http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 주제어 : Online tuning technique (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Hysteresis Modeling of Magneto-Rheological Damper using Self-Tuning Lyapunov-based Fuzzy Approach
Liem, Dao Thanh,Truong, Dinh Quang,Ahn, Kyoung Kwan Korean Society for Precision Engineering 2015 International Journal of Precision Engineering and Vol.16 No.1
Magneto-rheological (MR) fluid damper is a semi-active control device that has recently received more attention because they offer the adaptability of active control devices without requiring the associated large power sources. But inherent nonlinear nature of the MR fluid damper is one of the challenging aspects for utilizing this device to achieve the high performance. So development of an accurate MR fluid damper model is necessary to take the advantages from its unique characteristics. The focus of this paper is to develop an alternative method for modeling a MR fluid damper by using a so-called self-tuning Lyapunov-based fuzzy model (STLFM). Here, the model is constructed in the form of a center average fuzzy interference system, of which the fuzzy rules are designed based on the Lyapunov stability condition. In addition, in order to optimize the STLFM, the back propagation learning rules are used to adjust the fuzzy weighting net. Firstly, experimental data of a damping system using this damper is used to optimize the model. Next, the optimized model is used to estimate online the damping performance in the real-time conditions. The modeling results prove convincingly that the developed model could represent satisfactorily the behavior of the MR fluid damper.
-
Hysteresis Modeling of Magneto-Rheological Damper using Self-Tuning Lyapunov-based Fuzzy Approach
Dao Thanh Liem,DINH QUANG TRUONG,안경관 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
Magneto-rheological (MR) fluid damper is a semi-active control device that has recently received more attention because they offerthe adaptability of active control devices without requiring the associated large power sources. But inherent nonlinear nature of theMR fluid damper is one of the challenging aspects for utilizing this device to achieve the high performance. So development of anaccurate MR fluid damper model is necessary to take the advantages from its unique characteristics. The focus of this paper is todevelop an alternative method for modeling a MR fluid damper by using a so-called self-tuning Lyapunov-based fuzzy model(STLFM). Here, the model is constructed in the form of a center average fuzzy interference system, of which the fuzzy rules aredesigned based on the Lyapunov stability condition. In addition, in order to optimize the STLFM, the back propagation learning rulesare used to adjust the fuzzy weighting net. Firstly, experimental data of a damping system using this damper is used to optimize themodel. Next, the optimized model is used to estimate online the damping performance in the real-time conditions. The modeling resultsprove convincingly that the developed model could represent satisfactorily the behavior of the MR fluid damper.
-
DINH QUANG TRUONG,안경관,Truong Quoc Thanh 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.
In this paper, a novel magnetic actuator named Linear Magnetic Actuator (LMA) is proposed, designed and fabricated for applications such as active magnetic bearing systems to deal with vibration problems in rotating machines. The LMA actuator is constructed from a moving body called ‘mover’ and three driving parts which drive the mover. Real-time experiments on the LMA have been conducted to derive a mathematical model for this actuator to investigate the generated electro-magnetic force as well as further research. The modeling results in a comparison with the actual performance show that the electro-magnetic force varied symmetrically with the mover motion defined by the applied current. Furthermore, an advanced trajectory controller – online tuning fuzzy PID controller has been designed for the LMA in order to improve the working performance. Finally, real-time experiments have been carried out to investigate the tracking performance of the designed LMA control system. The experimental results prove that the LMA driven by the proposed controller could track the desired trajectories with high accuracy.
-
Truong, Dinh Quang,Thanh, Truong Quoc,Ahn, Kyoung Kwan 한국정밀공학회 2012 International Journal of Precision Engineering and Vol.13 No.8
In this paper, a novel magnetic actuator named Linear Magnetic Actuator (LMA) is proposed, designed and fabricated for applications such as active magnetic bearing systems to deal with vibration problems in rotating machines. The LMA actuator is constructed from a moving body called 'mover' and three driving parts which drive the mover. Real-time experiments on the LMA have been conducted to derive a mathematical model for this actuator to investigate the generated electro-magnetic force as well as further research. The modeling results in a comparison with the actual performance show that the electro-magnetic force varied symmetrically with the mover motion defined by the applied current. Furthermore, an advanced trajectory controller - online tuning fuzzy PID controller has been designed for the LMA in order to improve the working performance. Finally, real-time experiments have been carried out to investigate the tracking performance of the designed LMA control system. The experimental results prove that the LMA driven by the proposed controller could track the desired trajectories with high accuracy.
-
Novel Intelligent-Based Gravity Control for Industrial Robot Arm
Abdol Reza Babakhani,Esmail Moradi,Mohammad Salooki,Rouholla Fakhraie 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
According to this research, a new intelligent-based parallel gravity controller is proposed for industrial robot arm. All model-base conventional controllers are related to dynamic model of systems especially in uncertain systems. To solve this challenge intelligent theory and partly linear methodology are play important role. Fuzzy logic theory is used to estimate the nonlinear dynamic part of robot manipulator and to improve the fuzzy performance PD gravity is used. To estimate the 2 DOF robot manipulator system’s dynamic, proportional plus modified derivative with 7 rules Mamdani inference system is design and applied to modified PD gravity methodology. The proportional coefficient of controller is tuned by new methodology in limitation uncertainties. The results demonstrate that the proposed controller is a partly model-free controllers which works well in certain and partly uncertain system.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
