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Journal of Theoretical and Applied Vibration and Acoustics، جلد ۶، شماره ۱، صفحات ۱۸۳-۲۰۰
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عنوان انگلیسی Application of intelligent adaptive force control for a helicopter seat suspension
چکیده انگلیسی مقاله The high level of transmitted noise and vibrations of a helicopter flight to the aircrew body can cause discomfort and perhaps affect their performance and physical condition. This paper presents an active seat suspension system with intelligent active force control (AFC) using an artificial neural network (ANN), iterative learning (IL) algorithm, and fuzzy logic (FL) to reduce vibration on the helicopter seat. Therefore, three control schemes are considered for this application, namely AFCANN, AFCIL, and AFCFL. Computer simulations have been performed using MATLAB software to verify the proposed control schemes. The pilot head displacement, acceleration, and also seat acceleration transmissibility are selected as target variables. The simulation results illustrate that the usage of proposed control schemes leads to effective control of target variables, especially active force control using fuzzy logic (AFCFL), which is showing superior performance and accuracy between other intelligent adaptive force control schemes.In future work, this controller will be assessed by experimental tests.
کلیدواژه‌های انگلیسی مقاله Pilot body vibration,Fuzzy logic,Iterative learning,Neural network,Active force controller
نویسندگان مقاله Mohamad Gohari |
Assistant Professor, School of Mechanical Engineering, Arak University of Technology, Arak, Iran

Mona Tahmasebi |
Assistant Professor, School of Mechanical Engineering, Arak University of Technology, Arak, Iran

Samaneh Ahmadi |
MSc Student, Arak University of Technology, Arak, Iran

نشانی اینترنتی https://tava.isav.ir/article_243762_5102cf06ef4ddf08255e3ad80927e356.pdf
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