Fusion function based fuzzy control for a double inverted pendulum
Ming Jiang
Abstract
Ming Jiang
Abstract
In view of the multi-variable,nonlinear and strongly-coupling double inverted pendulum system,the fuzzy control theory is introduced in this paper to study the stability control of the double inverted pendulum.In order to solve the rule number explosion problem of fuzzy controller in a multi-variable system like double inverted pendulum,the dimensions of input variables of the fuzzy controller are depressed by a fusion function designed on the basis of LQR theory.It can reduce the design difficulty of controller.The influence of quantification factors on the control effect is also studied.The quality of the fuzzy controller is improved by setting threshold value to achieve the auto-tuning of quantification factors.Simulation and experimental results show that the controller based on this fuzzy control algorithm is simple in structure and has good control effect.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In view of the multi-variable,nonlinear and strongly-coupling double inverted pendulum system,the fuzzy control theory is introduced in this paper to study the stability control of the double inverted pendulum.In order to solve the rule number explosion problem of fuzzy controller in a multi-variable system like double inverted pendulum,the dimensions of input variables of the fuzzy controller are depressed by a fusion function designed on the basis of LQR theory.It can reduce the design difficulty of controller.The influence of quantification factors on the control effect is also studied.The quality of the fuzzy controller is improved by setting threshold value to achieve the auto-tuning of quantification factors.Simulation and experimental results show that the controller based on this fuzzy control algorithm is simple in structure and has good control effect.
Key concepts: Inverted pendulum, Control theory (sociology), Double inverted pendulum, Fuzzy logic, Controller (irrigation), Fuzzy control system, Nonlinear system, Mathematics