KANTHA RAO A\/L SIMANJALAM<\/p>\n
Crane system is widely used to transport payload from one point to another point. When
\ninput signal is applied to a crane system, the trolley will start to accelerate whilst causing swing
\nof payload. The ability to successfully transfer a payload by fulfilling the requirements is highly
\ndependent on operator skill, where a simple mistake can lead to accident and fatality. The
\nobjective of this project is to come up with a control system design to automate the crane system
\nin order to achieve its operating goals. The modeling of the control system for the purpose of this
\nproject is derived based on Euler-Lagrange formulation, and a gantry crane incorporating a
\npayload is considered. The controller applied was fuzzy-tuned PID. Fuzzy logic has been chosen
\nbecause of its ability to mimic human behavior accurately. On top of that, employing simple
\nstructure of PID controller by utilizing fuzzy system as gain tuners is able to improve the
\nrobustness of the crane system to cope with parameter variations. The end result is obtained
\nthrough Matlab Simulink and the effectiveness of the controller was investigated in terms of time
\nresponse, percentage of overshoot, payload sway and also robustness.<\/p>\n