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COMPARISON BETWEEN MODEL PREDICTIVE CONTROL AND PID CONTROL FOR WATER-LEVEL MAINTENANCE IN A TWO-TANK SYSTEM

Li, Ang (2010) COMPARISON BETWEEN MODEL PREDICTIVE CONTROL AND PID CONTROL FOR WATER-LEVEL MAINTENANCE IN A TWO-TANK SYSTEM. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

The objective of this study is to investigate the Model predictive control (MPC) strategy, analyze and compare the control effects with Proportional-Integral-Derivative (PID) control strategy in maintaining a water level system. An advanced control method, MPC has been widely used and well received in a wide variety of applications in process control, it utilizes an explicit process model to predict the future response of a process and solve an optimal control problem with a finite horizon at each sampling instant. In this thesis, we first designed and built up a closed-loop two-tank water level system. Next, we modeled the system and linearized the model for simplification in the analysis and design. Then, we implemented the model in a simulation environment based on Matlab. We tried both MPC and PID control methods to design the controller for the two-tank system, and compared the results in terms of settling time, overshoot, and steady-state error under various operational conditions including time delays. The results showed the advantage of MPC for dealing with the system dynamic over PID and could be designed for more complex and fast system dynamics even in presence of constraints.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Li, Angowen005@gmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairMao, Zhi-Hongzhm4@pitt.eduZHM4
Committee MemberLi, Ching-Chungccl@pitt.eduCCL
Committee MemberSun, Minguidrsun@pitt.eduDRSUN
Date: 30 September 2010
Date Type: Completion
Defense Date: 21 June 2010
Approval Date: 30 September 2010
Submission Date: 22 June 2010
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: MSEE - Master of Science in Electrical Engineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Model predictive control; PID congrol; Water tank system
Other ID: http://etd.library.pitt.edu/ETD/available/etd-06222010-151054/, etd-06222010-151054
Date Deposited: 10 Nov 2011 19:48
Last Modified: 15 Nov 2016 13:44
URI: http://d-scholarship.pitt.edu/id/eprint/8171

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