Fuzzy control of wing rock for slender delta wings

Tarn, J. H.; Hsu, Feng-Yih

doi:10.1109/tencon.1992.271877

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Theorem 2: For wing rock system with parametric uncertainty, the convergence of error dynamics (24) i.e. complete tracking of reference system (12) by actual system (23) is achieved if controller is designed as…”

Section: Controller Design For the System With Uncertaintymentioning

confidence: 99%

“…But feed-forward neural network based techniques need large number of neurons to represent dynamic response of systems in time domain. On the other hand, model free approach based on fuzzy control using linguistic information has been discussed in [23]- [24]. Though fuzzy control has been successfully applied in many applications but due to the lack of formal synthesis techniques that can guarantee the system stability, it has not been viewed as a rigorous technique.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive control of wing rock system in uncertain environment using contraction theory

Sharma

Kar

2008

2008 American Control Conference

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Contraction theory is used to study stability based on differential and incremental behaviour of trajectories of a system with respect to each other. Application of contraction theory provides a platform to analyze the exponential stability of nonlinear systems. This paper considers the design of a control law for wing rock system using contraction theory principles. An adaptive control design approach based on contraction theory is proposed for controlling the dynamics of such systems for the cases with and without uncertainty in parameters. An adaptive control law along with parameter updation law is derived for uncertain wing rock system to achieve convergence of trajectories of actual system to that of desired system. The analysis made in the paper leads to quite simple results avoiding complexities involved with Lyapunov method. Finally numerical simulations are presented to justify the effectiveness of the proposed controller.

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Section: Controller Design For the System With Uncertaintymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive control of wing rock system in uncertain environment using contraction theory

Sharma

Kar

2008

2008 American Control Conference

View full text Add to dashboard Cite

show abstract

“…11 Paralleling these experimental efforts to study and suppress the wing rock phenomenon, various control techniques have been tried employing the approximate mathematical model. Some of the prominent ones are 1) optimal control-based techniques, 12,13 2) use of fuzzy logic control (FLC) for suppression, 14 and 3) suppression using neural networks. 15,16 These methods have shown to be very successful in suppressing the wing rock numerically.…”

Section: Introductionmentioning

confidence: 99%