Abstract

An accurate mathematical model of a three phase brushless motor drive (BLMD) system, based on physical principles, is presented for simulation in performance prediction studies of proposed embedded drive systems. This model can also be deployed for parameter identification of the adjustable speed drive (ASD) dynamics in optimal PID controller design and in adaptive system control. Model validation is provided, as an essential feature of the identification process, by step response transient simulation of motor current feedback and shaft velocity and comparison with actual drive test data. Penalty cost function simulation, based on the observed motor variables, is used to provide insight into the error surface topography and global minimizer location with the type of parameter search strategy that may be employed in the minimization process.

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