A Sensorless Speed Identifier Using Adaptive Digital Filtering Technique

Chin, Kok Yet (2010) A Sensorless Speed Identifier Using Adaptive Digital Filtering Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

It has been known that the speed of an induction motor can be determined from its rotor slot harmonic (RSH)component, leading to the development of several analog RSH-based sensorless speed estimation techniques. A common problem encountered by these methods is that the speed estimation extraction process is complicated by the small level of the RSH signal relative to the fundamental signal and the presence of other harmonics. Furthermore, the frequency of the RSH changes as the load changes. To overcome the shortcomings of the analog techniques ,a few all digital techniques are proposed. In this project, one of these digital techniques which is based on an adaptive filters proposed to be modeled in MATLAB. The student is first exposed to a fixed frequency digital filter design before moving on to design the adaptive digital filter based on a given algorithm. The designed filter is then to be tested using a simulated induction motor signal. It is expected that the filter can extract the fundamental and the RSH components from the signal and subsequently the components are used to identify the speed of the motor

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