Stabilization of triple link inverted pendulum system based on LQR control technique

Author(s):  
Mukul K. Gupta ◽  
Kamal Bansal ◽  
Arun Kumar Singh
2014 ◽  
Vol 665 ◽  
pp. 619-622
Author(s):  
Dian Rong Li ◽  
Yih Guang Leu ◽  
Yan Hou Wen

This paper studies the control of a two-wheeled vehicle which is similar to an inverted pendulum system and has hand sensors to make right and left turns. Because the two-wheeled vehicle is unstable and its load is uncertain, PID and LQR controllers are used to stabilize the uncertain and unstable plant. Moreover, the two controllers can make it move forwards and backwards, and turn left and right. The two controllers are implemented into a microcontroller, and the microcontroller outputs appropriate control signals to drive the two-wheeled vehicle according to the three-axis accelerometer and gyroscope sensors. Finally, we verify the controllers' efficiency and compare the difference between above two controllers.


2013 ◽  
Vol 391 ◽  
pp. 163-167 ◽  
Author(s):  
M. Fajar ◽  
S.S. Douglas ◽  
J.B. Gomm

This paper describes how to simulate the spherical inverted pendulum, a dynamics of multibody system, with SimMechanics. The control strategy used is based on the LQR feedback method for the stabilisation of the spherical inverted pendulum system. Simulation study has been done in Simulink environment shows that LQR controller is capable to control multi input and multi output of spherical inverted pendulum system successfully. The result shows that LQR control strategy gives satisfactory response that is presented in time domain with the details analysis. The use of SimMechanics for simulation of spherical inverted pendulum has some advantages i.e. not need to derive equations of motion, available visualisation tools, fast and easy design


2021 ◽  
Author(s):  
◽  
Victor Rolando Jara González

In this thesis he addressed the controlled Lagrangian control technique in two magnetic levitation systems, these being the fundamental object of study. An analysis of the natural dynamics of three mechanical systems was made; a simple pendulum, two pendulums attached to a xed beam and an inverted pendulum on a cart, which served to understand from a physical-mathematical point of view the presentation of the Lagrangian formalism. This analysis in mechanical systems was the basis in the study of the natural dynamics of the magnetic levitation systems treated. A geometrical stability analysis was also carried out, both for the mechanical systems and for the magnetic levitation systems; this constitutes the rst novelty as a result of the work. The presentation of the controlled Lagrangian control technique was explained in detail, taking as an example the inverted pendulum system on the cart, to later be implemented in magnetic levitation systems. The results obtained were satisfactory, demonstrating with them that this control technique makes sense in magnetic levitation systems, until now simple. From the mathematical point of view, the establishment of a control law in these magnetic levitation systems guarantees their stability in the understanding that the controlled dynamics will be equal to the desired one.


2021 ◽  
Author(s):  
Omid Mofid ◽  
Khalid A Alattas ◽  
Saleh Mobayen

Abstract In this paper, an adaptive proportional-integral-derivative (PID) sliding mode control method combined with super-twisting algorithm is designed for the stabilization control of rotary inverted pendulum system in the appearance of exterior perturbation. The state-space model of rotary inverted pendulum in the presence of exterior disturbance is obtained. Then, the super-twisting PID sliding mode controller is designed for finite time stability control of this underactuated control system. The upper bounds of perturbation are presumed to be unknown; accordingly, the adaptive control procedure is taken to approximate the uncertain bound of the external disturbances. The stability control of rotary inverted pendulum system is proved by means of the Lyapunov stability theory. In order to validate accuracy and efficiency of the recommended control technique, some simulation outcomes are prepared and compared with other existing method. Moreover, experimental results are implemented to show the success of the proposed method.


Author(s):  
Mohammad Javad Mahmoodabadi ◽  
Sadegh Hadipour Lakmesari

In this paper, a multi-objective artificial bee colony (MOABC) optimization algorithm is utilized to improve the performance of an adaptive robust control technique. This approach is implemented on an inverted pendulum system. More precisely, the proposed controller is a combination of a decoupled sliding mode controller (DSMC) and adaption laws based on the gradient descent approach. In order to achieve the optimum control operation, the MOABC, as a novel meta-heuristic method simulated from the smart foraging activity of honey bee groups, is employed to optimize the coefficients of the suggested controller. In this regard, the objective functions are determined as the integral time of the absolute value of the pole angle and cart position errors. Finally, the time responses of the system states and control effort are presented to prove the effectiveness and feasibility of the suggested strategy compared to other contemporary studies referenced in the paper.


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