Force controlled hexapod walking
| Data(s) |
2014
|
|---|---|
| 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 |