Underactuated nonlinear adaptive control approach using U-model incorporated with RBFNN for multivariable underwater glider control parameters

Hussain, N.A.A. and Ali, S.S.A. and Saad, M.N.M. and Ovinis, M. and Nordin, N. and Adil, S.H. (2017) Underactuated nonlinear adaptive control approach using U-model incorporated with RBFNN for multivariable underwater glider control parameters. Indian Journal of Geo-Marine Sciences, 46 (12). pp. 2482-2492. ISSN 25826506

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Abstract

Underwater glider platform represents the maturing technology with a large cost saving over current underwater sampling process. It can survey and monitor the sea environment cost-effective manner combining survey capabilities, simultaneous water sampling and environmental data gathering capacities. It can perform a wide range of fully automated monitoring data measurement over an extended period of time. This paper will focus on the design of multivariable underactuated nonlinear adaptive control using U-model methodologies. Underwater glider control, modelling and identification approach was reviewed in order to formulate the design, development and control approach of underwater glider development using multivariable adaptive U-model nonlinear control approach. U-model methodology simplifies the control synthesis with the influence of the uncertainties and external disturbances by selecting appropriate control structures. Most of the autonomous underwater vehicle (AUV) neglected the coupling effect of the dynamics during process modelling while U-model enables to include the coupling effect using the inverse Jacobian matrix. U-model incorporated with RBFNN enhance the adaptive nonlinear control synthesis. Thus contributes towards the underactuated nonlinear adaptive control development and process modelling. © 2017, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.

Item Type: Article
Additional Information: cited By 2
Uncontrolled Keywords: autonomous underwater vehicle; control system; design; monitoring; multivariate analysis; nonlinearity
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:19
Last Modified: 09 Nov 2023 16:19
URI: https://khub.utp.edu.my/scholars/id/eprint/8086

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