Ramírez, Miguel | CINVESTAV |
Universidad Autónoma Del Estado De Hidalgo | CNRS |
Cuvas, Carlos | CINVESTAV |
Resumen: In this paper, we propose a control method to stabilize the double inverted pendulum on car system (DIPCS). The DIPCS is a prismatic type inverted pendulum system that has a base-link and two interconnected pendulums with different lengths. The proposed control methodology does not require the knowledge of the dynamic model and under assumption that not all state variables are available to be measured. Stabilization around the upper unstable equilibrium is one of the most important control problems for the DIPCS. Then, in order to stabilize the DIPCS at its upright position, it is used an adaptive dynamic feedback controller. Moreover, the adaptive approach is based on full dynamics of the output feedback controller. Finally, our proposal is such that guarantees the boundedness of the obtained deviations of error state function by means of the concept of the UUB (Uniform-ultimately bounded) stability. Since any bounded dynamics can be imposed inside of a multidimensional ellipsoid, we suggest the gain tuning of the adaptive controller providing that all possible trajectories of the DIPCS arrive into a small size ellipsoid.
¿Cómo citar?
JMiguel Ramírez-Barrios, Patricio Ordaz & Carlos Cuvas. Dynamic Output Controller with Sample-Time Gain Adjustment for a Double Inverted Pendulum System Stabilization. Memorias del Congreso Nacional de Control Automático, pp. 413-418, 2019.
Palabras clave
Control Robusto, Sistemas Adaptables, Control de Sistemas No Lineales
Referencias
- Azhmyakov, V., Poznyak, A., and Gonzalez, O. (2013). On the robust control design for a class of nonlinearly affine control systems: The attractive ellipsoid approach. Journal of Industrial and management optimization, 9(3), 579–593.
- Chan, S. (1998). Velocity estimation for robot manipulators using neural network. Journal of intelligent and robotic systems, 23(2-4), 147–163.
- Fantoni, I. and Lozano, R. (2001). Non-linear control for underactuated mechanical systems. Springer Science & Business Media.
- Isidori, A. (1995). Nonlinear control systems. Secaucus. NJ, USA: Springer-Verlag New York, Inc.
- Kim, S. and Lee, S. (2008). Robust velocity estimation of an omnidirectional mobile robot using a polygonal array of optical mice. International Journal of Control, Automation, and Systems, 6(5), 713–721.
- Merry, R., Van de Molengraft, M., and Steinbuch, M. (2010). Velocity and acceleration estimation for optical incremental encoders. Mechatronics, 20(1), 20–26.
- Nazin, S.A., Polyak, B.T., and Topunov, M. (2007). Rejection of bounded exogenous disturbances by the method of invariant ellipsoids. Automation and Remote Control, 68(3), 467–486.
- Ordaz, P. and Poznyak, A. (2015). kl-gain adaptation for attractive ellipsoid method. IMA Journal of Mathematical Control and Information, 32(3), 447–469.
- Polyakov, A. and Poznyak, A. (2009). Lyapunov function design for finite-time convergence analysis:twisting controller for second-order sliding mode realization. Automatica, 45(2), 444–448.
- Rubı, J., Rubio, A., and Avello, A. (2002). Swing-up control problem for a self-erecting double inverted pendulum. IEE Proceedings-Control Theory and Applications, 149(2), 169–175.
- Spong, M.W. (1994). The control of underactuated mechanical systems. In First international conference on mechatronics, 26–29. Mexico City Mexico.
- Yu, W. and Li, X. (2006). Pd control of robot with velocity estimation and uncertainties compensation. International Journal of Robotics & Automation, 21(1), 1.