$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

A Fuzzy Skyhook Algorithm Using Piecewise Linear Inverse Model 원문보기

International journal of fuzzy logic and intelligent systems : IJFIS, v.6 no.3, 2006년, pp.190 - 196  

Cho Jeong-Mok (Dept. of Control & Instrumentation Eng. Changwon National University) ,  Yoo Bong-Soo (Dept. of Control & Instrumentation Eng. Changwon National University) ,  Joh Joong-Seon (Dept. of Control & Instrumentation Eng. Changwon National University)

Abstract ▼ AI-Helper 아이콘AI-Helper

In this paper, the nonlinear damping force model is made to identify the properties of the ER damper using higher order spectrum. The higher order spectral analysis is used to investigate the nonlinear frequency coupling phenomena with the damping force signal according to the sinusoidal excitation ...

주제어

#Fuzzy Sky-hook   #Inverse Model   #Genetic Algorithm   #Quarter-car Model   #ER Damper  

AI 본문요약
AI-Helper 아이콘 AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

제안 방법

  • In this paper, analysis of higher order spectrum about measured damping force is performed and confirmed the existence of nonlinearity of ER damper. From the results, we propose damping force model expressed by the polynomial with the multiple power of piston velocity and show the accuracy of damping force model by comparing with experimental results. Control of damping force of an ER damper is also very challenging because the strong nonlinearity and the semi-active relationship between the damping force and the input voltage.
  • To take maximum advantage of ER fluids in control applications a reliable method is needed to predict their nonlinear response. In this paper, analysis of higher order spectrum about measured damping force is performed and confirmed the existence of nonlinearity of ER damper. From the results, we propose damping force model expressed by the polynomial with the multiple power of piston velocity and show the accuracy of damping force model by comparing with experimental results.
  • In this paper, we performed characteristic test using nonlinear frequency by measuring of the damping force and signal process of bispectrum and trispectrum. And we confirmed existence of nonlinear properties through test results.
  • WANG proposed inverse model for modified Bouc-Wen model of MR fluid damper using feed-forward and recurrent neural networks [6]. In this paper, we proposed ER damper model that express the influence of electric field by piecewise linear equation in order to reflect nonlinearity of ER damper more precisely.
  • In this study, we improved Liu et al/s work by including acceleration in the premise part of the fuzzy rules. Figure 6 shows that the acceleration of the sprung mass can have different directions when the sprung mass is moving upward.

대상 데이터

  • Figure 2 shows a schematic diagram of the test equipment used fbr the measurement of ER properties. The high voltage amplifier used in this study is 10/10A Amplifier, which was manufactured by TREK Corporation. In order to measure the damping force of ER damper, load cell (SENSOTEC Corporation Model 45) was used and its measuring range is 8896N.

이론/모형

  • To generate desired damping force in applications of ER damper, the inverse model of ER damper is necessary. Therefore we implement inverse model by using piecewise linear damping force model.
본문요약 정보가 도움이 되었나요?

참고문헌 (10)

  1. A. K. Cater, 'Transient Motion Control of Passive and Semiactive Damping for Vehicle Suspensions', Master of Science Thesis, Virginia Polytechnic and State University, Blacksburg, Virginia, July 1998 

  2. G. P. Frost, M. N. Howell, and Q. H. Wu, 'Moderated Reinforcement Learning of Active and Semiactive Vehicle Suspension Control Laws', Proceedings of the Institution of Mechanical Engineers, Part 1, Vol. 210, No. 14, pp.249-257, 1996 

  3. S. Hwang, S. Heo, H. Kim, and K. Lee, 'Vehicle Dynamic Analysis and Evaluation of Continuously Controlled Semiactive Suspensions Using Hardware-in the-loop Simulation', Vehicle System Dynamics, Vol. 27, No. 5-6, pp. 423-434, June 1997 

    상세보기 crossref

  4. S. B. Choi, S. K. Lee, and Y. P. Park, 'A hysteresis model for the field-dependent damping force of a magneto-rheological damper', Journal of Sound and Vibration 245(2), pp. 375-383, 2001 

    상세보기 crossref

  5. P.Q. Xia, 'An inverse model of MR damper using optimal neural network and system identification', Journal of Sound and vibration 266, pp. 1009-1023, 2003 

    상세보기 crossref

  6. D. H. Wang and W. H. Liao, 'Modeling and control of magneto-rheological fluid dampers using neural networks', Smart Materials and Structures 14, pp. 111-126, 2005 

    상세보기 crossref

  7. C. L. Nikias and M. R. Raghuveer, 'Bisprctrurn Estimation', Proceeding of IEEE, Vol. 75, No.7, pp. 869-891, 1987 

  8. C. L. Nikias and J. M. Mendel, 'Signal Processing with High Order Spectra', IEEE Signal Processing Magazine, pp. 10-37, 1993 

  9. L. A. Zadeh, 'Fuzzy Sets', Information and Control, Vol.8, pp.338-353, 1965 

    상세보기 crossref

  10. Y. Liu, F. Gordaninejad, C. Evrensel, S. Karakas, and U. Dogruer, 'Experimental study on fuzzy skyhook control of a vehicle suspension system using a magneto-rheological fluid damper', Proceedings of SPIE on Smart Structures and Materials, Vol.5388, pp. 338-347, 2004 

저자의 다른 논문 :

관련 콘텐츠

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로