The Analysis of Trajectory Control of Non-holonomic Mobile Robots Based on Internet of Things Target Image Enhancement Technology and Backpropagation Neural Network.
作者： Lanfei Zhao , Xiaosong Fan , Yufei Li , Ganlin Wang
DOI: 10.3389/FNBOT.2021.634340
关键词:
摘要: The trajectory tracking and control of incomplete mobile robots are explored to improve the accuracy robot controller. First, mathematical kinematics model non-holonomic is studied. Then, improved Backpropagation Neural Network (BPNN) applied On this basis, a controller combining fuzzy algorithm neural network designed linear velocity angular robot. Finally, target image can be analyzed effectively based on Internet Things (IoT) enhancement technology. In MATLAB environment, performances traditional BPNN in robots' compared. before after improvement shows no apparent differences; however, training speed significantly accelerated. fuzzy-BPNN presents significant improvements compared with BPNN. provide higher efficiency for robots.
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