In this article, a rotor–bearing–coupling system supported by Active Magnetic Bearings (AMBs) is numerically simulated to estimate the characteristic parameters of AMB, residual unbalance, and misalignment parameters. The system is modeled with two rigid massless rotors each having a rigid disc and an AMB at its mid-span, mounted on flexible bearings and connected together with a flexible coupling. Proportional–Differential–Integrator (PID) is used to control the controlling current in AMB. Lagrange’s equation is used to obtain the linear equations of motion (EOMs) of the system. The developed EOM is solved by the fourth order Runga–Kutta method to generate the displacement and current responses. The time domain responses are converted into frequency domain by using Fast Fourier Transform (FFT) and full spectrum analysis is carried out to estimate the characteristic parameters of rotor AMB system. The estimation of parameters is performed based on least squares approach in frequency domain. The proposed methodology is tested against different levels of measurement error and modelling error to check the robustness of the algorithm.
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ASME 2017 Gas Turbine India Conference
December 7–8, 2017
Bangalore, India
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
978-0-7918-5851-6
PROCEEDINGS PAPER
Characteristic Parameter Estimation of AMB Supported Coupled Rotor System
Sampath Kumar Kuppa,
Sampath Kumar Kuppa
NIT Rourkela, Rourkela, India
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Mohit Lal
Mohit Lal
NIT Rourkela, Rourkela, India
Search for other works by this author on:
Sampath Kumar Kuppa
NIT Rourkela, Rourkela, India
Mohit Lal
NIT Rourkela, Rourkela, India
Paper No:
GTINDIA2017-4641, V002T05A010; 9 pages
Published Online:
February 2, 2018
Citation
Kuppa, SK, & Lal, M. "Characteristic Parameter Estimation of AMB Supported Coupled Rotor System." Proceedings of the ASME 2017 Gas Turbine India Conference. Volume 2: Structures and Dynamics; Renewable Energy (Solar, Wind); Inlets and Exhausts; Emerging Technologies (Hybrid Electric Propulsion, UAV,..); GT Operation and Maintenance; Materials and Manufacturing (Including Coatings, Composites, CMCs, Additive Manufacturing); Analytics and Digital Solutions for Gas Turbines/Rotating Machinery. Bangalore, India. December 7–8, 2017. V002T05A010. ASME. https://doi.org/10.1115/GTINDIA2017-4641
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