Effects of Model Structure, Nonzero D.C.-Value and Measurable Disturbance on Adaptive Control

Yang, Dae Ryook; Lee, W.-K.

doi:10.1016/s1474-6670(17)62394-2

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Potential operating problems associated with self-tuners and ways of avoiding them are described in the informative survey articles by Astrom (1980bAstrom ( , 1983, Clarke (1981b), Clarke and Gawthrop (l979), Isermann (1982), Wellstead and Zanker (1982), and Wittenmark and Astrom (1984), and in the papers by Bristol (1983). Yang and Lee (1983), Latawiec and Chyra (1983), and Clarke et al (1983).…”

Section: Potential Operating Problemsmentioning

confidence: 99%

Adaptive control strategies for process control: A survey

1986

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In recent years there has been extensive interest in feedback control systems that automatically adjust their controller settings to compensate for changes in the process or the enviornment. Such systems are referred to as adaptive controllers. This survey paper reviews the current state of the art in adaptive control from a process control perspective and describes leading design techniques. Potential operating problems associated with adaptive control schemes are considered. A survey of experimental applications of adaptive control systems to process control problems is also included. SCOPEProcess control systems inevitably include adjustable controller settings that facilitate process operation over a wide range of conditions. Typically, controller settings are tuned after the control system has been installed using time-consuming, trial-and-error procedures. If process conditions change significantly, then the controller must be retuned in order to obtain satisfactory control.In recent years, there has been extensive interest in adaptive control systems that automatically adjust the controller settings to compensate for unanticipated changes in the process or the environment. Adaptive control schemes provide systematic, flexible approaches for dealing with uncertainties, nonlinearities, and time-varying process parameters. Consequently, adaptive control systems offer significant potential benefits for difficult process control problems where the process is poorly understood andlor changes in unpredictable ways. The practical benefits of adaptive control have been documented in a wide variety of successful industrial applications.Although adaptive control has been a reputable research area for about thirty years, it is only in the last decade that it has achieved prominence as one of the

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