APPLICATION OF GENETIC ALGORITHM IN DESIGN OF WATER TANKS
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): RAJIV GUPTA
Abstract: Design of water tanks is a specialized field, which requires experience and sound knowledge of engineering methodologies. Economy and Cost analysis of water tanks also become important especially in case of large capacity water tanks. This research paper presents an algorithm to optimize the tank design and the construction cost for a given volume of water tank using Genetic Algorithm (GA). Genetic Algorithm proves to be an efficient search algorithm to optimize design and cost of water tanks. Genetic Algorithm chooses a proper ratio of radius to height and the cost can be reduced by 20%. Parametric study has also been carried out to study the effect of various GA parameters on the optimized cost of construction
- Publication Date: 22-Feb-2015
- DOI: 10.15224/978-1-63248-039-2-18
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KINEMATICS ANALYSIS AND SIMULATION OF A ROCKER- BOGIE MOBILE ROBOT
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): IMAN DASHTI , MOHAMMAD REZA ELHAMI
Abstract: For a wheeled mobile robot in rough terrain, one of the known suspension systems is the rocker-bogie mechanism. The high mobility of the robot, moving in 3 dimensions with 6 degrees of freedom makes the kinematics modelling as a challenging task. In this paper, a full 6-DOF kinematic model of a rocker-bogie mobile robot is presented. The A matrices has been derived based on Denavit-Hartenberg coordinate transformation approach. The kinematic equations and Jacobian matrices for the wheels are derived which relates the rover velocity vector with wheel angular velocities and joint angular rates. Furthermore, a rover-terrain model is developed to obtain the necessary joint angles and some attitude angles by solving nonlinear optimization equations. Finally, the robot model is also constructed in MD Adams and simulations are carried out to verify the kinematics model. The results show very close match of kinematic model and simulation in rough terrain trajectory.
- Publication Date: 22-Feb-2015
- DOI: 10.15224/978-1-63248-039-2-19
- Views: 0
- Downloads: 0