SHE Controlled CHB 7-Level Inverter with Unequal DC Sources using MPSO Algorithm

Manohar, Vignesh; Devi, V. Lakshmi; Adinarayana,

doi:10.1109/icscan.2018.8541237

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…The RK search mechanism RUN uses a search mechanism (S m ) developed on the RK method for global exploration of the promising area in the search space using the set of randomly generated solutions. Accordingly, S m is defined as (24).…”

Section: 12mentioning

confidence: 99%

“…Subsequently, a species search technique called particle swarm optimization (PSO) was successfully used to eliminate the harmonics from MLI with both equal and non‐equal DC sources [15]. A modified PSO (M‐PSO) algorithm was used to solve the SHE‐equations in [24], giving better results than the basic PSO algorithm. In [25], SHE‐PWM was verified using a new evolutionary swarm intelligence approach called Teaching Learning Based Optimization (TLBO).…”

Section: Introductionmentioning

confidence: 99%

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Runge–Kutta optimization‐based selective harmonic elimination in an H‐bridge multilevel inverter

Sajid

Sarwar

Tariq

et al. 2023

IET Power Electronics

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The application of iterative techniques for solving the Selective Harmonic Elimination Pulse Width Modulation (SHE‐PWM) problem, such as the Newton–Raphson (NR) method, can tend to get stuck at local optima in the solution space. Additionally, these methods may be sensitive to the initial value estimation of the solution. In contrast, metaheuristic approaches demonstrate resilience in seeking out the optimal solution. As such, this study utilizes the Runge–Kutta (RUN) metaheuristic optimization algorithm to demonstrate the SHE‐PWM technique in multilevel inverters (MLIs), including 5‐ and 7‐level modified H‐bridge (MHB) topology and a 9‐level asymmetric cascaded H‐bridge (CHB) inverter topology. The switching angles are obtained by varying the modulation index from 0.01 to 1.0 in steps of 0.01 for 5‐, 7‐, and 9‐level MLIs. The performance of the RUN algorithm in minimizing the total harmonic distortion (THD) value is verified through simulations in MATLAB/Simulink software. The superiority of RUN is established by comparing the results with state‐of‐the‐art metaheuristic algorithms, such as the Differential Evolution (DE), Genetic Algorithm (GA), and Grey Wolf Optimizer (GWO). Additionally, the switching angles obtained through RUN are validated by hardware experiments. According to the simulation and experimental results, the proposed RUN method exhibits better performance in terms of objective function values, algorithm robustness, fundamental harmonic magnitude, and THD values. The findings confirm the elimination of fifth harmonic, fifth, and seventh harmonics, and fifth, seventh, and ninth harmonics in 5‐, 7‐, and 9‐level MLIs, respectively.

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Section: 12mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Runge–Kutta optimization‐based selective harmonic elimination in an H‐bridge multilevel inverter

Sajid

Sarwar

Tariq

et al. 2023

IET Power Electronics

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“…An investigation of the methodology used to calculate torque ripple Subtract the greatest and lowest output torque numbers from each other to calculate torque ripple. [10]. To find the solution, formulas are used as, % Tavg = (Tmax − Tmin)/ Tmax (8) where, Tmax = Maximum torque, Tmin = Minimum torque, Tavg = Average torque.…”

Section: Impact Of Up and Down Climbingmentioning

confidence: 99%

“…The SRM is the most cost-effective electrical machine to manufacture [9]. When designing an SRM, it is possible to minimize the thermal load by carefully selecting the various sources of loss [10]…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Control of Switched Reluctance Motor for Electric Vehicles Applications

Mateen,

Saravanan,

Kumar

et al. 2023

First International Conference on Smart Systems and Green Energy Technologies

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Fuzzy logic control (FLC) can be used to mitigate the current ripple of electric vehicle (EV) switching reluctance motors. The main goal of this paper is to maintain a motor current value that fluctuates as little as possible while using SRM control with FLC. Depending on the speed of the motor, the PI controller is used to produce the reference current signals. For the controller's responsiveness in fault scenarios, the nonlinear model of the 10/8 SRM with symmetrical converter and C-code controller is applied during the simulation. FLC outperforms more traditional systems like hysteresis current control, according to studies of SRM current control under various fault scenarios.

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Comparative Performance analysis of Multilevel Inverter through meta heuristics

Pani

Guru

Puhan

et al. 2022

2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)

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SHE Controlled CHB 7-Level Inverter with Unequal DC Sources using MPSO Algorithm

Cited by 5 publications

References 14 publications

Runge–Kutta optimization‐based selective harmonic elimination in an H‐bridge multilevel inverter

Runge–Kutta optimization‐based selective harmonic elimination in an H‐bridge multilevel inverter

Fuzzy Logic Control of Switched Reluctance Motor for Electric Vehicles Applications

Comparative Performance analysis of Multilevel Inverter through meta heuristics

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