The Effectiveness Of Variation Weight Summation Approach For Gantry Crane System Via Multi Objective Gravitational Search Algorithm (MOGSA)

Anis Sofea, Ahmad Tamizi (2015) The Effectiveness Of Variation Weight Summation Approach For Gantry Crane System Via Multi Objective Gravitational Search Algorithm (MOGSA). Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) The Effectiveness Of Variation Weight Summation Approach For Gantry Crane System Via Multi Objective Gravitational Search Algorithm (MOGSA) 24 Pages.pdf Download (509kB)

Abstract

Gantry Crane System (GCS) is known as an object that able to lift heavier load horizontally from one point to another point. It is commonly used in industry for heavy load related in transporting and loading large objects. Moreover, the applications of GCS also are not perfect since that there are always have disturbance when transporting the load. Regarding to this, the probabilities to cause dangerous to the surrounding area are high. Thus, to prevent this, many researchers try to investigate on how to prevent this problem. By using various kind of algorithm, the result shows which kind of algorithm are better to obtain high optimization of GCS. This report focuses the implementation a new algorithm known as Gravitational Search Algorithm (GSA) into GCS. This algorithm gain interest by many researchers since the introduced in 2009. Therefore, the GSA will be implemented with 5 controllers of (PID+PD) into GCS to obtain a good optimization. By using MATLAB R2012a, the simulations of block diagram GCS will be modeled by using mathematical function of Lagrange Equation. This algorithm will be implemented Multi Objective Gravitational Search Algorithm (MOGSA) technique and the result will be compared with another algorithm from previous journal known as Multi Objective Particle Swarm Optimization (MOPSO). The result obtained shows that MOGSA are better in optimization than MOPSO.

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