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epsiv-filter can reduce most kinds of noise from a single-channel noisy signal with preserving the signal that varies drastically such as a speech signal. The filter design is simple and it can effectively reduce noise. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters and we need to set them appropriately based on empirical control. So far, there...
This paper presents an adaptive friction compensation algorithm based on LuGre friction model with only measurements of position for a high precision stage using a synchronous piezoelectric device driver (SPIDER). Two observers are used to estimate an unmeasured friction state in LuGre model. Adaptive control laws are derived on the basis of the Lyapunov technique for estimating unknown friction parameters,...
This paper presents the nonresonant ultrasonic motor (SPIDER)-driven precision stage control based on an adaptive identification method with a variable forgetting factor (VFF). SPIDER-driven stage has a strong non-linearity due to the frictional drive mechanism. Focusing on the VFF, dynamical change of frictional property is detected. Therefore, fast and precise friction compensation can be performed...
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