Design of Estimator for Computing Yaw and Pitch for a Twin Rotor MIMO system

Santhosh, K V and Mohanthy, Preehti (2020) Design of Estimator for Computing Yaw and Pitch for a Twin Rotor MIMO system. International Journal of Mechanics, 14. pp. 79-86. ISSN 1998-4448

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Abstract

Performance of any system is identified through the observation of significant system parameters. Required parameters have to be measured using suitable sensors. But in some scenarios, it is difficult to measure some of the parameters due to issues in the placement of sensors. In such cases, estimators are developed to measure the parameters indirectly. In this paper, an attempt is made to develop an estimator to monitor the value of pitch and yaw of a twin-rotor multi input multi output system. The observer is developed using two methods one using Luenberger’s equations and the other using an Artificial Neural Network (ANN). For training the neural network model, the backpropagation algorithm is used. Tests have been conducted to analyze and compare the behavior of both observers. From the results, it is evident that a Luenberger observer performs better when sufficient system information is available and ANN observer performs better when inadequate system information is available.

Item Type: Article
Uncontrolled Keywords: —Artificial Neural Network, Estimator, Observer, soft sensor, TMRS.
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 12 Nov 2020 04:55
Last Modified: 12 Nov 2020 04:55
URI: http://eprints.manipal.edu/id/eprint/156019

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