Research on wheel-legged robot based on LQR and ADRC

Autor: Shuaishuai Liu, Qiang Yuan, Bangyu Wang, Junbo Xiao, Daxu Zhao
Rok vydání: 2022
Popis: The traditional two-wheeled self-balancing robot can travel quickly in a flat road environment, and it is easy to destabilize andcapsize when passing through a bumpy road. To improve the passing ability of a two-wheeled robot, a new wheel-leggedtwo-wheeled robot is developed. A seven-link leg structure is proposed through the comprehensive design of mechanismconfiguration, which decouples the balanced motion and leg motion of the robot. Based on the Euler-Lagrange method, thedynamic model of the system is obtained by applying the nonholonomic dynamic Routh equation in the generalized coordinatesystem. The robot’s state space is divided according to the robot’s height, and the Riccati equation is solved in real-time by thelinear quadratic regulator(LQR) method to complete the balance and motion control of the robot. The robot leg motion controlis achieved based on the Active Disturbance Rejection Control(ADRC) way. A robot simulation model is built on Recurdyn toverify the algorithm’s feasibility, and then an experimental prototype is built to demonstrate the algorithm’s effectiveness. Theexperimental results show that the control method based on LQR and ADRC can make the robot pass through the bumpy road.
Databáze: OpenAIRE