Design of PI and fuzzy-based sliding mode controller for speed control of BLDC motor using Landsman converter in electric vehicles

Design of PI and fuzzy-based sliding mode controller for speed control of BLDC motor using Landsman converter in electric vehicles S. Sahana http://orcid.org/0009-0006-9654-7722 K. Sasikala http://orcid.org/0000-0003-0506-4532

This research paper compares a conventional proportional-integral (PI) controller with a fuzzy-based sliding mode controller (FSMC) for speed control of a brushless DC (BLDC) motor powered by a Landsman DC-DC converter for electric vehicle (EV) applications. MATLAB/Simulink is used to model and simulate the proposed system's cascaded control architecture, which consists of a voltage source inverter and a Landsman converter. The performance is assessed in steady-state, load-disturbance, and transient scenarios. According to simulation data, the FSMC outperforms the PI controller in terms of rise time (0.064 s), overshoot (0.17%), and settling time (0.212 s). The FSMC exhibits better resilience, limiting the speed reduction to 45 RPM with a recovery time of 0.04 s with a sudden load disturbance of 1 Nm. The findings verify that the FSMC is appropriate for high-performance BLDC motor drive systems in electric vehicle applications because it provides improved dynamic response and disturbance rejection.
09 01 2026 1873 1884 http://creativecommons.org/licenses/by-sa/4.0 10.11591/ijpeds.v17.i3.pp1873-1884 https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/24523 https://ijpeds.iaescore.com/index.php/IJPEDS/article/viewFile/24523/15319 https://ijpeds.iaescore.com/index.php/IJPEDS/article/viewFile/24523/15319