scholarly journals Model Reference Control Applied on the Velocity Tracking of a Welding Robot

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Andreyna Sárila Ramos Ferreira ◽  
Débora Debiaze De Paula ◽  
Paulo Jefferson Dias de Oliveira Evald ◽  
Rodrigo Zelir Azzolin
Keyword(s):  
Mathematical Modelling ◽  
Experimental Results ◽  
Control Technique ◽  
Human Beings ◽  
Welding Robot ◽  
Process Automation ◽  
Model Reference ◽  
Model Reference Control ◽  
Velocity Tracking

Robotics has been expanding over last decades, employed mainly to the activities that are most harmful to human beings. Considering that welding is one of the most risky activities in industries, studies and researches in the process automation are quite important. In this context, this work contributes to the control of the velocity tracking of the displacement of a linear welding robot. The mathematical modelling of the robot is presented, and the chosen control technique is Model Reference Control, which allows project controller based on the desired behaviour for the robot. To corroborate controller effectiveness, simulation and experimental results are presented and discussed, proving that proposed technique is adequate to control the robot velocity.

Optimal Model Reference Control Scheme Design for Nonlinear Strict-Feedback Systems

2020 ◽  
Vol 38 (9A) ◽  
pp. 1342-1351
Author(s):  
Musadaq A. Hadi ◽  
Hazem I. Ali
Keyword(s):  
Reference Model ◽  
Feedback System ◽  
Optimization Method ◽  
Feedback Systems ◽  
Model Reference ◽  
Scheme Design ◽  
Model Reference Control ◽  
Control Scheme ◽  
Lyapunov Stability Analysis ◽  
Strict Feedback

In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is considered as a cost function to drive the error between the reference model and the system to zero. After that, a powerful metaheuristic optimization method is used to optimize the parameters of the proposed controller. Finally, the results show that the proposed controller can effectively compensate for the strictly-feedback nonlinear system with more desirable performance.

Data-driven model reference control design by prediction error identification

2017 ◽  
Vol 354 (6) ◽  
pp. 2628-2647 ◽  
Author(s):  
Lucíola Campestrini ◽  
Diego Eckhard ◽  
Alexandre Sanfelice Bazanella ◽  
Michel Gevers
Keyword(s):  
Prediction Error ◽  
Control Design ◽  
Data Driven ◽  
Error Identification ◽  
Model Reference ◽  
Model Reference Control

Improved Load Sharing Control Techniques for Inverters used in a Microgrid

2009 ◽  
Vol 10 (1) ◽  
Author(s):  
Wei Yao ◽  
Zhaoming Qian
Keyword(s):  
Steady State ◽  
Transient Response ◽  
Single Phase ◽  
Load Sharing ◽  
Power Sharing ◽  
Experimental Results ◽  
Control Technique ◽  
Transient Performance ◽  
Control Techniques ◽  
Control Scheme

In this paper, an improved load sharing control scheme is presented, which is able to improve the transient response and power sharing accuracy of parallel-connected inverters used in microgrid. It also shows how the improved droop method can be easily adapted to account for the operation of parallel-connected inverters, providing good performance under the variation and disturbance of loads, as well as achieving good steady-state objectives and transient performance. Two DSP-based single-phase Microgrid inverters are designed and implemented. Simulation and experimental results are all reported, confirming the validity of the proposed control technique.

scholarly journals Model reference control of conceptual clutched train substituted for vehicular friction clutch

2016 ◽  
Vol 74 ◽  
pp. 00004
Author(s):  
Wei Huang ◽  
Pakharuddin Mohd Samin ◽  
Kamarul Baharin Tawi
Keyword(s):  
Model Reference ◽  
Model Reference Control ◽  
Friction Clutch
Sign in / Sign up

Export Citation Format

Share Document