Artificial neural network controller for improved performance of brushless DC motor

Leena, N.; Shanmugasundaram, R.

doi:10.1109/epscicon.2014.6887513

Cited by 26 publications

(14 citation statements)

References 14 publications

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“…Another approach of the development of ANN are Artificial Neural Network Controllers (ANNC). Recently, several authors 13,14 used this controllers for several applications. The authors in Reference 13 use ANNC to replace PID controller in the control of DC motor to drive a robot arm.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several authors 13,14 used this controllers for several applications. The authors in Reference 13 use ANNC to replace PID controller in the control of DC motor to drive a robot arm. In addition, for the development and performance analysis of model reference adaptive controller for Brushless DC motor (BLDC) drives 13 .…”

Section: Introductionmentioning

confidence: 99%

“…The bidirectional converter is controlled to regulate the DC_Bus voltage within safe limits and simultaneously impose a given energy flow between the battery and the DC_Bus 1 . Many papers focused on regulating of the DC_Bus voltage by the control of bidirectional converter 5‐14 . The PID controllers are the most common used methods for the control of engineering application, which are processes the error signal into input signal by the aid of proportional factor (P), integrative action (I), and differential action (D).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, various artificial models implemented as controllers in several converters 8‐14 . One of the first examples of the use of ANN approach presented by Reference 8 based on feed forward neural network to overcome the power‐sharing issues and to regulate islanded micro grid voltage.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in Reference 13 use ANNC to replace PID controller in the control of DC motor to drive a robot arm. In addition, for the development and performance analysis of model reference adaptive controller for Brushless DC motor (BLDC) drives 13 . In addition, ANNC used also for voltage control for synchronous generator as presented in Reference 14.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent controller based energy management for stand‐alone power system using artificial neural network

Boujoudar

Azeroual

Moussaoui

et al. 2020

Int Trans Electr Energ Syst

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Summary Standalone Power Systems (SPS), formerly known as Micro Power Systems, is an off‐grid electricity system for locations that are not fitted with an electricity generation. Typical SPS include one or more renewable electricity sources, energy storage, and regulation. In this paper, supervision of hybrid Photovoltaic system and battery storage is presented. The power balance of the hybrid system is made on an intelligent supervisor based on Artificial Neural Network Controller (ANNC). The main purpose of this paper is the control of DC/DC Bidirectional Converter (DBC), which connect the Li‐ion battery with the DC_Bus of Stand‐alone Power Systems (SPS). Based on the use of artificial neural network controller, which are effective tools for highly nonlinear system. The proposed technique does not require a pre‐defined model of power DBC only depend on power and voltage system data. Simulation for stand‐alone systems performed at Matlab Simulink. The comparison with PID controller for the result obtained of DC_Bus voltage, and power demanded, demonstrate the robustness, and satisfactory performance of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%