Description: BALLBEAM demonsrates Proportional-Derivative (PD) control as applied to a ball and beam simulation experiment. Execute by calling with no arguments.
P and PD controllers are implemented which manipulates the beam angle in response to the position of the ball on the beam. The setpoint is indicated by the red marker and adjusted using the slider at the bottom of the figure. The control gain, Kc, and the Derivative Time constant, Td, are adjusted by a sliders located in the right hand control panel.
Simulation data is stored in ballbeam.mat for subsequent analysis and parameter estimation.
This demo was originally developed with Matlab 5.3 and Matlab 6.0. Some of the user interface code was shamelessly ripped out of the standard Matlab demos. The demo is now updated for Matlab 2010b with additional documentation and suggested exercises for classroom use. Platform: |
Size: 65536 |
Author:Hamlin DSouza |
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Description: In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,-In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking, Platform: |
Size: 296960 |
Author:jacobjacobjacob17 |
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Description: 机器人控制系统的设计与matlab仿真中,实现独立PD双关节控制的源程序(The source program in robot control system design and MATLAB simulation, to achieve independent PD double joint control.) Platform: |
Size: 4096 |
Author:派小星
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