Title :
Optimization of driving amplifiers for smart actuators using genetic algorithm
Author :
Zhu, H. ; Ragon, S. ; Lindner, D.K. ; Abdalla, M.M. ; Seresta, O. ; Gurdal, Z.
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
A high-efficiency low-profile driving amplifier for smart actuators is essential for portable actuator devices. In this paper, an optimized design of a half-bridge switching circuit to drive smart actuators is described. A genetic algorithm, which is well suited for solving the discrete optimization problem, is applied to the traditional circuit design to make it smaller and more efficient. The calculation of the power dissipation of the MOSFET is a prerequisite for obtaining realistic designs. The results of the optimization procedure are summarized.
Keywords :
genetic algorithms; intelligent actuators; power amplifiers; switching circuits; MOSFET; discrete optimization; driving amplifiers; genetic algorithm; half-bridge switching circuit; portable actuator devices; power dissipation; smart actuators; Bridge circuits; Circuit synthesis; Design optimization; Genetic algorithms; Inductors; Intelligent actuators; MOSFET circuits; Power amplifiers; Power dissipation; Switching circuits;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1280717
