首页|Data on Robotics Detailed by Researchers at Cadi Ayyad University (An Improved I eho Super-twisting Sliding Mode Control Algorithm for Trajectory Tracking of a M obile Robot)
Data on Robotics Detailed by Researchers at Cadi Ayyad University (An Improved I eho Super-twisting Sliding Mode Control Algorithm for Trajectory Tracking of a M obile Robot)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Robotics. Accordin g to news reporting out of Marrakech, Morocco, by NewsRx editors, research state d, “In recent years, trajectory tracking of a mobile robot has been one of the m ost addressed problems in the specilized literature, as a mobile robot must have the ability to follow a trajectory, while also compensating various external an d internal disturbances. This paper proposes an IEHO-STSM controller based on th e super-twisting sliding mode for the path tracking of a mobile robot.”Our news journalists obtained a quote from the research from Cadi Ayyad Universi ty, “First, a new improved IEHO algorithm has been developed and introduced, bas ed on the EHO (Elephant Herding Optimization) metaheuristic algorithm. The devel oped algorithm consisted in improving the performance of the basic EHO such as c onvergence speed, exploration and exploitation capabilities. Then, based on a dy namic model of the mobile robot, a super-twisting sliding mode (STSM) controller was designed to guide the robot to the desired trajectory. Finally, the improve d IEHO algorithm was applied for adjusting the parameters of the super-twisting sliding mode (STSM) controller. The analysis of the proposed IEHO algorithm has been done by comparing it with EHO, PSO (Particle Swarm Optimization) and GWO (G rey Wolf Optimizer) algorithms, by employing it in tuning the STSM.”
MarrakechMoroccoAfricaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsCadi Ayyad University
NETL
NSTL
