Control of robotic manipulator using fuzzy logic

This paper describes the implementation of hierarchical control on a robotic manipulator using fuzzy logic. A decentralized control approach is implemented, i.e., individual controllers control the two links of the robot. The kinematic aspect of the control is treated as the supervisory mode at a higher level and the joint control is treated as the lower level. Fuzzy logic based rules determine the inverse kinematic mapping which maps the Cartesian coordinates to the individual joint angles. This scheme is implemented using Togai Infra Logic software and the entire simulation software is implemented using C language. The results of the simulation are discussed. This experiment is a proof of principle to show that the fuzzy controller can be used to map the nonlinear mapping which can be implemented to the more complex problem of inverse kinematics of higher degree of freedom robots. A fuzzy PD controller is implemented on a Rhino robot and the performance is compared with a traditional PD controller