Torque Sharing Function Optimization for Extended Speed Range Control in Switched Reluctance Motor Drive

Al-Amyal, Fahad; Quraan, Laith Al; Számel, László

doi:10.1109/cando-epe51100.2020.9337792

Cited by 15 publications

(6 citation statements)

References 17 publications

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“…To produce undulation-free torque, the reference torque is distributed to each phase using various distribution functions. The reference torque values for each phase are defined as follows [43,44]:…”

Section: Iitc Based On Torque Sharing Functionmentioning

confidence: 99%

Fuzzy Super-Twisting Sliding Mode Controller for Switched Reluctance Wind Power Generator in Low-Voltage DC Microgrid Applications

Touati,

Mahmoud,

Araújo

et al. 2024

Energies

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There is limited research focused on achieving optimal torque control performance of Switched Reluctance Generators (SRGs). The majority of existing studies tend to favor voltage or power control strategies. However, a significant drawback of SRGs is their susceptibility to high torque ripple. In power generation systems, torque ripple implicates fluctuations in the generated power of the generator. Moreover, high torque ripple can lead to mechanical vibrations and noise in the powertrain, impacting the overall system performance. In this paper, a Torque Sharing Function (TSF) with Indirect Instantaneous Torque Control (IITC) for SRG applied to Wind Energy Conversion Systems (WECS) is proposed to minimize torque ripple. The proposed method adjusts the shared reference torque function between the phases based on instantaneous torque, rather than the existing TSF methods formulated with a mathematical expression. Additionally, this paper introduces an innovative speed control scheme for SRG drive using a Fuzzy Super-Twisting Sliding Mode Command (FSTSMC) method. Notably robust against parameter uncertainties and payload disturbances, the proposed scheme ensures finite-time convergence even in the presence of external disturbances, while effectively reducing chattering. To assess the effectiveness of the proposed methods, comprehensive comparisons are made with traditional control techniques, including Proportional–Integral (PI), Integral Sliding Mode Control (ISMC), and Super-Twisting Sliding Mode Control (STSMC). The simulation results, obtained using MATLAB®/SIMULINK® under various speeds and mechanical torque conditions, demonstrate the superior performance and robustness of the proposed approaches. This study presents a thorough experimental analysis of a 250 W four-phase 8/6 SRG. The generator was connected to a DC resistive load, and the analysis focuses on assessing its performance and operational characteristics across different rotational speeds. The primary objective is to validate and confirm the efficacy of the SRG under varying conditions.

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Section: Iitc Based On Torque Sharing Functionmentioning

confidence: 99%

Fuzzy Super-Twisting Sliding Mode Controller for Switched Reluctance Wind Power Generator in Low-Voltage DC Microgrid Applications

Touati,

Mahmoud,

Araújo

et al. 2024

Energies

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“…In refs. [8,29,30], indirect ITC based on an improved torque sharing function (TSF) is used to reduce the SRM's torque ripple. Furthermore, secondary objectives are also considered, like minimising copper loss and maximising the torque/ampere.…”

Section: Introductionmentioning

confidence: 99%

Torque ripple reduction of switched reluctance motor using direct instantaneous torque control and adaptive turn‐on technique for electric vehicle applications

Quraan

Számel

2023

IET Electric Power Appl

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Direct Instantaneous Torque Control (DITC) with an adaptive turn‐on angle technique is presented in this paper to improve the torque ripple of the Switched Reluctance Motor (SRM) for Electric Vehicle applications. Torque ripple suppression is achieved by employing two operating modes during the commutation interval. First, both the outgoing and incoming phase states are modified to track the required torque during the incoming phase's minimum inductance area. As soon as the incoming phase leaves its minimum inductance zone, the outgoing phase is demagnetised, and only the incoming phase state is modified for torque tracking. In addition, a closed‐loop regulator is used to dynamically control the turn‐on angle that drives the incoming current to reach its first peak at the instant of switching between the two operation modes when the rotor and stator poles initiate overlap, thus increasing the motor's efficiency. Simulation results showed that the proposed control method has superior advantages over the traditional DITC and Average Torque Controller. Furthermore, the simulation results were verified experimentally using a four‐phase 4kW, 8/6 SRM prototype.

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“…Novel SRM approaches are becoming less common. Algorithmically, TSFs have been improved online using methods such as an Ant Colony algorithm in [14] that optimizes switching angles, extending the speed range of the machine while minimizing rms current or [15] where the same is accomplished using a computationally expensive exhaustive search algorithm. DTC is optimized in [16], using recently developed wolf and coyote meta-heuristic approaches to reduce torque ripple and stabilize speed control as a substitute to traditional PI control of a DTC scheme.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Based Approach of SRM Current Profiling for Torque Control and Minimal Copper Losses

MacRae,

Abdel-Aziz,

Ahmed

et al. 2023

2023 IEEE International Electric Machines &Amp; Drives Conference (IEMDC)

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This paper presents a novel approach to current profiling for switched reluctance machines that eliminates torque ripple while inherently guaranteeing minimum copper losses, along with linear torque control. Minimization of copper losses increases machine efficiency, while eliminating torque ripple is the pre requisite for SRM use in applications such as traction vehicles. This paper presents theoretical optimal current profiles, initially without consideration of DC link voltage limitations. Utilizing a Genetic Algorithm in conjunction with current profiling limit envelopes, an optimized set of current profiles across the torque ripple free speed range of an exemplary 8/6 SRM is then created. The profiles characteristics are analyzed and compared with commonly used torque sharing function control to confirm the merits of the proposed method.

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Torque Sharing Function Optimization for Extended Speed Range Control in Switched Reluctance Motor Drive

Cited by 15 publications

References 17 publications

Fuzzy Super-Twisting Sliding Mode Controller for Switched Reluctance Wind Power Generator in Low-Voltage DC Microgrid Applications

Fuzzy Super-Twisting Sliding Mode Controller for Switched Reluctance Wind Power Generator in Low-Voltage DC Microgrid Applications

Torque ripple reduction of switched reluctance motor using direct instantaneous torque control and adaptive turn‐on technique for electric vehicle applications

Genetic Algorithm Based Approach of SRM Current Profiling for Torque Control and Minimal Copper Losses

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