Applying DOE in Performance Optimization of an Automated Position Control System - A Collaborated Case Study between Two Engineering Technology Courses
- Conference
- Location
-
Virtual On line
- Publication Date
-
June 22, 2020
- Start Date
-
June 22, 2020
- End Date
-
June 26, 2021
- Conference Session
- Tagged Division
-
Manufacturing
- Page Count
-
13
- DOI
-
10.18260/1-2--34157
- Permanent URL
-
https://strategy.asee.org/34157
- Download Count
-
700
Paper Authors
Yuqiu You Ohio University
Dr. YUQIU YOU is an Associate Professor of Engineering Technology and Management at Ohio University. She earned her B.E. degree from HuaZhong University of Science and Technology in China, MS from Morehead State University of Morehead, KY, and Ph.D. (Technology Management with the concentration in manufacturing systems, 2006) from Indiana State University. Dr. You is currently teaching at Ohio University. Her interests are in computer-integrated manufacturing, automation control, and remote control systems. Dr. You may be reached at youy@ohio.edu.
Mustafa Shraim Ohio University
Dr. Mustafa Shraim is an Assistant Professor in the Department of Engineering Technology & Management at Ohio University in Athens, Ohio. He received both of his B.S. and M.S. degrees from Ohio University in 1986 and 1989, respectively. He received his Ph.D. in Industrial Engineering from West Virginia University in 1996.
Dr. Shraim’s research interests are in the area of quality engineering. Specifically, they cover Lean / Six Sigma methods and including incorporating experimental design to optimize operations. Other research interests include the Deming System of Profound Knowledge (SoPK), developing continuous improvement programs as well as sustainable management systems based on ISO 9001, ISO 14001, and other international standards.
He has over 20 years of experience in the quality management field as a quality engineer, corporate quality manager, consultant and trainer. His experience is extensive in quality management systems as wells as Lean and Six Sigma methods. In addition, he coached and mentored Green & Black Belts on process improvement projects in the manufacturing and service industries.
Dr. Shraim is a Certified Quality Engineer (CQE) & a Certified Six Sigma Black Belt (CSSBB) by The American Society for Quality (ASQ). He is also a certified Quality Management Systems (QMS) Lead Auditor by the International Register of Certificated Auditors (IRCA) in London. He was elected a Fellow by ASQ in 2007.
Abstract
Electrohydraulic systems with the combination of hydraulic hardware and electronics have offered superior industrial applications in position, velocity, and force/torque control. Position control is the more demanding applications of such automated electrohydraulic systems. However, the system performance is affected by many factors in such a complicated system with hydraulic hardware, electronic hardware and software, and therefore impacts the process and product quality. To improve the efficiency of system optimization, it is important to identify the key factors that play significant roles in system performance. The case study presented here is to apply methodology of the Design of Experiments students learned from a quality management course in the control system established in their hydraulic course to identify the key factors for system optimization.
The purpose of the case study is for students to learn and practice problem solving by applying knowledge and skills from two different courses. Students can design the process in problem solving as they would in real world. The purpose of the case study is to answer the questions: Which parameter(s) affect the system performance and to what extent? And can optimal settings be identified for the system to perform consistently?
In the case study, students will identify the key factors in affecting the system performance of an automated electrohydraulic position control system. The process studied here is the position control of a hydraulic cylinder through a PID controller. The system is composed of a hydraulic cylinder, a servo valve, a PID controller, and a position sensor. The performance measures of the system are response time of the cylinder to a target setpoint position, and positioning errors that reflect the deviation of current cylinder position from the target position. The controllable process parameters are identified as the control gains of the PID controller and the system pressure. The control gains of the controller include the P value (proportional gain), the I value (integral gain), and the D value (differential gain). Students will apply DOE method on the system analysis to identify the optimized setting for position control.
The DOE design, measurements, and experimental runs will be demonstrated and explained. The impact on students’ understanding of the method and system will be analyzed through assessment of their report and presentation.
You, Y., & Shraim, M. (2020, June), Applying DOE in Performance Optimization of an Automated Position Control System - A Collaborated Case Study between Two Engineering Technology Courses Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34157
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2020 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015