Force controlled hexapod walking
Data(s) |
2014
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Resumo |
This thesis is a study on controlling methods for six-legged robots. The study is based on mathematical modeling and simulation. A new joint controller is proposed and tested in simulation that uses joint angles and leg reaction force as inputs to generate a torque, and a method to optimise this controller is formulated and validated. Simulation shows that hexapod can walk on flat ground based on PID controllers with just four target configurations and a set of leg coordination rules, which provided the basis for the design of the new controller. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/78978/1/Karunakalage_De%20Silva_Thesis.pdf De Silva, Shalutha (2014) Force controlled hexapod walking. PhD thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Hexapod walking #PID controller based walking #Robot walking #Machine walking #Force sensors #Evolutionary algorithms #Neural network based walking #Local Cluster Neural Networks (LCNN) #Artificial neural networks #Function approximation |
Tipo |
Thesis |