Whale Optimization Algorithm for PV Based Water Pumping System Driven by BLDC Motor Using Sliding Mode Controller

Malla, Siva Ganeh; Malla, Priyanka; Malla, Jagan Mohana Rao; Ruchira, A; Choudekar, Pallavi; Koilada, Rajesh; Sahu, Manoj Kumar

doi:10.1109/jestpe.2022.3150008

Cited by 60 publications

(26 citation statements)

References 28 publications

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“…This system offers several features such as no additional DC-DC converter hardware, sliding mode controller implementing sensorless speed controller, and hybrid whale optimizationperturbation and observation algorithm getting the maximum available power either in partially shaded and normally operating conditions. Because the applied technology fails to remove the chattering effect, there is a steady-state error around the state trajectory [52]. The passive-based control has been developed for grid-connected inverters.…”

Section: Resultsmentioning

confidence: 99%

Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities

Chang

Cheng

2022

Wireless Communications and Mobile Computing

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The combination of artificial intelligence of things (AIoT) and photovoltaic power generation can save energy and reduce carbon emissions and further promote the development of smart cities. In order to obtain the maximum power output from photovoltaic (PV) arrays, we can use optimal maximum power point tracking (MPPT) technique with AIoT sensing to improve system efficiency. The optimal MPPT technique is the finite-time terminal attractor (FTTA) based on the gradient particle swarm optimization (GPSO), which can be applied to track the maximum power of a PV array system. The FTTA not only provides fast finite-time convergence but also attenuates steady-state errors, making it ideal for nonlinear system applications. The GPSO is used to search the control parameters of the FTTA, which is able to find the global best solution. This avoids unmodeled dynamic behavior of the system excited by the quiver, which slows down the control convergence and prematurely traps the system into a local optimum. The MATLAB computer software is used to simulate the proposed PV maximum power point tracking system. The results show that more accurate and better tracking control of the PV array can be produced under partial shading conditions and then improve the steady-state and transient performance.

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Section: Resultsmentioning

confidence: 99%

Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities

Chang

Cheng

2022

Wireless Communications and Mobile Computing

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“…where conditions µ 1 , µ 2 > 0, 0 < δ 1 , δ 2 < 2, δ 2 > δ 1 are satisfied. The operator sgn( * ) represents the signum function and can be defined as (19).…”

Section: B Cft-smc Proposed Designmentioning

confidence: 99%

“…Due to the linear surface of traditional SMC and asymptotic stability problems with higher switching gain, it cannot be considered a robust feature for PMBLDCM applications [15]. Furthermore, fuzzy SMC is reported using an integral sliding surface for electric vehicle application [11], for water pump application [19] using PMBLDCM. Conventional SMCs demand a level of control gain to improve effective accuracy and stability, even though they have considerable chattering issues [12].…”

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confidence: 99%

Continuous Fast Terminal Sliding Surface-Based Sensorless Speed Control of PMBLDCM Drive

Kumar

Bhaskar

Behera

et al. 2023

IEEE Trans. Ind. Electron.

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Variable frequency drives (VFDs) have been used for position sensors for many years. Alternatively, reliable VFDs for smart autonomous systems require the simultaneous configuration of sensors and sensorless operation. This paper details the design and implementation of a continuous fast terminal (CFT) sliding mode controller (SMC) based speed controller and speed estimation through the CFT sliding mode observer (SMO) that accounts for iron loss while calculating total disturbances. The rotor speed dynamics of the PM brushless DC motor (PMBLDCM) drive system is first investigated considering lumped disruption (interference, parametric complexity, and non-linear dynamics). The built-in SMC can control the rotor speed in real time, as well as analyze and compensate for aggregated interruptions in rotor speed dynamics. Additionally, the field-oriented control (FOC) method is developed to maximize torque production while drastically minimizing torque ripples. With this approach, the zero torque pulsation constraint is gradually achieved at a wide speed range. The validation of the proposed CFT-SMC with FOC is carried out using simulation and experiments. According to the comparative study, the proposed sensorless control outperforms conventional methods due to the inclusion of iron loss. Index Terms-PM brushless DC motor, continuous fast terminal sliding mode controller, sensorless field-oriented control, torque ripple, voltage source inverter I. INTRODUCTIONLow-powered Electric vehicles and high precision industrial applications benefit from permanent magnet brushless DC motors (PMBLDCM) [1]. In addition to improving the torquespeed characteristics, the application would also increase the torque-weight ratio, improve control sensitivity, and reduce vibration. As a result of magnetic alignment and winding configuration, PMBLDC is characterized by a trapezoidal back electromagnetic force (EMF), which demands a specific control strategy to maintain the electromagnetic torque. Normally, PMBLDCM works in a six-step conduction mode, Manuscript

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“…Similar MPPT based pumping systems were dicussed in [14,15]. In addition, a PV-fed BLDC motor for a water pumping system without a battery is designed and implemented with a sensorless speed controller with a sliding mode controller (SMC), as highlighted in [16]. The proposed Hybrid Whale Optimization technique works effectively to extract the maximum power from the PV during both partial shading and normal conditions.…”

Section: Review Of Literaturementioning

confidence: 99%

Analysis of Grid-Interactive PV-Fed BLDC Pump Using Optimized MPPT in DC–DC Converters

Oliver¹,

Winston²,

Balachandran³

et al. 2022

Sustainability

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In solar photovoltaic (PV) system-based Brushless DC (BLDC) motors for water pumping application, the role of DC/DC converters is very important. In order to extract the maximum power from the PV array, an efficient DC/DC converter is essential at the intermediate stage. In this work, different DC/DC converter topologies suitable for BLDC motors are proposed. The converters are supported by an optimized maximum power point tracking system to provide a reliable operation. Recent optimization algorithms such as fuzzy logic, perturb and observe, grey wolf, and whale optimization are implemented with the PI controller in maximum power point tracking to maximize the conversion efficiency. The obtained results using SEPIC, LUO, and interleaved LUO converters provide a comparative study in the case of converter output, motor parameters, and grid output. The performance analysis on three different converters and multiple optimization methods are carried out. By analyzing the performance of different converter topologies, the interleaved LUO converter outperforms the other two converters with the results of a voltage gain ratio of 1:22, conversion efficiency of 98.3%, and grid current THD of 2.9%. Moreover, regarding the power quality aspect, the total harmonic distortion of the grid current is maintained below the IEEE-519 standard. In addition, the developed system has an advantage of operating both in stand-alone and grid-connected operation modes.

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Whale Optimization Algorithm for PV Based Water Pumping System Driven by BLDC Motor Using Sliding Mode Controller

Cited by 60 publications

References 28 publications

Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities

Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities

Continuous Fast Terminal Sliding Surface-Based Sensorless Speed Control of PMBLDCM Drive

Analysis of Grid-Interactive PV-Fed BLDC Pump Using Optimized MPPT in DC–DC Converters

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