Article information
Resumen
El problema del seguimiento de trayectoria en robots manipuladores ha sido abordado aplicando una gran variedad de controladores, desde estructuras sencillas basadas en PD hasta otras más complejas basadas en controladores adaptativos y robustos. Estas últimas técnicas presentan inconvenientes como la presunción de ciertas cotas en los términos de la ecuación dinámica del robot o la no inclusión de las ligaduras del sistema en el algoritmo de control. En el presente trabajo se hace una revisión de las técnicas clásicas de control de manipuladores y se introduce un conjunto de técnicas novedosas de control robusto y de control predictivo, con las que se evitan los problemas comentados. En particular se describe un controlador con una acción robusta autoadaptativa, necesaria para evitar los errores en la cancelación de términos no lineales de la dinámica del robot. Este esquema es mejorado mediante técnicas predictivas que permiten la inclusión de las ligaduras de movimiento del robot en el algoritmo de control. Se incluyen resultados reales y en simulación en un robot PUMA-560 de Unimation que prueban la bondad de dichos controladores.
Palabras clave:
Manipuladores robot
Control Robusto
Control Adaptativo
Control Autoadaptativo
Control Predictivo
Implementación
Tareas en tiempo real
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Referencias
[Alonge, 2003]
F. Alonge, F. D’Ippolito, F.M. Raimondi.
An adaptive control law for robotic manipulator without velocity feedback.
Control Engineering Practice, 11 (2003), pp. 999-1005
[Barrientos et al., 2007]
A. Barrientos, L. Peñín, C. Balaguer, R. Aracil.
Fundamentos de Robótica.
2ª ed., McGraw Hill, (2007),
[Becerra et al., 2004]
V.M. Becerra, C.N.J. Cage, W.S. Harwin, P.M. Sharkey.
Hardware retrofit and computed torque control of a Puma 560 Robot.
IEEE Control Systems Mag, 24 (2004), pp. 78-82
[Corless and Leitmann., 1981]
M. Corless, G. Leitmann.
Continuous-state feedback guaranteeing uniform ultimate boundedness for uncertain dynamic systems.
IEEE Trans. on Automatic Control., AC-26 (1981), pp. 1139-1141
[Dawson et al., 1992]
D.M. Dawson, Z. Qu, J.J. Carroll.
Tracking control of rigid-link electrically-driven robot manipulators.
Int. Journal of Control., 56 (1992), pp. 991-1006
[Desa and Roth., 1985]
S. Desa, B. Roth.
Synthesis of control systems for manipulators using multivariable robust servo mechanism theory.
Int. J. Robotic Res., 4 (1985), pp. 18-34
[Freund., 1982]
E. Freund.
Fast nonlinear control with arbitrary poleplacement for industrial robots and manipulators.
Int. Journal of Robotics Research, 1 (1982), pp. 65-78
[Fu and Liao., 1990]
L.C. Fu, T.L. Liao.
Globally Stable Robust Tracking of Nonlinear Systems Using Variable Structure Control and with an Application to a Robotic Manipulator.
IEEE Trans. on Automatic Control, 35 (1990), pp. 1345-1350
[Gu and Hu., 2004]
D. Gu, H. Hu.
Model Predictive Control for Simultaneous Robot Tracking and Regulation.
Proc.: Int. Conf. on Intelligent Mechatronics and Automation, pp. 212-217
[Ishii et al., 2001]
C. Ishii, T. Shen, Z. Qu.
Lyapunov recursive design of robust adaptive tracking control with L2-gain performance for electrically-driven robot manipulators.
Int. Journal of Control, 74 (2001), pp. 811-828
[Jaritz and Spong., 1996]
A. Jaritz, M.W. Spong.
An experimental comparison of robust control algorithms on a direct drive manipulator.
IEEE Trans. on Control Systems Technology, 4 (1996), pp. 627-640
[Jin., 1998]
Y. Jin.
Decentralized adaptive fuzzy control of robot manipulators.
IEEE Trans. on Systems, Man and Cybernetics – B:Cybernetics., 28 (1998), pp. 47-57
[Kouvaritakis et al., 1998]
B. Kouvaritakis, J.A. Rossiter, M. Cannon.
Linear quadratic feasible predictive control.
Automatica, 34 (1998), pp. 1583-1592
[Kreutz., 1989]
K. Kreutz.
On manipulator control by exact linearization.
IEEE Trans. on Automatic Control, 34 (1989), pp. 763-767
[Lewis et al., 2004]
F. Lewis, D. Dawson, C. Abdallah.
Robot manipulator control.
Marcel Dekker, (2004),
[Liu and Goldenberg., 1993]
G. Liu, A. Goldenberg.
On robust saturation control of robot manipulators.
