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Discrete time adaptive control for a MEMS gyroscope
Author(s) -
Park Sungsu,
Horowitz Roberto
Publication year - 2005
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.868
Subject(s) - control theory (sociology) , gyroscope , discretization , controller (irrigation) , feed forward , computer science , adaptive control , rate of convergence , convergence (economics) , discrete time and continuous time , observer (physics) , control engineering , engineering , mathematics , control (management) , artificial intelligence , mathematical analysis , agronomy , channel (broadcasting) , computer network , statistics , physics , quantum mechanics , economic growth , economics , biology , aerospace engineering
This paper presents a discrete time version of the observer‐based adaptive control system for micro‐electro‐mechanical systems gyroscopes, which can be implemented using digital processors. A stochastic analysis of this control algorithm is developed and it shows that the estimates of the angular rate and the fabrication imperfections are biased due to the signal discretization errors in the feedforward control path introduced by the sampler and holder. Thus, a two‐rate discrete time control is proposed as a compromise between the measurement biases and the computational burden imposed on the controller. The convergence analysis of this algorithm is also conducted and an analysis method is developed for determining the trade‐off between the controller sampling frequency and the magnitude of the angular rate estimate biased errors. All convergence and stochastic properties of a continuous time adaptive control are preserved, and this analysis is verified with computer simulations. Copyright © 2005 John Wiley & Sons, Ltd.