Self-tuning control of nonlinear servo system: comparison of LQ and predictive approach
Result description
The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody nonlinear behaviour. Traditional fixed controllers cannot deal with this. One possible alternative for improving the quality of control for such processes is the use of adaptive control systems. Different approaches were proposed and utilized. One successful approach is represented by self-tuning controller (STC). This approach is also called system with indirect adaptation (with direct identification). The main idea of an STC is based on the combination of a recursive identification procedure and a selected controller synthesis. In this paper, the standard STC (non-predictive) approach is verified and compared with STC based on the ModelPredictive Control (MPC). The verification of both methods was implemented by the real-time control of a highly nonlinear laboratory model, the DR300 Speed Control with Variable Load.
Keywords
Self-tuning controlLQ controlPredictive controlNonlinear systemServo systemReal-time control
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Self-tuning control of nonlinear servo system: comparison of LQ and predictive approach
Original language description
The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody nonlinear behaviour. Traditional fixed controllers cannot deal with this. One possible alternative for improving the quality of control for such processes is the use of adaptive control systems. Different approaches were proposed and utilized. One successful approach is represented by self-tuning controller (STC). This approach is also called system with indirect adaptation (with direct identification). The main idea of an STC is based on the combination of a recursive identification procedure and a selected controller synthesis. In this paper, the standard STC (non-predictive) approach is verified and compared with STC based on the ModelPredictive Control (MPC). The verification of both methods was implemented by the real-time control of a highly nonlinear laboratory model, the DR300 Speed Control with Variable Load.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
17th Mediterranean Conference on Control and Automation
ISBN
978-1-4244-4685-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE - Inst Electrical Electronics Engineers Inc.
Place of publication
New Jersey
Event location
Thessaloniki, Greece
Event date
Jun 26, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
BC - Theory and management systems
Year of implementation
2009