Practical combined parameter identification and state estimation of machines

摘要

High performance variable-speed drives usually incorporate a model for the system in either controller or state estimation stages. The accuracy and general robustness of the drive is dependant on this model so it must accurately represent both the electrical and electromagnetic interactions within the machine and associated mechanical systems. This paper considers two motor forms; the separately excited dc machien and the ac induction machine. For both cases parameter identification methods are described which reduce the expense, or need, of the speed measurement. The Genetic Algorithm technique has been adapted in this work for use in the parameter identification stage. Copyright ~direct 2000 IFAC