New design method of simple adaptive control for systems with arbitrary relative degree

Dosho, Tomonori; Ohmori, Hitoshi; Sano, Akira

doi:10.1109/cdc.1997.657871

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…Yet, it is worth mentioning that the designer cannot actually implement Eq. (39) to improve the performance of the LTI controller because it would result in an improper transfer function. Instead, we implement the strictly proper PFC configuration …”

Section: Control Design Revisitedmentioning

confidence: 99%

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Classical and Simple Adaptive Control for Nonminimum Phase Autopilot Design

Barkana

2005

Journal of Guidance, Control, and Dynamics

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A recent publication uses a difficult design example to show that fuzzy logic might have advantages when compared with classical compensators. Although in this particular case the application was shown to be successful, convergence of the fuzzy-logic algorithm, as well as other time-varying controllers, cannot not be guaranteed unless some preliminary conditions are satisfied. It will be shown that further exploitation of the classical design can improve robust performance. This result is then used to create sufficient conditions that guarantee convergence with time-varying controllers, and it is then shown that simple adaptive control methods can further improve performance and maintain it in changing environments.

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Section: Control Design Revisitedmentioning

confidence: 99%

“…5,25,33−38 A structural decomposition method has also been proposed that allows satisfaction of the ASPR condition without the use of parallel feedforward. 39 Kaufman et al 40 summarize various developments concerning the theory and applications of SAC.…”

Section: Introductionmentioning

confidence: 99%

Classical and Simple Adaptive Control for Nonminimum Phase Autopilot Design

Barkana

2005

Journal of Guidance, Control, and Dynamics

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“…Here, we assume that the plant to be controlled is ASPR. Using conditions (36)- (37) gives (see Appendix A)…”

Section: Simple Adaptive Control Based On Cgtmentioning

confidence: 99%

“…plants may not satisfy this condition, various forms of parallel feedforward configurations have been developed to satisfy the condition, thus extending SAC applicability to almost all practical applications [4,23,[31][32][33][34][35][36]. A structural decomposition method has also been developed that allows satisfaction of the ASPR condition without the use of parallel feedforward [37]. The methodology has also been shown to be feasible in time-varying and non-linear system, when the ASPR property is replaced by 'almost strictly passivity (ASP)' [22,25].…”

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confidence: 99%

Gain conditions and convergence of simple adaptive control

Barkana

2005

Int. J. Adapt. Control Signal Process.

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Recent publications have presented successful implementations of simple direct adaptive control techniques in various applications. However, they also expose the fact that the convergence of the adaptive gains has remained uncertain. The gains may not converge to the ideal constant control gains predicted by the underlying linear time-invariant system considerations. As those prior conditions that were also needed for stability may not hold, this conclusion may raise doubts about the robustness of the adaptive system. This paper intends to show that the adaptive control performs perfect tracking even when the linear time-invariant solution does not exist. It is shown that the adaptation performs a 'steepest descent' minimization of the errors, ultimately ending with the appropriate set of control gains that fit the particular input command and initial conditions. The adaptive gains do asymptotically reach an appropriate set of bounded constant ideal gain values that solve the problem at task.

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“…Several methods based on control algorithm have been examined for the suppression of the torsional vibration [11][12][13][14][15] . The conventional PI controller is used for the speed regulation [16][17] .…”

Section: Introductionmentioning

confidence: 99%

Torsional vibration suppression of drive system based on DMC method

Shi

Liu

Hou

2008

2008 7th World Congress on Intelligent Control and Automation

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In this paper, a novel torsional vibration predictive control design based on DMC(dynamic matrix control) is proposed for drive system. The state equation of two-mass drive system is established based on model matching. A PI-DMC controller for suppressing torsional vibration of drive system was designed by PI controller with dynamic matrix control. The random disturbance is avoided by inner-controller, and the external-controller can improve control precision and dynamic response of drive system. The effectiveness and usefulness of the proposed schemes are verified with the simulation. The simulation results show that the control method can suppress torsional vibration effectively, and improve transmission performance of drive system. Index Terms -Drive system Torsional vibration PI controller DMC methodL c c m J K K J A L c m c J K J K s s A SI

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New design method of simple adaptive control for systems with arbitrary relative degree

Cited by 14 publications

References 6 publications

Classical and Simple Adaptive Control for Nonminimum Phase Autopilot Design

Classical and Simple Adaptive Control for Nonminimum Phase Autopilot Design

Gain conditions and convergence of simple adaptive control

Torsional vibration suppression of drive system based on DMC method

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