Master of Engineering Science
Mechanical and Materials Engineering
Dr. S. F. Asokanthan
Numerical schemes that are suitable for predicting response statistics of mass-spring and ring gyroscopes are developed when this class of vibratory gyroscopes are subjected to certain system parameters as well as environment uncertainties. The emphasis is placed on the steady-state part of the response since it is more critical to the operation of a gyroscope. A peak-picking approach which simulates the demodulation process which is used in practice is employed first before applying the Monte Carlo simulation method to predict the response statistics. A number of simulation trials to predict response statistics have been performed for mass-spring and ring-type gyroscopes in an effort to ascertain the optimal temporal points as well as sample paths for the impending uncertainty quantification study. Based on the optimal temporal and sample paths, uncertainties in input angular rate, mass/frequency mismatch and damping have been quantified.
Abedin, Nujhat, "Uncertainty Quantification for a Class of MEMS-based Vibratory Angular Rate Sensors" (2014). Electronic Thesis and Dissertation Repository. 2245.