Energy optimization of driving amplifiers for smart actuators

Zhu, Huiyu; Song, Chunping; Lindner, Douglas K.; Abdalla, Mostafa; Gürdal, Zafer

doi:10.1117/12.484013

Cited by 2 publications

(1 citation statement)

References 5 publications

(6 reference statements)

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“…As demonstrated in a number of other studies [1][2][3][4][5][6], mathematical optimization techniques offer an organized and methodical way of formulating and solving the design problem. These automated design techniques allow designers to simultaneously consider many more design parameters and constraints than would be possible using traditional design procedures.…”

Section: Introductionmentioning

confidence: 99%

Combined design of recurve actuators and drive electronics for maximum energy efficiency

et al. 2004

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Smart structures typically consist of many interacting components, which result in a closed loop formed by an actuator, structure, sensors, controller, and drive circuit components. Despite the recognition of component interactions, much of the traditional design approach for such systems is highly compartmentalized and sequential. The primary objective of the present work is to develop a basic understanding of the energy flow and dynamic interaction between the electrical and mechanical subsystems of smart actuators. When operating from portable power sources, a crucial factor in determining the performance of such a smart system is the battery capacity required for the actuator to operate through a given time span along with its life time. The real and reactive power in such a system will determine the battery life and size separately. While the real power is dissipated only in the drive circuit, the reactive power of the circuit and the actuator cannot be calculated individually, where the interaction arises. Multi-objective function optimization problem, which combines the real and reactive power by different weights, will result in a better balanced solution than optimizing either one of them separately. Genetic algorithm is applied for discrete component selection to generate more realistic designs. The optimization result is illustrated in the paper, as well as their relationship with multi-objective functions.

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Section: Introductionmentioning

confidence: 99%

Combined design of recurve actuators and drive electronics for maximum energy efficiency

et al. 2004

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Optimization of driving amplifiers for smart actuators using genetic algorithm

Zhu

Ragon

Lindner

et al.

IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)

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A high-efficiency low-profile driving amplifier for smart octuators is essential for portable actuator devices. In this paper, an optimized design of a halfbridge 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 prerequisitefor obtaining realistic designs. The results of the optimization procedure are summarized.

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Energy optimization of driving amplifiers for smart actuators

Cited by 2 publications

References 5 publications

Combined design of recurve actuators and drive electronics for maximum energy efficiency

Combined design of recurve actuators and drive electronics for maximum energy efficiency

Optimization of driving amplifiers for smart actuators using genetic algorithm

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