Comparison of conventional &amp;amp; PID tuning of sliding mode fuzzy controller for BLDC motor drives

Navaneethakkannan, C.; Sudha, M.

doi:10.1109/iccci.2013.6466296

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…However, the control of the DFIM can be highly complex depending on the desired performance. This complexity is mainly due to the analytical model of the machine is non-linear, multi-variable, strongly coupled and very sensitive to variations in internal parameters and external disturbances [3], [4]. To solve this problem, several control algorithms of DFIM have been developed in the literature to improve its performance, robustness and stability.…”

Section: Introductionmentioning

confidence: 99%

High performance of sensorless sliding mode control of doubly fed induction motor associated with two multilevel inverters fed by VFDPC_SVM rectifier

Cherifi¹,

Miloud²

2020

IJEEI

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The purpose of this paper is to develop a robust sensorless control based on the sliding-mode observer applied to a doubly fed induction motor associated with two three-level NPC-type voltage inverters fed by PWM rectifier. In this context, the authors propose in the first part, and after the presentation of the model of three-level NPC-type voltage inverters, this type of inverter has several advantages over the standard two-level inverter, such as a greater number of levels in the output waveforms, give less harmonic distortion in voltage and current waveforms and lower switching frequencies. They also present the control strategy of three-phase pulse width modulation rectifier. They propose the virtual flux-based direct power control (DPC_VF) with vector modulation (SVM). This method is applied for the enhancement of network power quality by compensation of harmonic currents produced by a non-linear load, and good regulation of DC-bus voltage. The second part of the paper is dedicated to the presentation of the robust observer for sensorless speed control of doubly fed induction motor (DFIM), based on the sliding mode. Simulation results of this proposed system were analyzed using MATLAB environment.

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Section: Introductionmentioning

confidence: 99%

High performance of sensorless sliding mode control of doubly fed induction motor associated with two multilevel inverters fed by VFDPC_SVM rectifier

Cherifi¹,

Miloud²

2020

IJEEI

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“…The BLDC motor is fed by a three‐phase voltage source inverter (VSI) for electronically commutating the BLDC motor. In conventional scheme of BLDC motor drive as shown in Figure , the DC link voltage of the VSI is maintained at a constant value, and a pulse width modulation (PWM) based switching of VSI is used for speed control . Such type of control suffers from following disadvantages: High amount of harmonics current injection into the alternating current (AC) mains that leads to a very poor power factor (PF) and high distortion in supply current, which results in power quality indices which are not acceptable by international power quality standard such as IEC 61000‐3‐2 . The PWM‐based VSI requires a high switching frequency pulses for an effective control, which causes high switching losses in VSI. A large number of sensors and a complex control are required for achieving the speed control. High cost on account of requirement of large number of sensors and high‐end digital signal processor (DSP) for complex control.…”

Section: Introductionmentioning

confidence: 99%

“…The BLDC motor is fed by a three-phase voltage source inverter (VSI) for electronically commutating the BLDC motor. In conventional scheme of BLDC motor drive as shown in Figure 1, the DC link voltage of the VSI is maintained at a constant value, and a pulse width modulation (PWM) based switching of VSI is used for speed control [6][7][8]. Such type of control suffers from following disadvantages:…”

Section: Introductionmentioning

confidence: 99%

Power quality improvements in power factor correction Luo converter fed brushless direct current motor drive

Singh

Bist

2014

Int. Trans. Electr. Energ. Syst.

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Summary This paper presents a power factor correction (PFC) Luo converter based voltage source inverter (VSI) fed brushless direct current (BLDC) motor drive using a single voltage sensor. A single‐phase diode bridge rectifier followed by a Luo converter operating in discontinuous inductor current mode (DICM) is used for the direct current link voltage control and PFC operation at alternating current (AC) mains. The speed control is achieved by varying the direct current link voltage of VSI and electronically commutating the BLDC motor using fundamental frequency switching of VSI for reduced switching losses. The proposed PFC‐based Luo converter fed BLDC motor drive is designed, and its performance is simulated and validated experimentally for achieving a unity power factor at AC mains over a wide range of speed control at universal AC mains. The achieved power quality indices are observed under the acceptable limits of international power quality standard such as IEC 61000‐3‐2. Copyright © 2014 John Wiley & Sons, Ltd.

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“…The fuzzy sliding mode controller is proposed in order to eliminate the reaching time, the tracking error and the chattering problem. The main advantage of this method is that the robust behavior of the system is guaranteed and the performance of the system in the sense of removing chattering is improved [34] [36]. The parameter values (scaling factors, membership functions, rule term base) of the fuzzy sliding mode controller can be chosen by the MOGA and the MOPSO in such a way to obtain the best system behavior with respect to specific criteria.…”

Section: Fuzzy Logic Control-based Smc Controller (Flc-smc) Structurementioning

confidence: 99%

“…Recently, the swarm optimization techniques, particle swarm optimization (PSO) and Ant Colony (AC) techniques have been proposed to automatically tune the FLC parameters and the membership function [25]- [33]. The sliding mode control theory (SMC) based on the variable structure system can be the good choice especially for the complicated environment and systems with uncertainty disturbance [34]. The sliding mode control is robust to plant uncertainties, parameters variations and insensitive to external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion

El-Gammal¹

2014

JILSA

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This paper presents a closed-loop vector control structure based on adaptive Fuzzy Logic Sliding Mode Controller (FL-SMC) for a grid-connected Wave Energy Conversion System (WECS) driven Self-Excited Induction Generator (SEIG). The aim of the developed control method is to automatically tune and optimize the scaling factors and the membership functions of the Fuzzy Logic Controllers (FLC) using Multi-Objective Genetic Algorithms (MOGA) and Multi-Objective Particle Swarm Optimization (MOPSO). Two Pulse Width Modulated voltage source PWM converters with a carrier-based Sinusoidal PWM modulation for both Generator-and Grid-side converters have been connected back to back between the generator terminals and utility grid via common DC link. The indirect vector control scheme is implemented to maintain balance between generated power and power supplied to the grid and maintain the terminal voltage of the generator and the DC bus voltage constant for variable rotor speed and load. Simulation study has been carried out using the MATLAB/Simulink environment to verify the robustness of the power electronics converters and the effectiveness of proposed control method under steady state and transient conditions and also machine parameters mismatches. The proposed control scheme has improved the voltage regulation and the transient performance of the wave energy scheme over a wide range of operating conditions.

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Comparison of conventional & PID tuning of sliding mode fuzzy controller for BLDC motor drives

Cited by 9 publications

References 12 publications

High performance of sensorless sliding mode control of doubly fed induction motor associated with two multilevel inverters fed by VFDPC_SVM rectifier

High performance of sensorless sliding mode control of doubly fed induction motor associated with two multilevel inverters fed by VFDPC_SVM rectifier

Power quality improvements in power factor correction Luo converter fed brushless direct current motor drive

Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion

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