Title :
Adaptive fuzzy control in the application of primary inverted pendulum
Author :
Mu Senlin ; Gao Jingmin
Author_Institution :
Inst. of Autom., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
In the stability control issues, The feature of the inverted pendulum is universal and typically. As a controlled object, it is a fairly complex and high-order, multivariate, nonlinear, strongly coupled system. Thus, a fuzzy controller is designed, and the fuzzy logic function is used to approximate the nonlinear function of inverted pendulum. An adaptive law is deduced for inverted pendulum, the controller parameters can be adjusted online and the control performance of the system is improved.
Keywords :
adaptive control; control system synthesis; fuzzy control; large-scale systems; multivariable control systems; nonlinear control systems; pendulums; stability; adaptive fuzzy control design; adaptive law; control performance; controller parameters; fuzzy logic function; high-order multivariate nonlinear coupled system; nonlinear function; primary inverted pendulum application; stability control issues; Artificial intelligence; Trajectory; fuzzy control; inverted pendulum system; self-adaptive;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758065