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This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum
pre-defined torque, without collision with any obstacle in the robot workspace. -
This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum
pre-defined torque, without collision with any obstacle in the robot workspace.
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Size: 1364992 |
Author: guigui |
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Description: The induction motor is fed by a current-controlled PWM inverter which is built using a Universal Bridge block. The motor drives a mechanical load characterized by inertia J, friction coeficient B, and load torque TL . The speed control loop uses a proportional-integral controller to produce the quadrature-axis current reference iq* which controls the motor torque. The motor flux is controlled by the direct-axis current reference id*. Block DQ-ABC is used to convert id* and iq* into current references ia*, ib*, and ic* for the current regulator. Current and Voltage Measurement blocks provide signals for visualization purpose. Motor current, speed, and torque signals are available at the output of the Asynchronous Machine block.-The induction motor is fed by a current-controlled PWM inverter which is built using a Universal Bridge block. The motor drives a mechanical load characterized by inertia J, friction coeficient B, and load torque TL . The speed control loop uses a proportional-integral controller to produce the quadrature-axis current reference iq* which controls the motor torque. The motor flux is controlled by the direct-axis current reference id*. Block DQ-ABC is used to convert id* and iq* into current references ia*, ib*, and ic* for the current regulator. Current and Voltage Measurement blocks provide signals for visualization purpose. Motor current, speed, and torque signals are available at the output of the Asynchronous Machine block.
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Size: 15360 |
Author: jurifa |
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Description: position sensorlessdirect torque control of bldc motor drive
Platform: |
Size: 303104 |
Author: Sajana |
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Description: position sensorless direct torque control of bldc motor
Platform: |
Size: 1470464 |
Author: Sajana |
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Description: position sensorless direct torque control of bldc motor
Platform: |
Size: 384000 |
Author: Sajana |
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Description: position sensorless direct torque control of bldc motor drive
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Size: 163840 |
Author: Sajana |
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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: 猜数字游戏
能够随机出现十以内的数字
。。。。。(In this paper, the multi-objective structural optimization design of torque converter is introduced with the application of genetic algorithm. The main optimization criteria are torque ratio, efficiency, permeability and a series of high efficiency. 16 variables are chosen as the main optimization parameters. Among them are: the core diameter and the cross section parameters, the blade angle and other core and shell. The range of values of these variables is obtained from the prototype analysis of the structure. A mathematical model based on multi streams is adopted. A torque converter ph410 is provided for hydrodynamic calculation. Provides a parameter sub optimal for the group used as a basis for further consideration of the results of these calculations. In addition, the influence of the range constraint on the optimization parameters is analyzed. The difference is great)
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Size: 13312 |
Author: jeremyleo
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