NDLI: Fuzzy Logic Based Intelligent Control and Optimal Control of a Rotary Inverted Pendulum System

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Devendra, P. Garg Jain, Piyush
Copyright Year	2002
Abstract	In this paper a fuzzy logic based control strategy has been applied to balance an inverted pendulum. An inverted pendulum in itself is a highly unstable system since there is always some external disturbance present that makes it to fall. Therefore, to maintain it in an upright position, a control input is needed, that could be in the form of torque, moment or force. Here an inverted pendulum with a rotary arm is chosen for study. The arm is driven in the direction of fall of the pendulum. This action attempts to stabilize the pendulum in the upright configuration. The fuzzy control action controls the torque applied to the actuator and thus controls the pendulum. A fuzzy inference system is constructed using Matlab. This is used to compute the output torque for a given set of angle and velocity. The same system is subjected to a Quadratic Optimal Control scheme, and the simulation results obtained from the fuzzy control system and Linear Quadratic Regulator control (LQR) scheme are compared.
Sponsorship	Dynamic Systems and Control Division
Starting Page	243
Ending Page	248
Page Count	6
File Format	PDF
ISBN	0791836290
DOI	10.1115/IMECE2002-33449
Volume Number	Dynamic Systems and Control
Conference Proceedings	ASME 2002 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2002-11-17
Publisher Place	New Orleans, Louisiana, USA
Access Restriction	Subscribed
Subject Keyword	Fuzzy logic Simulink modeling Lqr control Rotary inverted pendulum Optimal control Pendulums
Content Type	Text
Resource Type	Article

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