Patrol robot navigation control based on memory algorithm
Xin Shi, Jun Lu, Feng Liu, Jie Zhou · 2014
Aiming at the low tracking accuracy and poor stability of the patrol robot navigation system, this paper puts forward a new control method based on memory algorithm. Through analyzing the patrol robot's kinematics model, the path information is obtained. The optimal control is realized by fusing the historic operating parameters and the current feedback information. And it gives the whole design scheme of moving mechanism, sensing subsystem, control subsystem and so on. Multiple experiments prove that the algorithm improves the navigation accuracy and the fault tolerance while electromagnetic sensors are not working, ensuring safe and reliable operation of the patrol robot.