State feedback based on grey wolf optimizer controller for two-wheeled self-balancing robot
The two-wheeled self-balancing robot (TWSBR) is based on the fp9550bk axletree and inverted pendulum.Its balancing problem requires a control action.To speed up the response of the robot and minimize the steady state error, in this article, a grey wolf optimizer (GWO) method is proposed for TWSBR control based on state space feedback control techni