Intelligent Optimization of Switched Reluctance Motor Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm for Improved Performance

Abunike, Chiweta E.; Okoro, Ogbonnaya I.; Aphale, Sumeet S.

doi:10.3390/en15166086

Cited by 6 publications

(5 citation statements)

References 53 publications

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“…This statistical tool constructs an empirical model of a response by considering input variables. The responses of various objectives are assessed at different points in space, allowing the evaluation of responses at additional points in the design space through interpolation [61].…”

Section: Response Surface Methods (Rsm)mentioning

confidence: 99%

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Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Abunike,

Okoro,

Far

et al. 2023

IEEE Access

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Flux switching machines play a crucial role in emerging sectors such as renewable energy, electric vehicles, and the aerospace industry. Recent advancements have underscored their potential for achieving high torque density, effective heat management, and flux-weakening capabilities. This paper provides a comprehensive review of the design optimization of these machines, offering a unique contribution, as no previous attempts have delved into a detailed exploration of various optimization techniques specific to this technology. Special attention is given to state-of-the-art technologies related to multi-objective optimization and the performance analysis of the three variants: permanent magnet, wound-field, and hybrid excited. The review highlights and compares several optimization strategies from recent research, revealing research gaps in integrating advanced control algorithms, thermal, vibroacoustic, and structural models into the optimization design process of these machines. Furthermore, this review identifies essential trends in optimization development, offering valuable insights and future perspectives for these machines across diverse applications.

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Section: Response Surface Methods (Rsm)mentioning

confidence: 99%

“…• Efficiency: FSMs tend to have high efficiency levels, especially in optimized configurations, owing to their improved flux paths and reduced losses [1]. SRMs also exhibit good efficiency, particularly for high-speed applications [61]. Syn.…”

Section: Comparison Of Flux Switching Machines With Other Machine Typesmentioning

confidence: 99%

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Abunike,

Okoro,

Far

et al. 2023

IEEE Access

Self Cite

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show abstract

“…For the parameterized models of steering components, the response surface functions are constructed using Genetic Aggregation (GA)method [15], Neural Network (NN) method [16], and Kriging (K) method [17]. Since P10 is determined by P9 and P6, the fitting effects of P6, P8, and P9 will be verified.…”

Section: Fitting Of Response Surface Functionsmentioning

confidence: 99%

Lightweight steering equipment based on prestressed modal analysis

Wang

2024

J. vibroeng.

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As the key component to control the driving direction of the vehicle, the steering device always bears large vibration and load. In order to improve structural performance and reduce costs, a multi-objective optimization method based on the results of prestressed modal analysis was proposed, which can achieve significant lightweight and cost-effectiveness improvement. Based on the principle and working characteristics of the steering device, the minimum value of mass, minimum value of maximum stress, maximum value of equivalent stiffness were set as optimization objectives. Through finite element analysis, the prestressed modal module was constructed, and the strength and modal characteristics of the steering device were obtained. In order to verify the accuracy of prestressed modal analysis, the vibration testing experimental platform was built in a non free state. The excitation and response signals can be obtained through sensors and data acquisition devices and used as input and output data. According to the comparative analysis of simulated vibration modes, it can be concluded that the coupling analysis of strength and mode is more in line with actual boundary conditions and has high reliability. The DOE (Design of Experience) method was adopted to construct discrete corresponding values between design variables and optimization objectives based on the results of prestressed modal analysis. In order to better evaluate the cost-effectiveness of lightweight, a comparative analysis was conducted on the results of primary and secondary lightweight. The results show that the prestressed modal analysis method can achieve good dynamic analysis accuracy. Without reducing strength and equivalent stiffness, the mass of the steering device can be reduced by 14 %, achieving high economic benefits.

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“…Optimizing the structure [8][9][10] and control [11][12][13][14][15][16] of SRMs are two ways to reduce the ripple. Among them, advanced control strategies are more commonly used and effective.…”

Section: Introductionmentioning

confidence: 99%

Direct Instantaneous Torque Control of SRM Based on a Novel Multilevel Converter for Low Torque Ripple

Cai

Dong

Liu

et al. 2023

WEVJ

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The torque ripple of a switched reluctance motor (SRM) limits its application in electric vehicles. This paper proposes a DITC system for SRMs based on a novel multilevel converter (MLC), which aims at the problem that the torque ripple cannot be effectively suppressed for the conventional direct instantaneous torque control (DITC) of an SRM due to the limitation of the DC bus voltage in the asymmetric half-bridge converter (AHBC) and the single control strategy formulated in the commutation region. Based on the advantages of fast excitation and fast demagnetization for the proposed MLC and the torque distribution characteristics for each phase winding in the commutation region, a novel torque hysteresis control strategy is developed to improve the torque-following ability of the DITC and achieve the purpose of minimizing the torque ripple in the commutation region. In addition, multiobjective optimization control of the motor is carried out to improve the efficiency of the DITC system while suppressing the torque ripple. The effectiveness of the proposed SRM drive scheme is verified by experiment, which is of great significance for the application of SRMs in electric vehicles.

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Intelligent Optimization of Switched Reluctance Motor Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm for Improved Performance

Cited by 6 publications

References 53 publications

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Lightweight steering equipment based on prestressed modal analysis

Direct Instantaneous Torque Control of SRM Based on a Novel Multilevel Converter for Low Torque Ripple

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