Academic Journal

Research on Structure Design and Control Method of Magnetorheological Suspension Based on Improved Fruit Fly Optimization Algorithm

التفاصيل البيبلوغرافية
العنوان: Research on Structure Design and Control Method of Magnetorheological Suspension Based on Improved Fruit Fly Optimization Algorithm
المؤلفون: Lili Dai, Congmin Fang, He Lu, Xinhua Liu, Dezheng Hua, Yuping Yang
المصدر: Machines, Vol 11, Iss 2, p 273 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Mechanical engineering and machinery
مصطلحات موضوعية: magnetorheological fluid (MRF), non-parametric dynamic model, control strategy, improved fruit fly optimization algorithm, Mechanical engineering and machinery, TJ1-1570
الوصف: To reduce engine vibration, a semi-active controlled magnetorheological suspension is designed. First, the magnetic circuit of the new magnetorheological suspension is simulated. Furthermore, the non-parametric forward and inverse dynamic models of the magnetorheological suspension with the Elman neural network are established, where the modeling results and accuracy are analyzed. Second, according to the characteristics of semi-active vibration control of engine suspension, an improved fruit fly optimized proportional-integral-differential (PID) controller is proposed. Compared with the original fruit fly optimized PID controller and particle swarm optimization PID controller, the control strategies based on the proposed methods are simulated by MATLAB. Then, a vibration control experiment is carried out under different control strategies. The simulation and experiment results show that the PID controller based on the improved fruit fly optimization algorithm has the advantages of short adjustment time and fast dynamic response.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2075-1702
Relation: https://www.mdpi.com/2075-1702/11/2/273; https://doaj.org/toc/2075-1702
DOI: 10.3390/machines11020273
URL الوصول: https://doaj.org/article/88464e9a0cb64e90874dbd6710ce3fad
رقم الانضمام: edsdoj.88464e9a0cb64e90874dbd6710ce3fad
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20751702
DOI:10.3390/machines11020273