Interactive control system design by a mixed H/sup ∞/-parameter space method

Besson, V.; Shenton, A.T.

doi:10.1109/9.599974

Cited by 18 publications

(10 citation statements)

References 5 publications

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“…Application to the robust performance problem (4) and use of a more general three term controller along with the PID controller structure is reported in Saeki and Hirayama [33] and Saeki and Kimura [34] where a CAD system for automated computation has also been presented. Similar results have also been reported by Besson and Shenton [29,35] for a slightly more general, second-order controller structure. B .…”

Section: Design For Robust Performancesupporting

confidence: 85%

“…Odenthal [31] has applied his symbolic computation based method to a wide range of examples. Out of these references, the initial formulation given below is similar to the one used by Besson and Shenton [29].…”

Section: Design For Robust Performancementioning

confidence: 98%

“…Several researchers have independently worked in the area of mapping various frequency domain criteria into parameter space. While no attempt is made to give a complete list, the authors are aware of the works of Djaferis [27], Saeki [28], Besson and Shenton [29], B . u unte [30], Odenthal [31] and Odenthal and Blue [32].…”

Section: Design For Robust Performancementioning

confidence: 99%

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Links between the parameter space and frequency domain methods of robust control

Güvenç

Ackermann

2001

Intl J Robust & Nonlinear

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SUMMARYTwo main approaches to robust control are the parametric and frequency domain approaches. The aim of this paper which starts with tutorial sections on both approaches is to compare and establish links between the parameter space method of the parametric approach and frequency domain methods, with special emphasis on the structured singular value (SSV) method. In an effort to combine the useful properties of both approaches, two SSV minimization based design techniques in controller parameter space are presented here. A simple interpretation of real SSV in plant parameter space and its further implications for analysis and design are also presented.

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Section: Design For Robust Performancesupporting

confidence: 85%

Section: Design For Robust Performancementioning

confidence: 98%

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Links between the parameter space and frequency domain methods of robust control

Güvenç

Ackermann

2001

Intl J Robust & Nonlinear

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“…Adequate sensor noise rejection is also desired. Consider the disturbance rejection transfer function matrix from disturbance input d to output y in (10) which can be converted into…”

Section: Mimo Disturbance Observermentioning

confidence: 99%

“…Consider the model regulation transfer function matrix from command input u n to output y in (10) which is desired to be G n according to aim (3) at low frequencies. Use of the matrix inversion lemma followed by some manipulations transforms this transfer function matrix into…”

Section: Mimo Disturbance Observermentioning

confidence: 99%

Robust MIMO disturbance observer analysis and design with application to active car steering

Güvenç

Karaman

2009

Intl J Robust & Nonlinear

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SUMMARYA multi-input-multi-output extension of the well-known two control degrees-of-freedom disturbance observer architecture that decouples the problem into single-input-single-output disturbance observer loops is presented in this paper. Robust design based on mapping D-stability and the frequency domain specifications of weighted sensitivity minimization and phase margin bound to a chosen controller parameter space is presented as a part of the proposed design approach. The effect of the choice of disturbance observer Q filter on performance is explained with a numerical example. This is followed by the use of structured singular values in the robustness analysis of disturbance observer controlled systems subject to structured, real parametric and mixed uncertainty in the plant. A design and simulation study based on a four wheel active car steering control example is used to illustrate the methods presented in the paper.

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A parameter space approach to constrained variance PID controller design

Dickinson

Shenton

2009

Automatica

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Interactive control system design by a mixed H/sup ∞/-parameter space method

Cited by 18 publications

References 5 publications

Links between the parameter space and frequency domain methods of robust control

Links between the parameter space and frequency domain methods of robust control

Robust MIMO disturbance observer analysis and design with application to active car steering

A parameter space approach to constrained variance PID controller design

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