NDLI: Optimal PID controller parameters for nonlinear gantry crane system via MOPSO technique

Content Provider	IEEE Xplore Digital Library
Author	Jaafar, H.I. Sulaima, M.F. Mohamed, Z. Jamian, J.J.
Copyright Year	2013
Description	Author affiliation: Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia (Jaafar, H.I.; Sulaima, M.F.) \|\| Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia (Mohamed, Z.; Jamian, J.J.)
Abstract	This paper presents development of an optimal PID controller for controlling the nonlinear gantry crane system. The PSO with linear weight summation approach is implemented for finding optimal PID parameters. The effectiveness of variation weight summation is observed in order to find the optimal performances of system. The system dynamic model is derived using Lagrange equation. A combination of five parameters (PID and PD) controllers are utilized for positioning and oscillation control of the system. System responses including trolley displacement and payload oscillation are observed and analyzed. Simulation is conducted within Matlab environment to verify the performance of the controller. It is demonstrated that implementation of linear weight summation approach in controlling system is useful in order to find the required performances according to the needs and circumstances.
Starting Page	86
Ending Page	91
File Size	342647
Page Count	6
File Format	PDF
e-ISBN	9781467346917
DOI	10.1109/CSUDET.2013.6670992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-30
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cranes Computational Intelligence Multi-Objective Particle Swarm Optimization Conferences Gantry Crane PID Mathematical model PD control Oscillators Tuning Payloads Swarm Intelligence
Content Type	Text
Resource Type	Article

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