Adaptive Fuzzy Control Design and Implementation of Genetic Algorithm Based Robot System

With the increasing demand for resources, the ocean has become the second most important base for the strategic deployment of resources after the land, and the motion control technology of underwater robots is of great importance to achieve various movements and stable driving underwater. The aim of this paper is to investigate the design and implementation of adaptive fuzzy control for robotic systems based on genetic algorithms. The method of optimising adaptive fuzzy control design by genetic algorithm is investigated and a fuzzy controller is designed for the underwater robot with improved genetic algorithm. The underwater robot control system is constructed through the keil software development environment. Further, experiments are conducted on the underwater robot platform to complete the path tracking control of the underwater robot, the optimised fuzzy controller can eliminate the deviation more quickly, verify the feasibility of the proposed algorithm.