MATLAB Simulink, power electronics, microgrid, renewable energy, EV charging, motor drive and control-system simulations for research, thesis and FYP work. Browse simulation case studies with output snapshots, PhD thesis support, assignments and FYP guidance for India, UK, Australia, Germany, France and Malaysia and researchers worldwide.
Browse projects organized within this engineering domain by technical subdomain, software platform and application area.
Research case study focused on data preprocessing, feature/AI pipeline design, training or inference validation and quantitative accuracy assessment, with project media, validation guidance and thesis-oriented extensions.
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Research case study focused on data preprocessing, feature/AI pipeline design, training or inference validation and quantitative accuracy assessment, with project media, validation guidance and thesis-oriented extensions.
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Research case study focused on data preprocessing, feature/AI pipeline design, training or inference validation and quantitative accuracy assessment, with project media, validation guidance and thesis-oriented extensions.
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Research case study focused on engineering-system modelling, controller or numerical implementation, measurable output validation and transient/steady-state performance, with project media, validation guidance and thesis-oriented extensions.
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Research case study focused on data preprocessing, feature/AI pipeline design, training or inference validation and quantitative accuracy assessment, with project media, validation guidance and thesis-oriented extensions.
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Electrical MATLAB and Simulink research connects physical power-system behaviour with control logic, converter switching, energy management and measurable engineering performance. A defensible study links its research question to architecture, software workflow, algorithms, test scenarios, validation and numerical comparison.
Typical areas include microgrids, renewable-energy converters, electric drives, power-quality compensators, HVDC networks, batteries, fuel cells, BESS and grid-control studies.
Common outputs include DC-link voltage, active/reactive power, motor speed and torque, battery SOC, harmonic distortion, frequency and voltage recovery, supported by clearly defined numerical metrics.
Useful extensions include adaptive AI control, multi-objective energy management, digital-twin validation, HIL testing, uncertainty-aware control and fault-tolerant operation.
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