Manual control of inverted pendulum with different input from joystick

Abstract

The cognitive behavior of human operators in human-machine system has long served as a compelling target for control theory. For this purpose, extensive research effort has been focused on the manual control of inverted pendulum, from which cognitive and motor behavior can be obtained. However, much less attention has been paid to the effect on this experimental platform with different input, e.g. force, velocity, and position input. With the intention to provide more interactive form between human operators and electromechanical systems, this manuscript gives a comparative study on a virtual pendulum system which is built based on OpenGL when different commands are provided with a joystick. All forms of dynamical models have been obtained though mathematical manipulation. In order to obtain more realistic effect, dynamical models are solved with Runge-kutta method. A joystick interface enables operators to control the pendulum manually, providing a fun experience. This study establishes the foundation for further research on cognitive behavior of human operators in human-machine interaction systems and neural control systems.