An intelligent fuzzy PI controller based 33 level switched capacitor multilevel inverter for PMSM drives

Lakshmipriya, N.; Ananthamoorthy, N. P.; Ayyappan, S.; Hema, P.

doi:10.1016/j.matpr.2020.11.811

Cited by 3 publications

(5 citation statements)

References 13 publications

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“…Furthermore, an adaptive PI controller is used in [33] to reinforce the DClink voltage in a single-stage PV system linked to the grid [34] have conducted several comparative studies between conventional PID and fuzzy controllers to demonstrate the superiority of fuzzy controllers. A real-time implementation of an intelligent Fuzzy PI Regulator based on 33 level-switched multilevel capacitor inverters for permanent magnet synchronous motor (PMSM) drives has been suggested by [35]. The performance evaluation based on a neuro-fuzzy hybrid intelligent PI control method for four regions jointed thermal, hydropower plant is proposed by [36,37] presented in their work fuzzy logic as an intelligent controller to optimize PID parameters applied to control two active and reactive power channels based on the DFIG direct-current vector control design.…”

Section: Literature Reviewmentioning

confidence: 99%

Rooted Tree Optimization for Wind Turbine Optimum Control Based on Energy Storage System

Meghni¹,

Benamor²,

Hachana³

et al. 2023

Computers, Materials &Amp; Continua

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The integration of wind turbines (WTs) in variable speed drive systems belongs to the main factors causing low stability in electrical networks. Therefore, in order to avoid this issue, WTs hybridization with a storage system is a mandatory. This paper investigates WT system operating at variable speed. The system contains of a permanent magnet synchronous generator (PMSG) supported by a battery storage system (BSS). To enhance the quality of active and reactive power injected into the network, direct power control (DPC) scheme utilizing space-vector modulation (SVM) technique based on proportional-integral (PI) control is proposed. Meanwhile, to improve the rendition of this method (DPC-SVM-PI), the rooted tree optimization technique (RTO) algorithm-based controller parameter identification is used to achieve PI optimal gains. To compare the performance of RTO-based controllers, they were implemented and tested along with some other popular controllers under different working conditions. The obtained results have shown the supremacy of the suggested PI RTO algorithm compared to competing controllers regarding total harmonic distortion (THD), overshoot percentage, settling time, rise time, average active power value, overall efficiency, and active power steadystate error.

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Section: Literature Reviewmentioning

confidence: 99%

Rooted Tree Optimization for Wind Turbine Optimum Control Based on Energy Storage System

Meghni¹,

Benamor²,

Hachana³

et al. 2023

Computers, Materials &Amp; Continua

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“…The use of fuzzy logical inference systems for revenue requires member functions to be dense enough, accurate, and sufficient to reduce sensitivity to noise. In addition, the error change rate ∆e ω and error speed e ω of the fuzzy logic controller, where e ω and ∆e ω can be expressed as [62], are as follows:…”

Section: Fuzzy Logic Control (Flc)mentioning

confidence: 99%

“…The neuro fuzzy adaptive following control (MFC) is proposed in [70], where the NFC controller is trained online based on the errors that occur between the reference model output signal and the control system. In [62], a PD-improved nonlinear controller is described. The modification only includes disparity components that calculate feedback signals.…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

“…Numerous techniques of designing a controller based on an ANN have been proposed [62], because it has the ability to generate an ultimate nonlinear control signal due to the capability to express arbitrary nonlinear mapping, self-adaptation, and real-time online training. A PMSM with the vector control method based on ANN's online self-adjusting speed control is proposed in [65].…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

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Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

2022

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The permanent magnet synchronous motor (PMSM) is a highly efficient energy saving machine. Due to its simple structural characteristics, good heat radiation capability, and high efficiency, PMSMs are gradually replacing AC induction motors in many industrial applications. The PMSM has a nonlinear system and lies on parameters that differ over time with complex high-class dynamics. To achieve the excessive performance operation of a PMSM, it essentially needs a speed controller for providing accurate speed tracking, slight overshoot, and robust disturbance repulsion. Therefore, this article provides an overview of different robust control techniques for PMSMs and reviews the implementation of a speed controller. In view of the uncertainty factors, such as parameter perturbation and load disturbance, the H∞ robust control strategy is mainly reviewed based on the traditional control techniques, i.e., robust H∞ sliding mode controller (SMC), and H∞ robust current controller based on Hamilton–Jacobi Inequality (HJI) theory. Based on comparative analysis, this review simplifies the development trend of different control technologies used for a PMSM speed regulation system.

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“…Modern and intelligent control techniques can be adopted instead of PID-type controllers to enhance the operational performance of PMSM (Liu et al, 2009). Recently, implementations of different types of sliding mode control (SMC) structures (Tavoosi, 2020), adaptive control (Zhang et al, 2021) and intelligent control (Lakshmipriya et al, 2021) have been proposed in the literature. Clearly, SMC provides good robustness and tracking Novel tilt integral sliding mode controller 455 performance in the presence of inherent parameter variations, disturbances and unmodeled system dynamics.…”

Section: Introductionmentioning

confidence: 99%

Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor

Çalgan

2021

COMPEL

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Purpose This study aims to design and implement a novel tilt integral sliding mode controller and observer for sensorless speed control of a permanent magnet synchronous motor (PMSM). Design/methodology/approach A control strategy combining the tilt integral derivative (TID) with sliding mode control (SMC) is proposed to determine the tilt integral sliding mode manifold. Using this manifold, tilt integral sliding mode controller (TISMC) and observer (TISMO) are designed. The stabilities are verified by using Lyapunov method. To prove the effectiveness and robustness of proposed methods, sensorless speed control of PMSM is performed for various operating conditions such as constant and variable speed references, load disturbance injection, parameter perturbation, whereas sensor noises are not taken into account. The performance of proposed method is compared with TID controller, proportional integral derivative controller and conventional SMO. Findings Simulation results demonstrate that TISMC and TISMO have better performance in all operating conditions. They are robust against parameter uncertainties and disturbances. TISM based sensorless control of PMSM is well guaranteed with superior performance. Originality/value The proposed method has not been tackled in the literature. By combining TID and SMC, novel tilt integral sliding manifold is presented and used in designing of the controller and observer. It is proven by Lyapunov method that errors converge to zero.

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An intelligent fuzzy PI controller based 33 level switched capacitor multilevel inverter for PMSM drives

Cited by 3 publications

References 13 publications

Rooted Tree Optimization for Wind Turbine Optimum Control Based on Energy Storage System

Rooted Tree Optimization for Wind Turbine Optimum Control Based on Energy Storage System

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor

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