The paper presents methods of improving the hybrid force-position dynamic robot control using fuzzy logic for the error control. The implementation of the open architecture control system for robots using fuzzy application allows for the control of the hybrid position and force in Cartesian coordinates through real time processing of the Jacobean matrix obtained out of forward kinematics using the Denevit-Hartenberg method and calculating the Jacobean inverted matrix for control in closed loop. The effectiveness of various fuzzy control structures in controlling the force-position of the robot or mechatronics actuators is presented.
The paper proposes an innovative type of fuzzy logic controller for robot actuators, building upon the current state of the art fuzzy architectures and various observations from work with Fuzzy Logic and Extenics Theory. This leads to a modified fuzzy controller, with a significantly simpler rule base, which shows comparable results. The effect is achieved by taking advantage of the rule base makeup of a regular linear fuzzy controller. Some slight modification is needed to the controller architecture, which is explained in detail. The rationality and validity of the proposed model are demonstrated through simulation in the Matlab/Simulink environment. The results show that the proposed new controller architecture obtains remarkable results, while having the advantage of increased simplicity in design and setting of parameters. Throughout the paper, opportunities for further improvement and research are highlighted and discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.