Project Objective
Implement decoupled torque and flux control of a PMSM so that speed, electromagnetic torque and stator currents can be evaluated under reference changes and load disturbances.
The page is written to help researchers move from a project title to a structured model, a defendable simulation methodology and a clear set of result graphs without claiming fixed performance before the final parameters are selected.
System Architecture and Main Blocks
- Three-phase voltage-source inverter and DC supply
- PMSM phase-domain electrical and mechanical model
- Rotor-position or electrical-angle feedback
- Clarke and Park transformations for abc–αβ–dq conversion
- Inner d-axis and q-axis current controllers
- Outer speed controller, inverse transforms and SVPWM pulse generation
MATLAB Simulink Methodology
- Define PMSM stator resistance, d/q inductances, flux linkage, inertia, damping and pole pairs.
- Set the d-axis current reference and derive the q-axis reference from the speed controller.
- Tune current-loop bandwidth before tuning the slower speed loop.
- Generate inverter switching commands through inverse Park transformation and SVPWM.
- Test speed-reference steps, load-torque changes and parameter variation while logging current and torque responses.
Recommended Simulation Scenarios
- No-load acceleration to rated speed
- Step increase and decrease in load torque
- Forward/reverse speed command
- Current-limit activation
- PI, fuzzy, sliding-mode or predictive-control comparison
Expected Outputs and Performance Metrics
- Rotor speed and reference-tracking error
- Electromagnetic torque and load torque
- d-axis and q-axis currents
- Three-phase stator currents and voltages
- Rotor electrical angle, modulation signals and inverter pulses
Results should be plotted with labelled axes, units, reference signals and event times. Baseline and proposed-control cases should use the same operating conditions for a fair comparison.
Research Novelty and Extension Options
- Sensorless speed estimation using MRAS, EKF or sliding-mode observer
- Maximum-torque-per-ampere and field-weakening operation
- Model-predictive current or torque control
- Five-phase or six-phase PMSM extension
- EV drive-cycle and regenerative-braking integration
Applications for PhD, Engineering Projects and FYP
- PMSM drive PhD and master’s dissertations
- Electrical engineering FYP and motor-control projects
- Electric-vehicle traction-drive studies
- Industrial servo and robotics drive control
- Control-algorithm benchmarking in MATLAB Simulink
Suggested Report Structure
A strong report can include problem definition, literature review, governing equations, system block diagram, parameter table, controller design, simulation cases, result discussion, limitations, proposed novelty and future scope. Screenshots should be accompanied by technical interpretation rather than presented without explanation.