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Affiliation of Author(s):机电工程学院

Journal:Proc IMechE Part I:J Systems and Control Engineering

Funded by:国家自然科学基金项目

Key Words:Three-dimensional elliptical vibration cutting, system identification, nonlinear Wiener model, improved memetic algorithm

Abstract:This article focuses on the nonlinear Wiener system identification of three-dimensional elliptical vibration cutting. The developed three-dimensional elliptical vibration cutting device is actuated by four piezoelectric stacks, which have hyster- esis nonlinear characteristics. Our research proposes an improved memetic algorithm in order to identify the nonlinear elliptical vibration cutting model. The improved memetic algorithm displays the advantages of both particle swarm opti- mization and genetic algorithm, while simultaneously overcoming these programs’ shortcomings. Moreover, it can quickly and efficiently search for the global optimization. The improved memetic algorithm’s identification performance may be compared with the conventional memetic algorithm, particle swarm optimization, and genetic algorithm using two well- known test functions. Test results demonstrate that the improved memetic algorithm can search the global optimal solu- tion more efficiently than available state-of-the-art algorithms. Based on the input–output data collected from experi- ments, the accuracy of the identification model can potentially reach 97.55%. This relatively small margin of error verifies the efficiency of the proposed improved memetic algorithm for system identification.

Co-author:林洁琼

First Author:Mingming Lu

Indexed by:Journal paper

Volume:228

Issue:7

Page Number:1

Number of Words:1

ISSN No.:0959-6518

Translation or Not:no

Date of Publication:2014-08-14