Induction motor control with high performance is very difficult because inductionmotor model is nonlinear, structure varying and with multiple states. Among thedeveloped and being studied nonlinear control methods, the passivity basedcontrol(PBC) is proved almost the best by theory, simulation and experiments. But theestablished results are all under hypothesis of constant load torque and constant rotorresistance, which restricts the PBC to be developed and applied further.By strict analysis and calculation, the induction motor mathematical models areestablished: the form of magnetic flux and voltage equations and the form ofEuler-Lagrange(E-L) equations, in dq reference coordinates. Based mainly on the E-Lequations in the synchronous rotating coordinates, the passivity based controller ofinduction motor, combined with adaptive control strategy, is designed when the loadtorque and rotor resistance are time-varying and unknown. In order to carry out themechanical control such as torque and rotor velocity control, the magnetic amplitudeand angle asymptotic tracking control are also established simultaneously. Based ondSPACE, the induction motor control system real-time experimental platform has beenestablished to testify the PBC control strategies. The simulation and experimentalresults show that the control systems adopted the PBC controllers can achieve higherprecision and better stability if the feedback gains are chosen appropriately.
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