Control a machine with limited initial data
The supplied project used a four-pole, 2 kW DFIG without detailed electromagnetic information. The control problem included a bidirectional grid interface and rotor-current magnitude and frequency regulation across power and speed conditions.
Identify the plant and model the drive
Locked-rotor and no-load tests were performed to identify machine parameters. A MATLAB/Simulink drive-system model was then used to investigate d–q control and grid-connected generation.
Implement control in dSPACE
The source reports deploying the algorithm to a dSPACE prototype controller, using d-axis rotor current for flux excitation and q-axis current for torque. The implementation also included MPPT and a real-time virtual wind-turbine model.
A reported prototype demonstration
The supplied description and video present the project’s control approach. They do not provide a verified grid-compliance assessment, quantified conversion efficiency or a complete operating-range dataset.
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Video link supplied in the company document; not independently reviewed for technical performance.
Project description and outcomes are self-reported in the supplied company document. Linked video material is provided as a source reference, not independent verification or a customer endorsement.
Connected expertise.
SPM and IPM rotor structures · supplied document
Motor models built for control development.
Develop linear and nonlinear electric machine models from finite-element data or an initial machine description.
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Hardware-in-the-loop test setup · supplied document
From offline simulation to real-time HIL.
Develop propulsion-system models in MATLAB/Simulink and bring machine and controller behavior into real-time testing.
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