power microturbines can generate under these conditions.

Edge Heterogeneous Hardware Evaluation Based On Real Connected And Autonomous Vehicles (Cavs) Workloads, Mustafa Ahmad

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

There has recently been a wide expansion of hardware to assist in autonomous driving tasks. On this project, we focus on using some state-of-the-art deep learning workloads in connected autonomous vehicle (CAV) scenarios,such as object detection and object tracking to evaluate the heterogeneous hardware.

Three-Phase Motor Drive Using Hall Sensors And Field Oriented Control, Michael Mayberry

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

Permanent magnet synchronous motors (PMSM) are a promising candidate for the push to electrify transportation. They have many benefits over DC motors, however they require advanced control techniques that use accurate rotor position, to achieve optimal operation. Using Field Oriented Control (FOC) and hall sensors allows for a low-cost, reliable solution for PMSM drives.

The current study uses FOCs and hall sensors to achieve a motor drive with high power density, accurate speed control, and a small footprint.

Learning Models For Corrupted Multi-Dimensional Data: Fundamental Limits And Algorithms, Ishan Jindal

Wayne State University Dissertations

Developing machine learning models for unstructured multi-dimensional datasets such as datasets with unreliable labels and noisy multi-dimensional signals with or without missing information have becoming a central necessity. We are not always fortunate enough to get noise-free datasets for developing classification and representation models. Though there is a number of techniques available to deal with noisy datasets, these methods do not exploit the multi-dimensional structures of the signals, which could be used to improve the overall classification and representation performance of the model.

In this thesis, we develop a Kronecker-structure (K-S) subspace model that exploits the multi-dimensional structure of the …

Analysis And Mitigation Of The Impacts Of Delays In Control Of Power Systems With Renewable Energy Sources, Chang Fu

Wayne State University Dissertations

ABSTRACT

Analysis and Mitigation of the Impacts of Delays in Control of Power Systems

with Renewable Energy Sources

by

Chang Fu

Apr. 2019

Advisor : Dr. Caisheng Wang

Major : Electrical and Computer Engineering

Degree : Doctor of Philosophy

With the integration of renewable resources, electric vehicles and other uncertain

resources into power grid, varieties of control topology and algorithms have been proposed to

increase the stability and reliability of the operation system. Load modeling is an critical part

in such analysis since it significantly impacts the accuracy of the simulation in power system,

as well as stability and reliability …

Optical Nanostructures For Controllable And Tunable Optical Properties, Ashfaqul Anwar Anwar Siraji

Wayne State University Dissertations

Optical nanostructures are heterogeneous media containing subwavelength inclusions in periodic or aperiodic fashion. The optical properties of optical nanostructure can be controlled and tuned using their constituent material properties and spatial arrangement of the inclusions. While optical nanostructures have been widely studied, controllable and tunable nanostructures using low loss transparent materials has not been studied in detail in the literature. The objective of this research is to perform efficient design and analyses of controllable and tunable optical nanostructures using low loss transparent materials.

To that end, versatile and highly accurate numerical methods like finite different tie domain and plane wave …

Developing A Real-World Vehicle Trip Dataset Through Public Travel Surveys And Applying It To Battery Electric Vehicle Performance Study, Nizar Ali Khemri

Wayne State University Dissertations

Real-world second-by-second vehicle driving cycle data is very important for research and development of the traditional fuel-powered vehicles, the emerging electric vehicles, and the hybrid vehicles. A project solely dedicated to generating such information would be extremely costly and time-consuming. Alternatively, we introduce a method to develop such a database by utilizing two publicly available passenger vehicle travel surveys; the 2004-2006 Puget Sound Regional Commission (PSRC) Travel Survey and the 2011 Atlanta Regional Commission (ARC) Travel Survey. The two surveys complement each other – the former is in low time resolution but covers vehicle driving and non-driving operation for over …

Ros-Based Sensor Fusion And Motion Planning For Autonomous Vehicles: Application To Automated Parkinig System, Yuanzhe Li

Wayne State University Theses

Research and development in autonomous vehicles are currently very active since these vehicles are expected to play an important role in future transportation. During the past decade, numerous Advanced Driver Assistance Systems (ADAS) features have been developed and implemented on production vehicles, such as Adaptive Cruise Control and Lane Keeping Assist. However, most ADAS features are aimed to assist driving on highways where the environments are usually more structured and decision making can be made more easily. Non-highway environments, such as in the case of self-parking, are unstructured and requires more complicated analysis of the image information, localization and path …

Distributed Optimal Power And Voltage Management In Dc Microgrids, Eyad A. Sindi

Wayne State University Dissertations

The work developed new control strategies to address fundamental issues of power balance, line loss reduction, and voltage profile management in DC microgrids. In microgrids of distributed renewable generations and controllable loads, load allocation to different distributed generators, line losses, voltage stability and quality are intimately coupled, departing significantly from traditional power grids in which economic dispatch and voltage stability are typically separate control tasks.

In this work, a multi-objective optimization strategy is introduced to address the challenges imposed by these coupled issues. Global optimal solutions are derived. Recursive optimization algorithms for distributed control strategies are introduced and shown to …