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  3. Volume 6, Number 1, 2024
  4. Synthesis and Analysis of Energy-Shaping Control Systems for Electric Vehicle Energy Traction Systems Based on Bldc Motor

Synthesis and Analysis of Energy-Shaping Control Systems for Electric Vehicle Energy Traction Systems Based on Bldc Motor

SEPES.
2024;
Volume 6, Number 1
: pp. 25 - 35
Authors:
  1. Yurii Biletskyi
  2. Yurii Lompart
  3. Mykola Maliar
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University
3
Lviv Polytechnic National University, Departament of Automated Design Systems

Electromobility is rapidly advancing in modern society, driven by continuous development in energy storage systems, innovations in the design of highly efficient electric motors, and advancements in power electronics. This progress addresses numerous challenges for researchers while introducing new opportunities for further studies, particularly in shaping the dynamic and static characteristics of electric vehicle motors and optimizing control systems. One of the advanced approaches that tackles both tasks is energy-shaping control, which divides complex systems into interacting subsystems to achieve a desired energy function. This method ensures asymptotic stability and partially solves the optimization problem by directing energy towards a minimum.

This paper examines the primary control methods for a brushless direct current (BLDC) motor powered by a battery. A comparative analysis of modern research on control system optimization is conducted. The synthesis of an energy-shaping control system for a fourth-order electric vehicle energy traction system is carried out. The IDA-PBC approach is applied, allowing for the synthesis of optimal controller structures. The method is fine-tuned through parametric synthesis and the solution of an optimization problem. Simulation studies of the control system were performed in MATLAB/Simulink. The structures of the synthesized controllers and their impact on the control object were studied, leading to the selection of an optimal structure to ensure high-quality drive characteristics. The synthesized control structures ensure that the closed-loop system moves to the desired equilibrium  point with the required system dynamics. The obtained drive characteristics provide optimal system parameters in both dynamic and static modes.

electric vehicle
control system
energybased approaches
energy shaping control
brushless DC motor
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