Proc.: 32nd Conf. on Decision and Control, pp. 2115-2120
[Londoño and Arias., 2003]
N. Londoño, M. Arias.
Control de posición de un manipulador utilizando lógica difusa.
Proc.: XI Congreso Latinoamericano de Control Automático,
[Mendes et al., 2002]
M.F. Mendes, W. Kraus Jr., E.R. de Pieri.
Variable Structure Position Control o fan industrial Robotic Manipulator.
Journal of the Brazilian Society of Mechanical Sciences, 24 (2002),
[Méndez et al., 2000]
J.A. Méndez, B. Kouvaritakis, J.A. Rossiter.
Statespace approach to interpolation in MPC.
Int. Journal of Robust and Nonlinear Control, 10 (2000), pp. 27-38
[Ortega and Spong., 1989]
R. Ortega, M.W. Spong.
Adaptive motion control of rigid robots: A tutorial.
Automatica, 25 (1989), pp. 877-888
[Poignet and Gautier., 2000]
P. Poignet, M. Gautier.
Nonlinear Model Predictive Control of a Robot Manipulator.
Proc.: 6th Int. Workshop on Advanced Motion Control, pp. 401-406
[Reed and Ioannou., 1988]
J. Reed, P. Ioannou.
Instability analysis and adaptive control of robot manipulators.
Proc.: 27th IEEE Conf. on Decision & Control, pp. 1607-1612
[Rossiter et al., 1998]
J.A. Rossiter, M.J. Rice, J. Schuurmans, B. Kouvaritakis.
A computationally efficient constrained predictive control law.
Proc.: American Control Conference,
[Rossiter et al., 2004]
J.A. Rossiter, B. Kouvaritakis, M. Bacic.
Interpolation based computationally efficient predictive control.
Int, Journal of Control, 77 (2004), pp. 290-301
[Sciavicco and Siciliano., 1996]
L. Sciavicco, B. Siciliano.
Modelling and Control of Robot Manipulator.
Springer-Verlag, (1996),
[Slotine., 1985]
J.J.E. Slotine.
Robust control of robot manipulators.
Int J. of Robotics Research, 4 (1985), pp. 49-64
[Slotine and Li., 1987]
J.J.E. Slotine, W. Li.
On the adaptive control of robot manipulators.
Int. Journal of Robotic Research, 6 (1987), pp. 49-59
[Spong and Widyasagar., 1987]
M.W. Spong, M. Widyasagar.
Robust linear compensator for nonlinear robotic control.
IEEE Journal of Robotics and Automation, RA-3 (1987), pp. 345-351
[Spong et al., 1987]
M.W. Spong, J.S. Thorp, J.M. Kleinwaks.
Robust microprocessor control of robot manipulators.
Automatica, 23 (1987), pp. 373-379
[Spong., 1992]
M.W. Spong.
On the robust control of robot manipulators.
IEEE Trans. on Automatic Control, 37 (1992), pp. 1782-1786
[Spong., 1993]
M.W. Spong.
Adaptive Control of Robot Manipulators: Design and Robustness.
Proc.: American Control Conference, pp. 2826-2830
[Su and Leung., 1993]
C.Y. Su, T.P. Leung.
A Sliding Mode Controller with Bound Stimation for Robot Manipulators.
IEEE Trans. on Robotics and Automation, 9 (1993), pp. 208-214
[Su and Stepanenko., 1997]
C.Y. Su, Y. Stepanenko.
Redesign of hybrid adaptive/robust motion control of rigid-link electricallydriven robot manipulators.
IEEE Trans. on Robotics and Automation., 14 (1997), pp. 651-655
[Tarn et al., 1984]
T.J. Tarn, A.K. Bejczy, A. Isidori, Y. Chen.
Nonlinear Feedback in Robot Arm Control.
Proc.: 23th IEEE Conf. on Decision and Control,
[Torres et al., 2000]
S. Torres, J.A. Méndez, L. Acosta, M. Sigut, G.N. Marichal, L. Moreno.
A decentralized fuzzy controller for a three link robot manipulator.
Proc.: ICSC 2nd Symposia on Eng. of Intelligent Systems,
[Torres et al., 2002]
S. Torres, J.A. Méndez, L. Acosta, M. Sigut, G.N. Marichal.
Disturbances rejection on a robot arm using an efficient predictive controller.
Proc.: 15th IFAC World Congress,
[Torres et al., 2007]
S. Torres, J.A. Méndez, L. Acosta, V.M. Becerra.
On improving the performance in robust controllers for robot manipulators with parametric disturbances.
Control Engineering Practice, 15 (2007), pp. 557-566
[Wróblewski., 2004]
W. Wróblewski.
Implementation of a Model Predictive Control Algorithm for a 6dof Manipulator-Simulation Results.
4th IEEE Int. Workshop on Robot Motion and Control, pp. 209-212
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