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The simulation of the induction motor drive models based on the design options have been carried out and analyzed the simulation results.
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Motor drive model subsystem consists of SEvMotorDrive_Model0. Warning for Target subsystem consists of SEvSound_Unit_4_Target0. Master controller consists of SE_Master_Controller0.
We replaced UM of Target with sensor subsystems by LRF subsystem and Kinect subsystem, and replaced Motor drive model subsystem by Motor drive subsystem.
And the device model of Robot consisted of Commander subsystem, Warning for Target subsystem, Motor drive model subsystem, and Master controller.
In this way, we certified the compatibility of LRF subsystem and Kinect subsystem with UM of Target with sensor subsystems, and the compatibility of Motor drive subsystem with Motor drive model subsystem.
A Permanent Magnet AC (PMAC) motor drive simulation with model reference control is examined as a candidate for inclusion in a realtime simulation environment.
Permanent magnet synchronous machine and switched reluctance motor drive FPGA models are also discussed.
Using the proposed aggregation method, an equivalent aggregated dynamic model of motor drive systems can be obtained at the substation bus.
Due to involvement of high-order transfer functions in dynamic models of individual motor drive systems, Pade approximation is used as a useful tool in the aggregation process.
Furthermore, by combining the nonlinear magnetic circuit model with a motor drive circuit and motion equation of an EV, we can predict dynamic characteristics such as the maximum speed, acceleration torque, and a battery current of the EV.
In particular, we used the ANFIS methodology to build a Sugeno fuzzy model for controlling the stepping motor drive.
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