A New Synergetic Scheme Control of Electric Vehicle Propelled by Six-phase Permanent Magnet Synchronous Motor
Číslo: 1/2022 Periodikum: Advances in Electrical and Electronic Engineering DOI: 10.15598/aeee.v20i1.4221
Klíčová slova: Electric Vehicle (EV); Integral action in Sliding Mode (ISMC); six-phase Permanent Magnet Synchronous Motor (PMSM); Super Twisting Sliding Mode (STSM); Synergetic Control (SC)
Anotace:
Electric Vehicles (EVs) are a promising alternative to conventional vehicles powered by internal combustion motors, of fering the possibility of reducing CO2, pollutants, and noise emissions. As known, the control of such an electric vehicle takes into account several phenomena governing its behavior, which is a complicated problem because of the non-linearities, unmeasured disturbance, and parameters uncertainty of this system. This problem is one of the important challenges facing controller designers. Various control techniques have been proposed to enhance EV’s performance. On this basis, in this research, a new synergetic scheme of electric vehicles propelled by Six-Phase Permanent Magnet Synchronous Motor (PMSMs) is developed. The synthesis of the proposed Synergetic Controller (SC) is based on the selection of four-manifolds of stator current of PMSMs. The SC provides fast response, asymptotic stability of the closed-loop system in wide range operating condition, and decrease the size of modeled system. Also, the principal feature of SC is that it supports parameters variation. Furthermore, to illustrate the improvements and the performances of the proposed controller, a comparison study between various nonlinear controllers such as Integral Action in Sliding Mode (ISMC), Super Twisting Sliding Mode (STSM), using a dynamic model of the lightweight vehicle under New European Driving Cycle (NEDC) was done. The obtained simulation results under several operating conditions show the efficiency and superiority of the proposed control compared with nonlinear controllers; also, it demonstrates the feasibility of the proposed control approach for real systems.