Journal of System Simulation
Abstract
Abstract: To solve the problem of balancing control of linear double inverted pendulum, fuzzy sliding mode control method based on linear adaptive QPSO tuning is presented. According to the coupling property of the linear double inverted pendulum system, decoupling is applied twice and fuzzy sliding mode balancing controller is designed. The parameters of fuzzy sliding mode controller are determined by the linear adaptive quantum particle swarm optimization algorithm (LAQPSO). Linear double inverted pendulum balancing control simulation results show that the proposed method can effectively reduce the chattering phenomenon existing in the traditional sliding mode controller and improve the accuracy and rapidity of balancing control of linear double inverted pendulum system. Physical experiment results show that the proposed method is reasonable and effective.
Recommended Citation
Jing, Xin; Han, Xiangshuai; Liang, Yanming; and Yan, Cuicui
(2020)
"Fuzzy Sliding Mode Control of Double Inverted Pendulum Based on Linear Adaptive QPSO Tuning,"
Journal of System Simulation: Vol. 29:
Iss.
11, Article 42.
DOI: 10.16182/j.issn1004731x.joss.201711042
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/42
First Page
2909
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201711042
Last Page
2917
CLC
TP24
Recommended Citation
Xin Jing, Han Xiangshuai, Liang Yanming, Yan Cuicui. Fuzzy Sliding Mode Control of Double Inverted Pendulum Based on Linear Adaptive QPSO Tuning[J]. Journal of System Simulation, 2017, 29(11): 2909-2917.
DOI
10.16182/j.issn1004731x.joss.201711042
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons