OPTIMAL CURRENT CONTROL METHOD FOR EFFICIENCY IMPROVEMENT OF BLDC MOTOR

2017 ◽  
Vol 17 (6) ◽  
pp. 1581-1586
Author(s):  
Seon-Hwan Hwang ◽  
Tae-Uk Jung
Keyword(s):  
Control Method ◽  
Current Control ◽  
Efficiency Improvement ◽  
Bldc Motor ◽  
Optimal Current

Linear quadratic-based optimal current control of BLDC motor minimizing control error and considering accurate finite element model

2016 ◽  
Vol 35 (6) ◽  
pp. 2063-2073 ◽  
Author(s):  
Jakub Bernat ◽  
Slawomir Jan Stepien ◽  
Artur Stranz ◽  
Paulina Superczynska
Keyword(s):  
Finite Element ◽  
Quadratic Forms ◽  
Control Method ◽  
Infinite Horizon ◽  
Current Control ◽  
Bldc Motor ◽  
Linear Quadratic ◽  
Control Error ◽  
Content Type ◽  
Optimal Current

Purpose Brushless DC (BLDC) motors are commonly used in the industry. The improvement of power switching electronic elements, especially integrated circuits, has led to the development and improvement of control strategies. The purpose of this paper is to apply the well-known LQR control method for the highly accurate model of the BLDC motor, which is a must for the control system to be optimal and stable. Design/methodology/approach The employed distributed parameter finite element motor model uses a state vector which is dependent not only on time but also on space configuration, thus enabling the end-winding effect, cogging torque or magnetic saturation to be taken into account. The adopted infinite horizon linear quadratic-based controller aims at optimally minimizing current control error considering the energy delivered to the motor. For this reason, the relationship between the quadratic forms of the performance index is investigated and the reference currents’ influence on the results was studied. The presented methodology was confirmed with the numerical analysis of the problem. Findings It was found how the configuration of the optimal control objective function influences the performance and the stability of the drive system subject to energy delivery minimization. An exact configuration was calculated for which the control error was reasonably small. The applicability of the infinite horizon optimal current control for the BLDC drive applications was proved. Originality/value The authors introduced an innovative approach to the well-known control methodology and settled their research in the newest literature coverage for this issue.

scholarly journals Design and Development of Experimental Based Phase Modulated Model Predictive Control for Torque Ripple Reduction of MMC Fed BLDC Motor

2021 ◽  
Author(s):  
Rahul Jaiswal ◽  
◽  
Anshul Agarwal ◽  
Richa Negi ◽  
Abhishek Vikram ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Torque Ripple ◽  
Current Control ◽  
Experimental Result ◽  
Control Technique ◽  
Switching Frequency ◽  
Bldc Motor ◽  
Brushless Dc

This article represents the torque ripple performance of modular multilevel converter (MMC) fed brushless dc (BLDC) motor using different current control technique. For reducing the ripple current in BLDC motor, a phase-modulated model predictive control (PMMPC) technique has been proposed. The stator ripple current is almost negligible using PMMPC. This PMMPC current control method is a significant minimization of torque ripple in BLDC motor. A comparative torque ripple behaviour of MMC fed BLDC motor has been done using phase-modulated model predictive control, model predictive control (MPC) and proportional integral (PI) control at different switching frequency. It has been observed that a PMMPC current control technique is more efficient as compared to the MPC as well as PI current control technique. It has also been observed that the torque ripple performance is improved while using PMMPC as compared to the MPC and PI controller. Simulation results have been verified with the help of experimental result and these results are obtained in good agreement to the simulated results.

scholarly journals Solar PV fed non-isolated DC-DC converter for BLDC motor drive with speed control

2019 ◽  
Vol 13 (1) ◽  
pp. 313
Author(s):  
G. G RajaSekhar ◽  
Basavaraja Banakar
Keyword(s):  
Control Method ◽  
Speed Control ◽  
Current Control ◽  
Operating Conditions ◽  
Switching Frequency ◽  
Bldc Motor ◽  
Solar Pv ◽  
Pv System ◽  
High Switching Frequency ◽  
Interleaved Boost Converter

<p>Brushless DC motors (BLDC) are predominantly used these days due to its meritorious advantages over conventional motors. The paper presents PV fed BLDC speeds control system. A closed-loop interleaved boost converter increases the voltage from PV system to required level. Converter for BLDC operates at fundamental switching frequency which reduces losses due to high switching frequency. Internal current control method is developed and employed for the speed control of PV fed BLDC motor by sensing the actual speed feedback. Internal current controlled PV fed BLDC drive is analyzed with increamental speed with fixed torque and decreamental speed with fixed torque operating conditions. Also the system with speed control is verified for variable torque condition. The system is developed and results are developed using MATLAB/SIMULINK software.</p><p><em> </em></p>

BLDC Motor Control System Based on Quadratic Single Neuron Adaptive PID Algorithm

2014 ◽  
Vol 6 (1) ◽  
pp. 12-25
Author(s):  
Xiaoyuan Wang ◽  
Tao Fu ◽  
Xiaoguang Wang
Keyword(s):  
Pid Controller ◽  
Single Neuron ◽  
High Efficiency ◽  
Control Method ◽  
Current Control ◽  
Operating Conditions ◽  
Regulation System ◽  
Bldc Motor ◽  
Motor Speed ◽  
Pid Algorithm

Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. In view of the problem that the current control method of speed regulation system of BLDC motor has poor control effect caused by fixed parameters of PID controller, an adaptive PID algorithm with quadratic single neuron (QSN) was designed. Quadratic performance index was introduced in adjustment of weight coefficients; expected optimization effect was gotten by calculating control law. QSN adaptive PID controller can change its parameters online when operating conditions are changed, it can also change its control characteristic automatically. Matlab simulations and experiment results showed that the proposed approach has less overshoot, faster response, stronger ability of anti-disturbance, the results also showed more effectiveness and efficiency than the conventional PID model in motor speed control.

scholarly journals An Internal Current Controlled BLDC Motor Drive Supplied with PV Fed High Voltage Gain DC-DC Converter

2018 ◽  
Vol 8 (2) ◽  
pp. 1262
Author(s):  
G. G. Raja Sekhar ◽  
Basavaraja Banakara
Keyword(s):  
Control Method ◽  
Speed Control ◽  
High Gain ◽  
Current Control ◽  
Operating Conditions ◽  
Motor Drive ◽  
Bldc Motor ◽  
Pv System ◽  
Switching Losses ◽  
Current Controller

The paper presents an efficient speed control of brushless DC (BLDC) motor drive for photo-voltaic (PV) system fed system. A high-gain DC-DC converter is employed in the system to boost the PV system low output voltage to a level required for the drive system. High-gain DC-DC converter is operated in closed-loop mode to attain accurate and steady output. The converter (VSI) for BLDC is switched at fundamental frequency and thus reducing high frequency switching losses. Internal current control method is developed and employed for the speed control of PV fed BLDC motor. The appropriateness of the internal current controller for the speed control of PV fed BLDC motor is verified for increamental speed with fixed torque and decreamental speed with fixed torque operating conditions. The system is developed and results are developed using MATLAB/SIMULINK software

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