Dynamically Re-optimized SNAC Controller for Robust Wing Rock Suppression

Tiwari, Shivendra N and Padhi, Radhakant (2013) Dynamically Re-optimized SNAC Controller for Robust Wing Rock Suppression. In: IEEE International Symposium on Intelligent Control (ISIC) held as Part of 7th IEEE Multi-Conference on Systems and Control, AUG 28-30, 2013, Hyderabad, INDIA, pp. 47-52.

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Abstract

Following the philosophy of adaptive optimal control, a new technique is presented in this paper for robust optimal regulation of a class of nonlinear systems. First, accounting for a nominal system model, a single network adaptive critic (SNAC) based multi-layered neural network (called as N N-1) is synthesized offline for optimal regulation of the nominal system. However, another linear-in-weight neural network (called as N N-2) is trained online and augmented to N N-1 in such a manner that their combined output represent the desired optimal costate for the actual plant. To do this, the nominal model needs to be updated online to adapt to the actual plant, which done by synthesizing yet another linear-in-weight neural network (called as N N-3) online. Training of N N-3 is done by utilizing the error information between the nominal and actual states and carrying out the necessary Lyapunov stability analysis using a Sobolev norm based Lyapunov function so that both the unmodelled part of the dynamics as well as its partial derivatives with respect to the states are captured. This helps in training N N-2 successfully to capture the required optimal relationship. The overall architecture is named as `Dynamically re-optimized single network adaptive critic (DR-SNAC)'. To demonstrate its effectiveness, the DR-SNAC technique is applied to suppress the wing rock phenomenon of slender delta wings in high angle of attack in presence of significant unmodelled dynamics and the results are quite promising.

Item Type:	Conference Proceedings
Series.:	IEEE International Symposium on Intelligent Control
Publisher:	IEEE, NEW YORK, USA
Additional Information:	Copy right for this article belongs to the IEEE International Symposium on Intelligent Control (ISIC) held as Part of 7th IEEE Multi-Conference on Systems and Control, Hyderabad, INDIA, AUG 28-30, 2013
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	24 Aug 2016 09:55
Last Modified:	24 Aug 2016 09:55
URI:	http://eprints.iisc.ac.in/id/eprint/54592

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