A piezoresistive accelerometer is the first element of a vibration measurement chain, and its improvement can enhance measurement quality. In this paper, we have developed a new formula that links the movement acceleration as a function of the natural frequency and the damping rate of the piezoresistive accelerometer in first time, and movement acceleration as a function of the measurement error in second time. This model allows the decrease of the acceleration measurement error and increases the accelerometer accuracy by choosing the right damping rate and frequency range. Finally, this new formula allows proposing new parameters for more accurate and reliable piezoresistive accelerometer.
In the scope of this work, a new structure of the nine level inverter is proposed using a reduced number of power switches. This inverter is used as a shunt active power filter to compensate harmonic currents and the reactive power. The modeling and simulation of the proposed model were carried out in Matlab/Simulink environment. The simulation results show that the filtering performances were achieved despite the reduction of the switches number. It was found that the current waveform becomes purely sinusoidal with a reduction in the harmonic distortion rate (THD) to 2.68%. This implies good compensation of both harmonics and reactive power with a power factor closer to unity. Reducing the switches number allows reducing the switching losses and lowering the duration of the applied voltage supported by the semiconductors. The proposed topology also allows to get simple structure of the inverter with a reduced cost.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.