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A novel region selection approach of SVPWM for a three-level NPC inverter used in electric vehicle Roy, Debanjan; Kumar, Sanatan; Singh, Madhu
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.612 KB) | DOI: 10.11591/ijpeds.v10.i4.pp1705-1713

Abstract

This paper confers an investigation of a space vector modulation based control strategy of induction motor using a three-level inverter for electric vehicle application. The proposed controller uses a simple v/f control with a novel SVPWM technique. A new method for region selection of SVPWM for a multilevel inverter is implemented for the closed-loop system. Previously the region selection procedure was not considered by most of the researcher in the literature for developing the PWM algorithm. This approach is based on some algebraic equations. The remarkable point here is that it is identical to all the remaining sectors. Hence calculation complexity reduces by making it a simpler implementation. This method can be applied to any number of levels. The potency of the proposed controller is validated through the MATLAB/SIMULINK environment. The performance of the overall system is inspected through transient and steady-state analysis. The neutral point balance of the 3L NPC inverter is established by adopting proper switching sequences.
A fuzzy logic controller based brushless DC motor using PFC cuk converter Kumar, Sanatan; Roy, Debanjan; Singh, Madhu
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.133 KB) | DOI: 10.11591/ijpeds.v10.i4.pp1894-1905

Abstract

This paper presents a PFC (Power Factor Correction) Cuk converter fed BLDC (Brushless DC) motor drive and the speed of BLDC motor is controlled using fuzzy logic implementation. The PFC converters are employed to enhance the power quality. The Brushless DC motor speed is under the control of DC-bus voltage of VSI-Voltage Source Inverter in which switching of low frequency is used. This helps in the electronic commutation of BLDC motors thus decreasing the switching losses in VSI. A DBR (Diode Bridge Rectifier) next to the PFC Cuk converter controls the voltage at DC link maintaining unity power factor. The characteristics of Cuk converter in four dissimilar modes of operation are studied such as continuous and discontinuous conduction modes (CCM and DCM) respectively. The entire system is simulated using Matlab/Simulink software and the simulation results are reported to verify the performance investigation of the proposed system.
Model Free Control of Hybrid Fuel-Cell and Supercapacitor Powered Electric Vehicle Narsing Dhanagare, Tejas; He, Qiaohui; Lakshmi Srinivas, Vedantham; Alzhrani, Abdoalateef; Vardhan, A. S.; Singh, Madhu; Saket, R. K.; Zhao, Xiaowei
International Journal of Renewable Energy Development Accepted Articles
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.61095

Abstract

This paper proposes a model-free control of a hybrid fuel-cell supercapacitor electric vehicle, where the complete vehicle propulsion system and energy dispatch control are independent of the system parameters. An ultra-local model of the fuel-cell and super-capacitor is considered herein for the precise energy dispatch control, while the permanent magnet synchronous motor is used for the vehicle propulsion system. The fuel-cell is the main power source while supercapacitor is considered as a backup power source with regenerative operation. Contrary to hybrid electric vehicle controls, the proposed system does not depend on the system modeling parameters. Consequently, the vehicle control inaccuracies caused by the changes in the fuel-cell, supercapacitor or motor modeling parameters are eliminated. Using the presented technique, rapid tracking of fuel-cell and supercapacitor currents to their reference values, as well as tight DC bus voltage regulation, has been demonstrated successfully. Additionally, a model-free control loop for a supercapacitor-fed converter for regenerative energy is analyzed. Rigorous simulations are carried out under manifold operating conditions, while the system is tested against various practical conditions in real-time using the Opal-RT 5600 platform, which validates the effectiveness of the proposed approach for practical implementation purposes.