Tuning PID Controller by Neural Network for Robot Manipulator Trajectory Tracking
Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of PID controller. This tuning method is simple and gives fixed values for the coefficients which make PID controller have weak adaptabilities for the model parameters variation and changing in operating cond...
Guardado en:
Autor principal: | Saad Zaghlul Saeed Al-Khayyt |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Al-Khwarizmi College of Engineering – University of Baghdad
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ec57e28002ba483c90f1a65364677bff |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Tuning PID Controller by Neural Network for Robot Manipulator Trajectory Tracking
por: Saad Zaghlul Saeed Al-Khayyt
Publicado: (2017) -
Adaptive control of a robotic manipulator for soft catching of a falling object
por: Naoki UCHIYAMA, et al.
Publicado: (2015) -
Manipulator Trajectory Tracking Based on Kinematics Model Predictive Control
por: Youkun Zhong
Publicado: (2021) -
Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
por: Thiago A. M. Euzebio, et al.
Publicado: (2021) -
Optimization of trajectory tracking control of 3-DOF translational robot use PSO method based on inverse dynamics control for surgery application
por: Ngoc Pham Van Bach, et al.
Publicado: (2021)