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Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm

Nur Iffah, Mohamed Azmi and Nafrizuan, Mat Yahya and Ho, Jun Fu and Wan Azhar, Wan Yusoff (2019) Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm. In: MATEC Web of Conferences: Engineering Application of Artificial Intelligence Conference (EAAIC 2018), 3-5 December 2018 , Kota Kinabalu, Sabah, Malaysia. pp. 1-8., 255 (04001). ISSN 2261-236X

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The development of combination of proportional-integral-derivative and proportional-derivative (PID-PD) controller for overhead crane is presented. Due to the pendulum-like settings, the swinging of load has caused many difficulties while operating the overhead crane. Swinging of the load causes unnecessary tension to the cable and structure of the overhead crane, which will compromise the safety of operator and other workers. Overhead cranes should have the ability to move the load to desired point as fast as possible while minimizing the load swing and maintaining the accuracy. Proportional-integral-derivative (PID) controller is used for overhead crane positioning and proportional-derivative (PD) controller for load oscillation. New time-domain performance criterion function is used in particle swarm optimization (PSO) algorithm for the tuning of the PID-PD controller rather than the general performance criteria using error of the system. This performance criterion function monitors the performance in terms of rise time, overshoot, settling time and steady state error of the overhead crane system. The performance of the optimised PID-PD controller is verified with simulation in MATLAB. The PSO optimized PID-PD controllers with new performance criterion are shown effective in improving the step response of the overhead crane position as well as controlled the load oscillation.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: particle swarm optimization, PID controller, PD controller, overhead crane control system.
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Dr. Nafrizuan Mat Yahya
Date Deposited: 29 Jan 2019 02:05
Last Modified: 24 Apr 2019 07:59
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