Speed control of Brushless DC motor using bat algorithm optimized Adaptive Neuro-Fuzzy Inference System

Premkumar, K.; Manikandan, B.V.

doi:10.1016/j.asoc.2015.04.014

Cited by 97 publications

(45 citation statements)

References 15 publications

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“…To tune the control parameters including the membership functions and fuzzy rules, some researchers focused on the adaptive fuzzy control (AFC) schemes with on-line parameter learning [15][16][17][18]. The AFC systems can tune its controller parameters to achieve favorable performance by designing parameter adaptation laws rather than requiring expert experience.…”

Section: Introductionmentioning

confidence: 99%

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On-line constructive fuzzy sliding-mode control for voice coil motors

Hsu

Wong

2016

Applied Soft Computing

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Section: Introductionmentioning

confidence: 99%

“…Though the control performance in [15][16][17][18][19][20] is acceptable after controller parameters learning, the number of fuzzy rules should be determined by trial-and-error. It is not an easy task to determine an appropriate number of fuzzy rules.…”

Section: Introductionmentioning

confidence: 99%

On-line constructive fuzzy sliding-mode control for voice coil motors

Hsu

Wong

2016

Applied Soft Computing

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“…Various control plans have been used for enhancing the angular velocity control execution of Brushless DC motor drives. Therefore, interests in rising canny control frameworks for Brushless DC motor drive has expanded altogether and various intelligent control plans for Brushless DC motor were composed according to linear and non-linear models [12]. Section II describes mathematical modelling of Brushless DC motor.…”

Section: Introductionmentioning

confidence: 99%

Speed Characteristics of Two-Fold Sliding Mode Control of BLDC Motor

Murali¹,

Rao²

2019

IJRTE

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BLDC motors are generally implemented in copious industrial processes because of its high proficiency, large torque and minimum volume. The variation in load torque, causes the variation of speed in BLDC motor, which leads the complete system in unstable condition. In this paper a robust first-order SM controller scheme depends on twofold controlling algorithm for angular velocity and also current control in Brushless DC motor to attenuate the chattering problems. Two cascaded sliding mode controllers of first-order are used and first sliding mode controller generates stator currents based on speed error then the second SM controller generates voltage based on current-error in stator which runs the universal bridge by this controlled voltage source. In addition to the method suggested by Slotine, two feed forward loops are added to both speed and current errors to improve the response. The existing sliding-mode control is unresponsive to uncertainties and will cause undesirable chattering problems. To overcome this snag, a manual control law in conjunction with Sliding mode control is utilized that provides smooth and chattering free actual control signal. The overall system stability performance is implemented in MATLAB/SIMULINK and simulation results shows that proposed scheme is robust with respect to uncertainty in the system

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“…Firstly, the steady-state speed is determined by the applied voltage, so we can make the motor run at any desired speed in either direction simply by applying the appropriate magnitude and polarity of the armature voltage [8]. Secondly, the torque is directly proportional to the armature current, which in turn depends on the difference between the applied voltage V and the back e.m.f.…”

Section: Four-quadrant Operation Of Bldc Motormentioning

confidence: 99%

Modeling and Performance Analysis of BLDC Motor under Different Operating Speed Conditions

Karthik¹

2017

ijecs

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Abstract:The modeling and performance analysis of BLDC motor under different operating speed conditions has been presented in this paper. BLDC motors have been gaining attention from various Industrial and household appliance manufacturers, because of its high efficiency, high power density, and low maintenance cost. After many research and developments in the fields of magnetic materials and power electronics, their applications to electric drives have increased to a significant extent. In this paper, the modeling of Brushless DC motor drive system along with control system for speed and current has been presented using MATLAB / SIMULINK. In order to evaluate the model, various cases of simulation studies are carried out. Test results thus obtained show that the model performance is satisfactory.

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Speed control of Brushless DC motor using bat algorithm optimized Adaptive Neuro-Fuzzy Inference System

Cited by 97 publications

References 15 publications

On-line constructive fuzzy sliding-mode control for voice coil motors

On-line constructive fuzzy sliding-mode control for voice coil motors

Speed Characteristics of Two-Fold Sliding Mode Control of BLDC Motor

Modeling and Performance Analysis of BLDC Motor under Different Operating Speed Conditions

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