期刊论文详细信息
Micromachines
Duhem Model-Based Hysteresis Identification in Piezo-Actuated Nano-Stage using Modified Particle Swarm Optimization
Su Li1  Peng Yan Yan2  Khubab Ahmed2 
[1] Atom Horizon Electric, Jinan 250061, Shandong, China;Key Laboratory of High-efficiency and Clean Mechanical Manufacture, School of Mechanical Engineering, Shandong University, Ministry of Education, Jinan 250061, Shandong, China;
关键词: model identification;    piezo-actuated nano-stage;    particle swarm optimization;    Dhuem model;   
DOI  :  10.3390/mi12030315
来源: DOAJ
【 摘 要 】

This paper presents modeling and parameter identification of the Duhem model to describe the hysteresis in the Piezoelectric actuated nano-stage. First, the parameter identification problem of the Duhem model is modeled into an optimization problem. A modified particle swarm optimization (MPSO) technique, which escapes the problem of local optima in a traditional PSO algorithm, is proposed to identify the parameters of the Duhem model. In particular, a randomness operator is introduced in the optimization process which acts separately on each dimension of the search space, thus improving convergence and model identification properties of PSO. The effectiveness of the proposed MPSO method was demonstrated using different benchmark functions. The proposed MPSO-based identification scheme was used to identify the Duhem model parameters; then, the results were validated using experimental data. The results show that the proposed MPSO method is more effective in optimizing the complex benchmark functions as well as the real-world model identification problems compared to conventional PSO and genetic algorithm (GA).

【 授权许可】

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