Title :
Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism
Author :
Hsieh, G.-C. ; Lee, H.M. ; Chen, L.R. ; Penth, Y.J.
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
fDate :
31 Aug-4 Sep 1998
Abstract :
A fuzzy clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving a fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and speed-up the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction
Keywords :
control system analysis; control system synthesis; fuzzy control; genetic algorithms; optimal control; pumps; servomechanisms; control design; control optimisation; control performance; control simulation; fuzzy clustering-based genetic algorithm; fuzzy pulse-pump controller; locking behavior; locking performance; mixed elitist/fuzzy clustering selection strategy; objective function; overshoot minimisation; phase/frequency-locked servomechanism; two-dimensional X-Y mode controller; weighted integral absolute error; Biological cells; Clustering algorithms; Frequency conversion; Fuzzy control; Fuzzy logic; Genetic algorithms; Neural networks; Servomechanisms; Servomotors; System performance;
Conference_Titel :
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
Conference_Location :
Aachen
Print_ISBN :
0-7803-4503-7
DOI :
10.1109/IECON.1998.723949
