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In this study, the LQR control theory was employed to control the upright inverted pendulum to be balanced. The traditional controller was designed by the mathematical model of the physical system, but fuzzy controller collected set theory, membership function and control knowledge. In fact, LQR controllers are able to processes make complex and inexact mathematical models be controlled well. There...
Robots can adapt strides according to ground conditions and walk stably in different environments. This study uses fuzzy logic control and Linear Quadratic Regulator (LQR) control theory on biped robot system to achieve the development of balanced and fast footsteps. Traditional controllers are designed according to mathematical models of physical systems, while fuzzy controller is a physical system...
In allusion to the transmission of a new type of truck with three shafts four levels, it's Collaborative Optimization framework including mathematical model is set up. Through taking multidisciplinary optimization software iSIGHT as optimization design platform to integrate disciplinary analysis tool ANSYS and Response Surface Method, Collaborative Optimization of transmission is completed and satisfying...
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