HIERARCHICAL FUZZY CONTROL OF ROBOTIC MANIPULATORS

This article describes the implementation of hierarchical control on a robotic manipulator using fuzzy logic. A decentralized control approa ch is implemented, i.e., individual controllers control the two links of the robot. The kinematic aspect of the control is treated as the su pervisory mode at a higher level, and the joint control is treated as the lower level. Fuzzy logic based rules determine the inverse kinemat ic mapping, which maps the Cartesian coordinates to the individual joi nt angles. This scheme is implemented using Togai Infra Logic software and the entire simulation software is implemented using the ''C'' lan guage. The results of the simulation are discussed. This experiment is a proof of the principle that the fuzzy controller can be used to map the nonlinear mapping, which can be implemented to more complex probl ems of inverse kinematics of higher degree of freedom robots. A fuzzy PD controller is implemented on a Rhino robot. The performance is comp ared with a traditional PD controller. The fuzzy controller, being an adaptive technique, gives better performance than a traditional linear PD controller over a typical operational range. The fuzzy controller reaches the desired position with no overshoot, which is unlikely with a PD controller. (C) 1995 John Wiley and Sons, Inc.