MICROCONTROLLER BASED ONLINE IDENTIFICATION OF VARIABLE PARAMETERS IN INDUCTION MOTORS

ABSTRACT On-line identification of machine parameters has been a challenge in induction drives for the achievement of high performance operation of machines with variable parameters. Conventional recursive or iterative algorithms, in most cases, are not applicable because of computing time limitations and convergence problems. In addressing the issue of obtaining operating-condition dependent parameters in transportation linear induction motors (LIMs), this work proposes a microcontroller based on-line scheme, which is conceptually simple and operationally stable, for identification of key variable parameters, namely magnetizing inductance and secondary resistance, in induction motors. The algorithm is derived from the terminal equivalent impedance, and uniqueness is verified. A new algorithm for calculating Arctg(x) when x ≈ 1 is also derived to facilitate the real-time operations of microprocessor-based systems. The effectiveness of this new scheme is demonstrated by experimental results.

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