Research on robust bionic learning algorithm in balance control for the robot

In view of the nature unstable movement balance problems of the wheeled robot, the robust bionic autonomous learning algorithm is proposed as the wheeled robot learning mechanism based on the operant conditioning principle. The algorithm uses the characteristics of the robust control, which it can improve the system ability at suppressing interference and produce the optimum control behavior. Combining with the operant conditioning principle, the robot can simulate the biological operant conditioning mechanism, as well as the self-learning and self-adapting abilities through the interaction and learning and training with the unknown environment, and achieve the movement balance control of the wheeled robot. Finally, this paper uses this algorithm to make the simulation experiments in both cases of the absence of interference and interference respectively, and the compared results show that the robust bionic autonomous learning algorithm can reflect the better anti-interference ability, and make the robot obtain the skills about autonomous learning and balance control.