2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2009
DOI: 10.1109/aim.2009.5229784
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Adaptive PID with sliding mode control for the rotary inverted pendulum system

Abstract: In this paper, a novel adaptive PID with sliding mode control for the rotary inverted pendulum is proposed. The goal is to achieve system robustness against parameter variations and external disturbances. In this study, the three parameters of PID controller, proportional gain, integral gain, and derivative gain can be systematically obtained according to the adaptive law. Further reduction of the high frequency chattering in the controller is achieved by using the boundary layer technique. The proposed contro… Show more

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Cited by 28 publications
(13 citation statements)
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References 13 publications
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“…Para la estabilización se genera un control basado en energías (energy Shaping) y un control LQR, se realiza un estudio comparativo entre las estrategias de control y se logra demostrar la efectividad y robustez del controlador basado en el modelo de 4-dimensiones. En el año 2009, aparece en la literatura de la comunidad de control el trabajo realizado por T. C. Kuo, Y. J. Huang y B. W. Hong [21], donde se diseña un PID adaptativo por modos deslizantes y se logra convergencia y estabilidad, que es demostrada según el teorema de Lyapunov.…”
Section: Control De Péndulos Invertidosunclassified
“…Para la estabilización se genera un control basado en energías (energy Shaping) y un control LQR, se realiza un estudio comparativo entre las estrategias de control y se logra demostrar la efectividad y robustez del controlador basado en el modelo de 4-dimensiones. En el año 2009, aparece en la literatura de la comunidad de control el trabajo realizado por T. C. Kuo, Y. J. Huang y B. W. Hong [21], donde se diseña un PID adaptativo por modos deslizantes y se logra convergencia y estabilidad, que es demostrada según el teorema de Lyapunov.…”
Section: Control De Péndulos Invertidosunclassified
“…Several control strategies based on the conventional control theory, modern control theory, and intelligent control have been used to control the inverted pendulum, such as PID controller [1,2], linear quadratic regulator (LQR) [3][4][5], fuzzy logic controller (FLC) [6][7][8]. In [9] Jia-Jan Wang introduced a simple scheme to design a conventional PID controller to stabilize and track three types of inverted pendulum.…”
Section: Intoductionmentioning
confidence: 99%
“…Cat presented a new adaptive control algorithm for robot motion tracking problem to overcome noises and large uncertainties using integral sliding surface with a neural network [29]. Kuo proposed a novel adaptive PID with sliding mode control for the rotary inverted pendulum to achieve system robustness against parameter variations and external disturbances [30]. Rubio designed a sliding mode controller to regulate robotic arms with unknown behaviors in the dead zone and gravity, and the sliding mode strategy was employed to compensate the unknown behaviors [31].…”
Section: Introductionmentioning
confidence: 99%