000 02886ntm a2200277 a 4500
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003 KUKTEM
005 20251117113311.0
008 150928t2015 my da f abm 000 0 eng d
020 _aTHE0006153(Local)
039 9 _a201905151610
_baida
_c201710120958
_daishah
_y201509281704
_zasma
040 _aUMP
090 _aTJ223.P55 134 2015 r Thesis
100 0 _aNur Iffah Mohamed Azmi
245 1 _aOptimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization /
_cNur Iffah Mohamed Azmi
260 _aKuantan, Pahang :
_bUMP,
_c2015
300 _axviii, 121 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD ROM
500 _aFaculty of Manufacturing Engineering
502 _aThesis (Master of Engineering (Manufacturing)) -- Universiti Malaysia Pahang -- 2015
504 _aBibliography : p. 107-113
520 3 _aController that uses PID parameters requires a good tuning method in order to improve the control system performance. Especially on hydraulic positioning system that is highly nonlinear and difficult to be controlled whereby PID parameters needs to be tuned to obtain optimum performance criteria. Tuning PID control method is divided into two namely the classical methods and the methods of artificial intelligence. Particle swarm optimization algorithm (PSO) is one of the artificial intelligence methods. Previously, researchers had integrated PSO algorithms in the PID parameter tuning process. This research aims to improve the PSO-PID tuning algorithms by integrating the tuning process with the Variable Weight Grey-Taguchi Design of Experiment (DOE) method. This is done by conducting the DOE on the two PSO optimizing parameters: the limit of change in particle velocity and the weight distribution factor. Computer simulations and physical experiments were conducted by using the proposed PSO-PID with the Variable Weight Grey-Taguchi DOE and the classical Ziegler-Nichols methods. They are implemented on the hydraulic positioning system. Simulation results show that the proposed PSO-PID with the Variable Weight Grey-Taguchi DOE has reduced the rise time by 48.13% and settling time by 48.57% compared to the Ziegler-Nichols method. Physical experiment results also show that the proposed PSO-PID with the Variable Weight Grey-Taguchi DOE tuning responds better than Ziegler-Nichols tuning. In conclusion, this research has improved the PSO-PID parameter by applying the PSO-PID algorithm together with the Variable Weight Grey-Taguchi DOE method as a good tuning method in the hydraulic positioning system.
650 0 _aProportional-Integral-Derivative
650 0 _aPID controllers
856 4 0 _uhttp://ecollib.ump.edu.my/3776/
_zLibrary access only
999 _aVIRTUA40
_c6344
_d6350
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6500*6501*8560*9992