Analysis and Implementation of ANFIS-based Rotor Position Controller for BLDC Motors

Navaneethakkannan, C.; Sudha, M.

doi:10.6113/jpe.2016.16.2.564

Cited by 12 publications

(4 citation statements)

References 17 publications

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“…To control the BLDC motor under steady-state and transient conditions Navaneethakkannan and Sudha [14] developed an Adaptive Neuro-Fuzzy Interference System (ANFIS) which resolves the nonlinearities and mitigates the torque ripple and provides high starting torque. ANFIS controller reduces the settling time and increases the rotor position by selecting the suitable controller using the learning algorithm.…”

Section: Goswami and Joshimentioning

confidence: 99%

Improvement of torque undulation in BLDC using SEPIC and common end diode clamped three-level inverter

N¹,

Kavaskar²,

Hariramakrishnan³

2021

IJATEE

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Brushless Direct Current (BLDC) motor is a 3-phase brushless permanent sine wave motor fed from an adjustable oscillated inverter managed through a halleffect sensor. A BLDC motor is a DC motor with an armature on the stator side and a field winding on the rotor side. BLDC is an improved 3-phase brushless permanent magnet sine wave motor where Sinusoidal Counter-Electromotive Force (SCE) is replaced by Trapezoidal Counter-Electromotive Force (TCE) in BLDC motor. The turn-off region in the counter-Electromotive Force (emf) of a BLDC motor must be smaller to commutate the phase current of the motor [1]. In 120 ° mode, trapezoidal back-emf will be constant for producing smooth torque. To turn off armature current, electronic commutation is replaced in BLDC motor, which abolishes the problems associated with firing and enervating, thereby making a BLDC a robust machine [1].*Author for correspondence BLDC drive has been replaced from Induction Motor (IM) drive in servo applications [2-4] with improved power factor. To improve the speed and to provide smooth torque during transient conditions, torque and flux are controlled using conventional two-level inverter systems. The phase current of the inverter gets distorted, which produces torque distortion in a conventional method. Several converter topologies with DC-DC converters are suggested to improve the torque distortion. Conventional three-level inverters create large back emf and fast switching action during high-speed operation. The three-level inverter produces a large current ripple which leads to torque ripple and vibration. The problem associated can be reduced by replacing conventional three-level inverter with Single-Ended Primary Inductor (SEPI) converter fed BLDC motor [5,6]. The main goal of our suggested method is to minimize the torque distortion and improve the performance of the BLDC motor.

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Section: Goswami and Joshimentioning

confidence: 99%

Improvement of torque undulation in BLDC using SEPIC and common end diode clamped three-level inverter

N¹,

Kavaskar²,

Hariramakrishnan³

2021

IJATEE

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“…On the other hand, different researchers have applied trained feedforward of ANFIS based on several algorithms. Premkumar introduced ANFIS online-based GA-PSO optimized BLDC motor speed control has been by using a hybrid algorithm [15], while other studies [16,17] introduced ANFIS based rotor position control for DC motor. A novel bacterial Foraging PSO and BAT, ANFIS Optimization Algorithms based speed control has been introduced to (MC)-fed brushless dc motor, where the results proved superior performance to other techniques under various operation conditions [18].…”

Section: Introductionmentioning

confidence: 99%

Speed Control of Direct Current Motor Using ANFIS Based Hybrid P-I-D Configuration Controller

Guo

Mohamed

2020

IEEE Access

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Considering DC motor's non-linear characteristics, design challenges and mechanical variation due to the operation conditions, the precise controller cannot be performed using the traditional control alone. This study presents an innovative method to optimize the direct current motor speed by decreasing the transient response characteristics such as overshoot, settling time and rise time. In this study, several PID's configurations and ANFIS controllers have been performed for direct current motor speed control. The suggested techniques were compared to each other to validate the superiority of the highest controller performance. Training data for ANFIS was generated using standard configuration, cascade and dual configuration. The dual configuration is a hybrid of two controller's data manipulated using a special algorithm. The results obtained using Matlab Simulink tools demonstrated the efficiency of ANFIS based dual PID and ANFIS based PD methods for controlling the motor speed. The overall simulation results showed that the models have a rapid response, small overshoot, superior dynamics and robustness, and static performance. The techniques presented herein outperform the traditional control methods for obtaining highly accurate control.

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“…Among them, Adaptive Networkbased Fuzzy Inference System (ANFIS) has both the powerful knowledge expression ability of Fuzzy control and the self-learning ability of Neural Network, which effectively solves the control problems of complex, uncertain systems [22][23][24]. The ANFIS controller has been applied in the DC motor field, and it has been proved that the ANFIS controller has significant advantages over the traditional PID controller [25][26][27][28]. Because of the above reasons, this paper uses the ANFIS controller as the speed controller of the asynchronous motor and combines it with the vector control algorithm to get a better speed control effect.…”

mentioning

confidence: 99%

Electrical Aircraft Ship Integrated Secure and Traverse System Design and Key Characteristics Analysis

et al. 2022

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The shipborne helicopter is an essential maritime combat force of the modern navy. However, as the most advanced shipborne helicopter landing assistance system, the ASIST still suffers from the significant disadvantage of the uncontrollable driving speed of the claw. This paper aims to propose an implementation scheme of the EASIST transmission system by selecting an asynchronous motor as the direct power source to solve the problem. On this basis, the speed controller is built by combining the vector control algorithm with an ANFIS control algorithm. In addition, the capture and traction characteristics of EASIST are analyzed, and the capture track of the claw and the maximum load in the traction process are obtained. Finally, the dynamics model of the transmission system is established by power bond graph theory, and the system simulation test is carried out. Simulation results show that the proposed EASIST reduces the capture time by about 60% and dramatically reduces the capture speed. And when towing the shipborne helicopter, EASIST can keep a good speed-tracking effect under the action of wildly varying load force. The research results of this paper are of great significance to broaden the application scope of ASIST and improve the traction efficiency, which plays a vital role in enhancing the combat effectiveness of shipborne helicopters.

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Analysis and Implementation of ANFIS-based Rotor Position Controller for BLDC Motors

Cited by 12 publications

References 17 publications

Improvement of torque undulation in BLDC using SEPIC and common end diode clamped three-level inverter

Improvement of torque undulation in BLDC using SEPIC and common end diode clamped three-level inverter

Speed Control of Direct Current Motor Using ANFIS Based Hybrid P-I-D Configuration Controller

Electrical Aircraft Ship Integrated Secure and Traverse System Design and Key Characteristics Analysis

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