Comparative analysis of converter topologies used in switched reluctance motor for high torque electric vehicle application

Asati, Ritika; Bankar, D. S.; Nehete, Amit L.

doi:10.1016/j.matpr.2022.08.497

Cited by 8 publications

(1 citation statement)

References 12 publications

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“…This control is ineffective for nonlinear control systems. Selection of PI parameter is a crucial task that depends on the operating conditions [21], [22].…”

Section: Pi Control With Modified Reduced Switch Convertermentioning

confidence: 99%

Fuzzy controlled modified reduced switch converter for switched reluctance motor under dynamic loading

Asati,

Bankar,

Apte

et al. 2024

IJEECS

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In this paper, modified reduced switch converter topology is used to drive 8/6 pole, 7500 W switched reluctance motor (SRM) with an electric vehicle (EV) load. Fuzzy logic control (FLC) is developed for the modified converter topology and its performance is compared with the proportional integral (PI) controller. Analytical equations, switching pulses and different mode of operation are presented for modified reduced switch converter using double phase magnetization scheme. The converter topology adopts a modified switching sequence i.e., magnetization then freewheeling before demagnetization. It offers lesser torque ripples, reduced phase current and need only four switches for a 4-phase SRM drive. Modified reduced switch converter is simulated in MATLAB-simulation to investigate and compare the steady state waveforms and transient speed response of the PI and FLC. Torque ripple in modified converter is 50% less than the classical converter. Peak overshoot and settling time performance of FLC is superior as compared to PI, when applied to modified converter with EV loading.

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“…This control is ineffective for nonlinear control systems. Selection of PI parameter is a crucial task that depends on the operating conditions [21], [22].…”

Section: Pi Control With Modified Reduced Switch Convertermentioning

confidence: 99%

Fuzzy controlled modified reduced switch converter for switched reluctance motor under dynamic loading

Asati,

Bankar,

Apte

et al. 2024

IJEECS

View full text Add to dashboard Cite

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A Novel Enhanced Fire Hawks Optimization Approach for Improving the Efficiency of Converter‐Based Controllers in Switched Reluctance Motors

Kiran,

Raju,

Kumar

2024

Adv Control Appl

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Switched reluctance motors (SRMs) have gained popularity in various industrial applications due to their advantages, including structural simplicity, high reliability, low cost, and operational stability over a wide speed range without relying on rare‐earth permanent magnet materials. However, these motors exhibit drawbacks such as weak torque density, low efficiency, and significant torque ripple, particularly in high‐speed operation. An efficient converter‐based control approach is proposed to manage speed and torque variations in SRM motors, addressing these issues. A multilevel converter (MC) is introduced as a fundamental component. The novel multilevel converter (NMC) accommodates SRMs with varying numbers of phases and exhibits quick demagnetization and excitation behaviors, enabling independent operation of each phase even during conduction overlaps. Subsequently, an effective controller is developed for the SRM motor, combining proportional integral derivative (PID) control with enhanced fire hawks optimization (EFHO). The EFHO optimizes the PID gain values to enhance controller performance. The converter operation minimizes torque ripple and facilitates speed management. The EFHO technique is a fusion of fire hawks optimization (FHO) and the sine cosine algorithm (SCA). This amalgamation improves the updating process of FHO by incorporating SCA. The proposed methodology is implemented in MATLAB and evaluated through various metrics, including SRM motor current, voltage, speed, and torque, under electric vehicle (EV) load conditions. Performance comparisons are conducted with traditional optimization algorithms such as the whale optimization algorithm (WOA) and ant colony optimization (ACO). The results validate the effectiveness of the proposed methodology in achieving improved SRM motor control and performance.

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Torque Ripple Reduction Strategies in Switched Reluctance Motor Using Electromagnetic Computing Tool: A Study for Electric Vehicle Applications

Mandake,

Bankar,

Asati

2024

Advances in Intelligent Systems and Computing

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Comparative analysis of converter topologies used in switched reluctance motor for high torque electric vehicle application

Cited by 8 publications

References 12 publications

Fuzzy controlled modified reduced switch converter for switched reluctance motor under dynamic loading

Fuzzy controlled modified reduced switch converter for switched reluctance motor under dynamic loading

A Novel Enhanced Fire Hawks Optimization Approach for Improving the Efficiency of Converter‐Based Controllers in Switched Reluctance Motors

Torque Ripple Reduction Strategies in Switched Reluctance Motor Using Electromagnetic Computing Tool: A Study for Electric Vehicle Applications

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