- Garg, Devendra P. and Jain, Piyush, Fuzzy logic based intelligent control and optimal control of a rotary inverted pendulum system,
American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, vol. 71
pp. 243 - 248 .
(last updated on 2007/04/10)
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.
Intelligent control;Optimal control systems;Fuzzy sets;Fuzzy control;Torque;Rotating machinery;Actuators;Computer software;Mathematical models;Computer simulation;