Vibration control of flexible link manipulator using SDRE controller and Kalman filtering

13Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

The problem of estimating the flexural states while applying State-Dependent Riccati Equation (SDRE) technique to flexible link manipulator (FLM) is the focus of this paper. The proposed method investigates the effect of employing Kalman Filter as state estimator in the case of the deterministically modelled FLM. The dynamic model of the FLM is derived through combined Euler Lagrangian-Assumed modes approach based on two significant modes, resulting in a nonlinear model with six states. The information of states being crucial to the imple mentation of SDRE controller, the state estimator based on Kalman filter designed in this paper, minimizes the effect of noises that may corrupt the state measurements. Simulation results reveal the effectiveness of Kalman filter based SDRE controller for accurate positioning and vibration suppression of the FLM.

References Powered by Scopus

Initial Experiments on the End-Point Control of a Flexible One-Link Robot

864Citations
N/AReaders
Get full text

Recursive Lagrangian Dynamics of Flexible Manipulator Arms

579Citations
N/AReaders
Get full text

Robust backstepping control of nonlinear systems using neural networks

440Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Tutorial and review on the state-dependent Riccati equation

68Citations
N/AReaders
Get full text

A critical review of modelling methods for flexible and rigid link manipulators

36Citations
N/AReaders
Get full text

Review on modeling and control of flexible link manipulators

30Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Reddy, M. P. P., & Jacob, J. (2017). Vibration control of flexible link manipulator using SDRE controller and Kalman filtering. Studies in Informatics and Control, 26(2), 143–150. https://doi.org/10.24846/v26i2y201702

Readers over time

‘18‘19‘20‘21‘22‘2400.751.52.253

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

71%

Professor / Associate Prof. 1

14%

Researcher 1

14%

Readers' Discipline

Tooltip

Engineering 7

88%

Computer Science 1

13%

Save time finding and organizing research with Mendeley

Sign up for free
0