scholarly journals An energy saving method of stable control of inverted pendulum system when affected by external interference using auxiliary pendulum

2019 ◽  
Vol 104 ◽  
pp. 01015 ◽  
Author(s):  
Chiem Nguyen ◽  
Hai Phan ◽  
Hung Nguyen

This research aims to develop a method to reduce energy consumption when controlling an inverted pendulum system that is affected by external interference. In this paper, the authors use the quasi time-optimal control law and add on an inverted pendulum an auxiliary pendulum to absorb the energy of the external interference effects, to reduce the cost of controlling the energy stable inverted pendulum while ensuring system quality. The quality of the method is demonstrated through simulation results. The effectiveness of this method is shown by comparison with the method of no damping.

2011 ◽  
Vol 383-390 ◽  
pp. 7258-7264 ◽  
Author(s):  
Zhao Yang Xu ◽  
Xiao Diao Huang

In this paper, based on linear quadratic optimal control design the controller of single inverted pendulum system, using the current epidemic method of Co-simulation to play each of the strengths of two software for simulation, Through two methods of the static and dynamic to observe and analyze the quality of feedback controller the based on linear quadratic optimal control.


1991 ◽  
Vol 111 (3) ◽  
pp. 221-229 ◽  
Author(s):  
Motomiki Uchida ◽  
Yukihiro Toyoda ◽  
Yoshikuni Akiyama ◽  
Kazushi Nakano ◽  
Hideo Nakamura

2016 ◽  
Vol 9 (3) ◽  
pp. 167 ◽  
Author(s):  
Muhammad Sani Gaya ◽  
Anas Abubakar Bisu ◽  
Syed Najib Syed Salim ◽  
I. S. Madugu ◽  
L. A. Yusuf ◽  
...  

2021 ◽  
pp. 107754632110429
Author(s):  
Pouriya Pourgholam ◽  
Hamid Moeenfard

Accurate modeling and efficient control of inverted pendulums have always been a challenge for researchers. So, the current research aims to achieve the following objectives: (I) proposing a comprehensive dynamic model for the inverted pendulums which accounts for the flexibility of the pendulum bar and (II) suggesting an appropriate supervisory fuzzy-pole placement control strategy for stabilizing the pendulum system. Using a Lagrangian formulation, the equations of motion are derived and linearized. Then, a state feedback controller with a reduced-order observer is designed to stabilize the system. Closed-loop simulations reveal that at least six modes shall be considered in the dynamic equations. To improve the quality of the transient response, a novel fuzzy system is developed for real-time assignment of the controller poles. Simulation results demonstrate that the control quality is significantly improved by adding a supervisory fuzzy system to the control loop. The developed approach for dynamic modeling of the system, and the idea of multi-level fuzzy-pole placement control architecture developed in this paper, may be successfully applied to improve the response specifications in other dynamic systems.


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