scholarly journals Optimal design of tricept parallel manipulator with particle swarm optimization using performance parameters

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Syed Saad Farooq ◽  
◽  
Aamer Ahmed Baqai ◽  
Muhammad Faizan Shah ◽  
◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optimum Design ◽  
Particle Swarm ◽  
Parallel Manipulators ◽  
Optimized Design ◽  
Performance Parameters ◽  
Swarm Optimization ◽  
Design Variables ◽  
Design Values ◽  
Processing Effort

The parallel manipulators are skilled for their precision manufacturing but need optimized design to get maximum dexterity that will lead towards better industrial production rates. The 3-DOF tricept is chosen to utilize its maximum capabilities for its functionality. Three performance parameters conditioning index, workspace volume, and global conditioning index are used to obtain optimum design variables of tricept mechanism. With a view to compare them in terms of processing effort, particle swarm optimization (PSO) is applied here. Finally, multiobjective optimization with two strategies weighted and epsilon constraint is performed to control the different parameters simultaneously and also to give validation of previously obtained GA based optimum design values of tricept mechanism.

Airfoil Topology Optimization using Teaching-Learning based Optimization

2015 ◽  
Vol 6 (1) ◽  
pp. 23-34
Author(s):  
Dushhyanth Rajaram ◽  
Himanshu Akhria ◽  
S. N. Omkar
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Spline Curves ◽  
Conceptual Design Phase ◽  
Design Variables ◽  
Heuristic Technique ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

This paper primarily deals with the optimization of airfoil topology using teaching-learning based optimization, a recently proposed heuristic technique, investigating performance in comparison to Genetic Algorithm and Particle Swarm Optimization. Airfoil parametrization and co-ordinate manipulations are accomplished using piecewise b-spline curves using thickness and camber for constraining the design space. The aimed objective of the exercise was easy computation, and incorporation of the scheme into the conceptual design phase of a low-reynolds number UAV for the SAE Aerodesign Competition. The 2D aerodynamic analyses and optimization routine are accomplished using the Xfoil code and MATLAB respectively. The effects of changing the number of design variables is presented. Also, the investigation shows better performance in the case of Teaching-Learning based optimization and Particle swarm optimization in comparison to Genetic Algorithm.

scholarly journals Accelerated Particle Swarm for Optimum Design of Frame Structures

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
S. Talatahari ◽  
E. Khalili ◽  
S. M. Alavizadeh
Keyword(s):  
Particle Swarm Optimization ◽  
Convergence Rate ◽  
Optimum Design ◽  
Particle Swarm ◽  
Global Search ◽  
Frame Structure ◽  
Frame Structures ◽  
Swarm Optimization ◽  
Accelerated Particle Swarm Optimization

Accelerated particle swarm optimization (APSO) is developed for finding optimum design of frame structures. APSO shows some extra advantages in convergence for global search. The modifications on standard PSO effectively accelerate the convergence rate of the algorithm and improve the performance of the algorithm in finding better optimum solutions. The performance of the APSO algorithm is also validated by solving two frame structure problems.

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