Description: 针对机器人比赛和电子设计竞赛中机器人寻线行走的普遍要求，提出了一种通用的寻线行走机器人的设计方法。机器人的核心控制器包括实现控制算法的DSP和用于扩展功能实现的CPLD；对来自光电检测传感器的信号采用模糊控制规则进行综合，核心控制器根据模糊控制器输出调整机器人的行走路线，最终实现机器人寻线行走。-For robot competitions and robot design competitions in the electronic search request line walking in general, a generic search line design method of walking robot. Robot controller, including the realization of the core of the DSP and control algorithms for the extensions to achieve the CPLD from photoelectric sensor signals using integrated fuzzy control rules, the core controller in accordance with the output of fuzzy controller to adjust the walking robot line, and ultimately realize hunting walking robot. Platform: |
Size: 531456 |
Author:guojiaxu |
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Description: 针对遗传算法的特点，提出一种用模糊控制的方法来调整交叉概率和变异概率的改进模糊遗传算法及其算法结构，并 将其应用于神经模糊控制器的综合优化设计。-For the characteristics of genetic algorithm, a method using fuzzy control to adjust the crossover probability and mutation probability of improving the fuzzy genetic algorithm and its algorithm structure, and applies a comprehensive neuro-fuzzy controller optimized. Platform: |
Size: 239616 |
Author:陆见 |
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Description: 一种基于模糊神经网络的控制策略，融合了模糊控制和神经网络的优点，根据变量的动态调整实施控制器的动态参数调整-Based on fuzzy neural network control strategy, the convergence of fuzzy control and neural network advantages, in accordance with the dynamic adjustment of the implementation of variable controller to adjust the dynamic parameters Platform: |
Size: 232448 |
Author:周炜 |
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Description: In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 676864 |
Author:Sam |
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Description: HOW TO WRITE A SUCCESSFUL SCIENTIFIC THESIS
In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 20823040 |
Author:Sam |
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Description: We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a
kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented
confirming the performance of the tracking controller and its application to different navigation problems.- We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a
kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented
confirming the performance of the tracking controller and its application to different navigation problems. Platform: |
Size: 227328 |
Author:hamed |
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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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Search - fuzzy controller robot