3-phase BLDC motor analysis and control using Tensor Product Transformation

dc.contributor.advisorTaleb, Mayar
dc.contributor.authorAttia, Youssif Attia Aly
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-12-18T09:17:17Z
dc.date.available2025-12-18T09:17:17Z
dc.date.created2025
dc.description.abstractThis thesis designs and tests an angle-scheduled tensor-product (TP) state-feedback controller for speed control of a three-phase BLDC motor, modelled as an LPV system whose matrices depend on electrical rotor angle. The angle dependence is approximated by a 12-vertex polytopic model, and vertex gains are computed via LMIs with a common quadratic Lyapunov function; in real time the controller interpolates these gains and applies rate-limited, saturated phase voltages through a PWM interface. In nonlinear Simulink simulations of a 0–3000 rpm step, the TP and composite PI+TP controllers achieve 5–6 ms rise time, 10–15 ms settling time and 3–4% overshoot, whereas a tuned PI loop shows similar rise time but about 12% overshoot and ~45 ms settling. Steady-state results show that PI and PI+TP have essentially zero error and negligible ripple, while pure TP leaves a small bias and ~75 rpm peak-to-peak ripple, so the PI+TP architecture is identified as the best compromise between fast dynamics and smooth steady state.
dc.description.courseMechatronical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent79
dc.identifier.urihttps://hdl.handle.net/2437/400974
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectBLDC
dc.subjectState-Feedback
dc.subjectPolytopic
dc.subject.dspaceEngineering Sciences
dc.title3-phase BLDC motor analysis and control using Tensor Product Transformation
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