Optimization of triple inverted pendulum control process based on motion vision

Abstract

An inverted pendulum is a typical nonlinear and absolutely unstable system. In order to control the triple inverted pendulum effectively and steadily, an optimization method of inverted pendulum control process based on motion vision was proposed. The real-time motion pictures of the triple inverted pendulum in the swinging-up process were collected through the CCD camera, and the real-time motion pictures of the triple inverted pendulum were recognized, matched and optimized by using Harris algorithm. By using motion vision to control and optimize the triple inverted pendulum, the stabilization control of the triple inverted pendulum was realized.