Speed Control of BLDC Using NARMA-L2 Controller in Single Link Manipulator

The BLDC motors are widely used in industrial applications. The load characteristic and controller are important to obtain optimum performance in the speed control of the BLDC motor because some problems are occurred in speed control of nonlinear loads which is used the conventional control methods. The single link manipulator used in robotic applications is a nonlinear system for control algorithms. The load of motor is determined on considering the conversion ratio of the reducer box. In this study, a single link manipulator system consist of BLDC motor, reducer gearbox and robot arm is controlled by using NARMA-L2 controller as known modern control method in used the control of the nonlinear systems. The NARMA-L2 controller is based on neural network. The single link manipulator system is analyzed by using MATLAB/Simulink environment. The speed control of the BLDC motor is performed in conditions the constant and nonlinear load. The results show that the speed control of BLDC motor is performed the high performance in nonlinear loads.

[1]  Mohamed Khaldi,et al.  State estimation based optimal control and NARMA-L2 controllers of a scaled-model helicopter , 2009, ICONS.

[2]  Gülay Öke Günel,et al.  A Novel Adaptive NARMA-L2 Controller Based on Online Support Vector Regression for Nonlinear Systems , 2016, Neural Processing Letters.

[3]  Maysam F. Abbod,et al.  A new MIMO ANFIS-PSO based NARMA-L2 controller for nonlinear dynamic systems , 2017, Eng. Appl. Artif. Intell..

[4]  K. P. Basu,et al.  NARMA-L2 Controlled Variable Frequency Three-Phase Induction Motor Drive , 2012 .

[5]  S. Darenfed,et al.  Neural Network NARMA Control of a Gyroscopic Inverted Pendulum , 2008, Eng. Lett..

[6]  S. Z. Sayed Hassen,et al.  Intelligent Controllers for Load Frequency Control of Two-Area Power System , 2017 .

[7]  J. Y. S. Luh,et al.  Conventional controller design for industrial robots — A tutorial , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  Hafizah Husain,et al.  Real Time Implementation of NARMA-L2 Control of a Single Link Manipulator , 2008 .

[9]  Jurek Z. Sasiadek,et al.  ROBOTIC UNMANNED AERIAL VEHICLE TRAJECTORY TRACKING CONTROL , 2006 .

[10]  M. Alhanjouri.  Speed Control of DC Motor Using Artificial Neural Network , 2017 .

[11]  H. Abu-Rub,et al.  Artificial Neural Networks and fuzzy logic based control of AC motors , 2009, 2009 IEEE International Electric Machines and Drives Conference.

[13]  Mehmet Kemal Ozdemir,et al.  Implementation of a flywheel energy storage system for space applications , 2017, Turkish J. Electr. Eng. Comput. Sci..

[14]  Lee H. Keel,et al.  Robust adaptive control of nonaffine nonlinear plants with small input signal changes , 2004, IEEE Transactions on Neural Networks.

[15]  Vishank Bhatia,et al.  Comparison of GA tuned fuzzy logic and NARMA-L2 controllers for motion control in 5-DOF robot , 2017 .

[16]  Ahmed M. Kassem,et al.  MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks , 2012 .

[17]  Wahyudi,et al.  Real time implementation of NARMA L2 feedback linearization and smoothed NARMA L2 controls of a single link manipulator , 2008, 2008 International Conference on Computer and Communication Engineering.