3-phase BLDC motor analysis and control using Tensor Product Transformation
| dc.contributor.advisor | Taleb, Mayar | |
| dc.contributor.author | Attia, Youssif Attia Aly | |
| dc.contributor.department | DE--Műszaki Kar | |
| dc.date.accessioned | 2025-12-18T09:17:17Z | |
| dc.date.available | 2025-12-18T09:17:17Z | |
| dc.date.created | 2025 | |
| dc.description.abstract | This 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.course | Mechatronical Engineering | en |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 79 | |
| dc.identifier.uri | https://hdl.handle.net/2437/400974 | |
| dc.language.iso | en | |
| dc.rights.info | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | BLDC | |
| dc.subject | State-Feedback | |
| dc.subject | Polytopic | |
| dc.subject.dspace | Engineering Sciences | |
| dc.title | 3-phase BLDC motor analysis and control using Tensor Product Transformation |
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