STUDY OF FUZZY CMAC NEURAL NETWORK BASED ADAPTIVE FORCE CONTROL OF PARALLEL ROBOTS

摘要

This paper introduces a kind of Takagi type fuzzy reasoning based fuzzy CMAC neural network and analyzes its learning algorithm. We have designed an adaptive force controller for parallel robots based on the neural network mentioned above. Simulation and experiment both prove that the controller we designed is feasible and effective.