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- 주제어 : Fuzzy time delay algorithms (검색결과 4 건)
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Akbar Bathaei,Seyed Mehdi Zahrai 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.82 No.4
Some of the control systems used in engineering structures that use sensors and decision systems have some time delay reducing efficiency of the control system or even might make it unstable. In this research, in addition to considering the effect of the time delay in vibration control process, predictive control is used to compensate the time delay. A semi-active vibration control approach with the help of magneto-rheological dampers is implemented. In addition to using fuzzy inference system to determine the appropriate control voltage for MR damper, structural behavior prediction system and specifying future responses are also used such that the time delays occurring within control process are overcome. For this purpose, determination of prediction horizon is conducted for one, five, and ten steps ahead for single degree of freedom structures with periods ranging from 0.1 to 4 seconds, subjected to twenty earthquake excitations. The amount of time delay applied to the control system is 0.1 seconds. The obtained results indicate that for 0.1 second time delay, average prediction error values compared to the case without time delay is 3.47 percent. Having 0.1 second time delay in a semi-active control system reduces its efficiency by 11.46 percent; while after providing the control system with structure behavior prediction, the difference in the results for the control system without time delay is just 1.35 percent on average; indicating a 10.11 percent performance improvement for the control system.
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종속형 퍼지 뉴럴 네트워크를 이용한 네트워크 제어시스템의 시간 지연 예측
이철균,한창욱 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.3
In networked control systems, time-varying delay of the transmitting signal is inevitable. If the transmission delay islonger than the fixed sampling time, the system will be unstable. To solve this problem, this paper proposes the methodto predict the delay using logic-based fuzzy neural networks, and the predicted time delay will be used as a samplingtime in the networked control systems. To verify the effectiveness of the proposed method, the delay data collected fromthe real system are used to train and test the logic-based fuzzy neural networks. 네트워크 제어 시스템에서는 송신 신호의 시간 변동 지연이 불가피하다. 전송 지연이 고정된 샘플링 시간보다 길면 시스템이 불안정해진다. 이 문제를 해결하기 위해 본 논문은 논리 기반의 퍼지 신경망을 이용하여 지연을 예측하는 방법을 제안하며, 예측된 시간 지연은 네트워크 제어 시스템의 샘플링 시간으로 사용된다. 제안된 방법의 효과를 검증하기 위해, 실제 시스템에서 수집된 지연 데이터를 사용하여 논리 기반 퍼지 신경 네트워크를 훈련하고 테스트한다.
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네트워크 시간지연을 가지는 Steer-by-wire 시스템의 시간지연 보상기 설계
진성태,최진철,이우택 제어로봇시스템학회 2008 제어로봇시스템학회 국내학술대회 논문집 Vol.2008 No.10
This paper presents a compensation algorithm for network time-delay in a networked Steer-By-Wire(SBW) system. A SBW system requires a precise and stable position control for the road wheel motor in accordance with the reference angle which is transferred from the steering wheel through the control network. The network time-delay is unavoidable because several devices share the network in the SBW system. the presence of time-delay deteriorates the control performance or enen causes the instability of the system. To reduce the effects of delay, a compensation algorithm is needed in the control system. The proposed compensation algorithm consists fo fuzzy logic estimator, is which can predict the time-delay, and compensator, which modulates output of main controller. The simulation results verify the feasibility of developed algorithm to improve the system performance.
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Fuzzy Time Delay Algorithms for Position Control of Soft Robot Actuated by Shape Memory Alloy
Junfeng Li,Yunyao Pi 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.6
Due to the nonlinear saturated hysteretic behavior of SMA during the phase transformation, it is not easy to achieve accurate position tracking control by establishing an effective controller for the SMA actuator system. In this paper, an accurate position control method based on fuzzy time delay algorithms for a soft robot is proposed. The error of TDE is unavoidable because the smallest value for the time delay is the sampling time of the microcontroller, a rule-based fuzzy logic controller for online gain tuning combined with TDC is proposed to eliminate the position control errors. Three different sets of experiments are conducted, using step, sine and ramp signals as reference inputs. The experimental results demonstrate that the proposed method has the smallest steady state error and the least overshoot than TDE and PI controller. In conclusion, the proposed method should be a viable alternative for position control of SMA actuator.
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