A panel discussion at the College of Engineering at the University of Basrah discussed (a fuzzy immune control system to follow the trajectory of an arm), and researcher Waroud Idris Shatnan said that the subject of the artificial immune system has been studied and used as a tool for improvement called the clonal selection algorithm and as a control method.
In the first model, the artificial immune system optimization tool is used to optimize the proposed control values for the trajectory of the robotic arm
As for the second model, the immune system with fuzzy logic and the exponential derivational integrative control was proposed, the immune system with the fuzzy logic and the exponential derivational integrative control was proposed as a control method to track the trajectory of the robot arm. Artificial Immunity System and Fuzzy Logic Finally, the best method of the previous three-degree robotic methods was highlighted. The aim of the control structures is to make the robot arm follow the given path under different load values. The results showed that the robot followed all paths in a correct way, with less error, and more rigidity by using different control methods.
