Please use this identifier to cite or link to this item:
Title: Analysis and enhancement of performance of industrial control systems
Keywords: Control loop performance assessment; cascade control; minimum variance control; iterative PI tuning; model-free tuning; analysis of variance
Issue Date: 18-May-2004
Citation: GORADIA DHARMESH BALVANT (2004-05-18). Analysis and enhancement of performance of industrial control systems. ScholarBank@NUS Repository.
Abstract: In this research work, several issues related to the industrially important simple feedback and cascade control systems are examined using the stochastic framework and minimum variance benchmark to develop suitable data based tools. Accordingly, a model free journey from tuning the existing simple feedback loop (to attain PI achievable performance) to tuning PI-P/PI-PI controllers of cascade scheme (to attain PI-P/PI-PI achievable performance) is discussed. Analysis of variance is successfully employed to deal with questions like: (i) When to use cascade control? (ii) Selection of best secondary variable from the few potential candidates for cascade scheme and (iii) Which controller (primary or secondary) to tune in the existing cascade loop to achieve the cascade achievable performance? Tradeoffs in cascade controller tuning for better stochastic and/or deterministic disturbance rejection is also discussed. Realistically simulated examples have been extensively employed throughout this study, to illustrate the workability of the proposed methods.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Thesis Final ver.pdf.pdf811 kBAdobe PDF



Page view(s)

checked on Nov 10, 2018


checked on Nov 10, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.