Robust ANFIS Vector Control of Induction Motor Drive for High-Performance Speed Control Supplied by a Photovoltaic Generator

Regaya, Chiheb Ben; Farhani, Fethi; Hamdi, Hichem; Zaafouri, Abderrahmen; Châari, Abdelkader

doi:10.37394/23203.2020.15.37

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…where I pv is the output current of solar cells (ampere); I ph is the photocurrent (ampere); V pv is the output voltage of solar cells (volt); R sh and R s are the parallel and series resistance, A boost converter is a DC-to-DC power converter with an output voltage greater than its input (Chiheb et al, 2020;Mahbouba et al, 2022a). The power generated by the PV panel is fed to a boost converter, which is driven using the pulse width modulation (PWM) from a MPPT controller as shown in Figure 3.…”

Section: Solar Cell and Static Boost Converter Modelsmentioning

confidence: 99%

A new MPPT controller based on a modified multiswarm PSO algorithm using an adaptive factor selection strategy for partially shaded PV systems

Ben Regaya,

Farhani,

Hamdi

et al. 2024

Transactions of the Institute of Measurement and Control

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Maximum power point tracking (MPPT) controller is the main element in photovoltaic (PV) systems, which is used to ensure maximum power extraction under different meteorological conditions. A MPPT controller can guarantee good performance criteria even in the presence of climatic changes. To achieve this goal, several techniques have been proposed in the literature to improve robustness of the PV system control, such as artificial intelligence and multiswarm particle swarm optimization (MSPSO) algorithm. Previous research on classical MSPSO has shown that the algorithm search behavior cannot find the optimal solution for certain problems. In this context, we investigate the design of a new MPPT controller based on a modified version of heterogeneous multiswarm particle swarm optimization algorithm using an adaptive factor selection strategy (FMSPSO) for PV systems. The proposed FMSPSO can improve the tracking capability with high accuracy, less oscillations, and high robustness. To validate the proposed solution, a simulation and experimental benchmarking of a PV system are presented and analyzed. The obtained results show the effectiveness of the proposed solution compared with the classical MSPSO, fuzzy logic, and perturb and observe (P&O) control presented in other recent works.

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Section: Solar Cell and Static Boost Converter Modelsmentioning

confidence: 99%

A new MPPT controller based on a modified multiswarm PSO algorithm using an adaptive factor selection strategy for partially shaded PV systems

Ben Regaya,

Farhani,

Hamdi

et al. 2024

Transactions of the Institute of Measurement and Control

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“…Triangles or Triangular Membership Function (TMF) have been frequently used in several applications and are preferred due to simplicity, easy implementation, symmetrical along the axis [42]. The Fuzzy Inference Systems (FIS) combine the human knowledge to control the system [43]. Fig.…”

Section: Logic Control and Switching Generationmentioning

confidence: 99%

Performance Analysis of Universal Power Quality Conditioner Systems Based on Seven-level NPC Inverter Using PD-SPWM with Fuzzy Control Scheme

Salim¹

2022

Period. Polytech. Elec. Eng. Comp. Sci.

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This paper presents novel Unified Power Quality Conditioner (UPQC) system based on seven-level Neutral Point Clamped (NPC) inverter using combined PD-SPWM and fuzzy control scheme. The proposed UPQC is adopted to mitigate source current harmonics and compensate all voltage disturbances simultaneously. It is designed by the combination of series and shunt Active Filters (AFs) connected by a common DC link capacitor. The DC voltage at common DC bus is maintained constant using proportional integral voltage controller. The Synchronous Reference Frame (SRF) method is used to get the shunt APF reference signals and the power reactive theory (P-Q theory) for the series APF. Conventional control schemes require complex calculations, the use of intelligent systems help to reduce the control system size and the operation complexity. The shunt and series Active Power Filter (APF) reference signals derived from the control algorithm are injected in Fuzzy intelligent controllers to generate switching signals. The functionality of proposed UPQC system and its control system is evaluated using Matlab-Simulink software and SimPowerSystem Toolbox under various operation conditions in cases of most common power quality problems such as voltage sag, voltage swell, current harmonic compensation of nonlinear loads and unbalanced load. The simulation results show UPQC performances to improve the power quality in steady and transient conditions operation at the point of common coupling on power distribution under unbalanced and distorted voltage conditions.

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“…[17][18][19] In particular, significant progress has been made in dealing with parameter perturbations and external disturbances of motor drive systems based on fuzzy methods, [20][21][22][23] and in recent years, more scholars have further combined this method with neural networks, and the control improvement effect is remarkable. 24,25 Furthermore, the influence of nonlinear factors of the feed system, such as clearance 26 and input saturation, 27 on the motion accuracy has also been analyzed and improved. In summary, the machine tool feed drive system is a crucial component of highend CNC machine tools, and its accuracy is essential to determine the performance and accuracy of machine tools.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty analysis of motion accuracy on single-axis feed drive systems

Quan,

Zhao

2024

Advances in Mechanical Engineering

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The use of mechatronic integrated equipment, such as servo feed drive systems, has become increasingly important in high-end manufacturing, aerospace, and semiconductor industries. However, while advancements in modeling and analysis have improved deterministic feed systems, there is a lack of research into uncertain motion accuracy due to random factors in actual working conditions. This paper aims to address this issue by analyzing the uncertainty of motion accuracy in single-axis feed drive systems. Random factors already impact both positioning accuracy and repeatability, while dynamic errors are reflected in the mean and variance of following errors. The study also considers the impact of disturbance uncertainty, parameter uncertainty, and model uncertainty on motion accuracy. To investigate the impact of these sources of uncertainty on a six-degree-of-freedom linear motor feed system, a simulation example using the Monte Carlo simulation algorithm was utilized. The analysis revealed that uncertainty indeed has an impact on motion accuracy. This research will help identify and improve random errors in servo feed systems, ultimately leading to the development of strategies for reducing motion accuracy uncertainty and enhancing the accuracy and reliability of feed systems in high-end manufacturing, aerospace, and semiconductor industries.

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Robust ANFIS Vector Control of Induction Motor Drive for High-Performance Speed Control Supplied by a Photovoltaic Generator

Cited by 15 publications

References 22 publications

A new MPPT controller based on a modified multiswarm PSO algorithm using an adaptive factor selection strategy for partially shaded PV systems

A new MPPT controller based on a modified multiswarm PSO algorithm using an adaptive factor selection strategy for partially shaded PV systems

Performance Analysis of Universal Power Quality Conditioner Systems Based on Seven-level NPC Inverter Using PD-SPWM with Fuzzy Control Scheme

Uncertainty analysis of motion accuracy on single-axis feed drive systems

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