• 제목/요약/키워드: adaptive simulation

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시변 파라미터 특성을 갖는 유연한 로봇 엑츄에이터의 적응제어 (Adaptive Control of Flexible Robot Actuators with Time-Varying Parameters)

  • 박지호;조현철
    • 전기학회논문지P
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    • 제57권3호
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    • pp.250-254
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    • 2008
  • Robot actuators are significantly important with respect to whole control system performance. This paper presents an adaptive control approach for flexible robot actuators with time-varying spring and damping nature. We first represent a perturbed system model with assumption that its information are partially known. Nominal model reference control method is employed for deriving our adaptive control law. We carry out numerical simulation to evaluate the proposed control system and compare simulation results to a well-known control method for demonstrating its effectiveness.

판정궤환이 있는 복소 LMS 퍼지 적응 등화기 (Complex LMS Fuzzy Adaptive Equalizer with Decision Feedback)

  • 이상연;김재범;이기용;이충웅
    • 한국통신학회논문지
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    • 제21권10호
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    • pp.2579-2585
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    • 1996
  • In this paper, a complex fuzzy adaptive decision feedback equalizer(CFADFE) based on the LMS algorithm is proposed. The propoed equalizer is based on the complex fuzzy adaptive equalizer. The CFADFE isconstructed from a set of changeable complex fuzzy IF-THEN rules, where the 'IF' part of the rule is characterized by the state from a set of changealble complex fuzzy IF-THEN rules, where the 'IF' part of the rule is characterized by the state of the desision feedback. the role of decision feedback is to reduce the computational complexity. Computer simulation of the decision feedback. The role of decision feedback is to reduce the computational complexity. Computer simulation shosw that the CFADFE notonly reduces the computational complexity but also improves the performance compared with the conventional complex fuzzy adaptive equalizers. We also show that the adaptation speed is greatly improved by incorporating some linguistic information about the channel into the equalzer. It is applied to M-ary QAM digital communication system with linear and nonlinear complex channel characteristics.

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다중반송파 CDMA를 사용한 적응형 위성 하향링크 전송 (Adaptive Satellite Downlink transmission using Multicarrier CDMA)

  • 임광재;김수영;이호진
    • 한국통신학회논문지
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    • 제29권10A호
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    • pp.1167-1176
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    • 2004
  • 본 논문에서는 위성 하향 링크에서 강우 감쇄와 음영 페이딩에 대한 적응형 전송을 위한 MC-CDMA(multicarrier CDMA) 방식을 제시하고, Ka 대역 이동위성채널에서 페이딩, 강우 감쇄, 재전송 방식에 따른 적응형 MC-CDMA 하향링크의 성능을 비교 분석하였다. 제시된 하향 링크는 광대역 MC-CDMA 전송을 통해 수십 Mbit/s 처리율과 채널 환경에 따라 약 1 bit/s/Hz에서 4.7 bit/s/Hz의 주파수 효율을 제공할 수 있다.

다중의 협대역 간섭 신호에 대한 AGC Applebaum어레이의 성능 분석 (Performance Analysis of AGC Applebaum Array for Multiple Narrowband Interference)

  • 윤동현;이규만;한동석
    • 한국통신학회논문지
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    • 제25권6B호
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    • pp.1092-1099
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    • 2000
  • An adaptive array system can effectively remove all received interferences by using adaptive algorithms even though the received signal condition is not known. The conventional adaptive array systems, however, cannot remove all interferences adaptively and converge very slowly when the eigenvalue spread of the input covariance matrix is large. In the paper, a new adaptive array system called an automatic gain controller (AGC) Applebaum array and its control algorithm are proposed to overcome the performance degradation of conventional Applebaum array in multiple interference conditions. The performance analysis of the proposed AGC Applebaum array is described under the condition of multiple narrowband interferences. Simulation results show the array output signal-to-noise ratio (SNR) of the AGC Applebaum array increases by 30dB compared to that of the conventional Applebaum array in the simulation condition. The gain of the AGC Applebaum array in the incident direction of a weaker interference is also shown to be lower than that of the conventional Applebaum array.

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Sensorless Vector Control of Induction Motors for Wind Energy Applications Using MRAS and ASO

  • Jeong, Il-Woo;Choi, Won-Shik;Park, Ki-Hyeon
    • Journal of Electrical Engineering and Technology
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    • 제9권3호
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    • pp.873-881
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    • 2014
  • Speed sensorless modes of operation are becoming standard solution in the area of electric drives. This paper presents flux estimator and speed estimator for the speed sensorless vector control of induction motors. The proposed sensorless methods are based on the model reference adaptive system (MRAS) observer and adaptive speed observer (ASO). The proposed speed estimation algorithm can be employed in the power control of grid connected induction generator for wind power applications. Two proposed schemes are verified through computer simulation PSIM and compared their simulation results.

An improved sparsity-aware normalized least-mean-square scheme for underwater communication

  • Anand, Kumar;Prashant Kumar
    • ETRI Journal
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    • 제45권3호
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    • pp.379-393
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    • 2023
  • Underwater communication (UWC) is widely used in coastal surveillance and early warning systems. Precise channel estimation is vital for efficient and reliable UWC. The sparse direct-adaptive filtering algorithms have become popular in UWC. Herein, we present an improved adaptive convex-combination method for the identification of sparse structures using a reweighted normalized leastmean-square (RNLMS) algorithm. Moreover, to make RNLMS algorithm independent of the reweighted l1-norm parameter, a modified sparsity-aware adaptive zero-attracting RNLMS (AZA-RNLMS) algorithm is introduced to ensure accurate modeling. In addition, we present a quantitative analysis of this algorithm to evaluate the convergence speed and accuracy. Furthermore, we derive an excess mean-square-error expression that proves that the AZA-RNLMS algorithm performs better for the harsh underwater channel. The measured data from the experimental channel of SPACE08 is used for simulation, and results are presented to verify the performance of the proposed algorithm. The simulation results confirm that the proposed algorithm for underwater channel estimation performs better than the earlier schemes.

Adaptive Enhancement Method for Robot Sequence Motion Images

  • Yu Zhang;Guan Yang
    • Journal of Information Processing Systems
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    • 제19권3호
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    • pp.370-376
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    • 2023
  • Aiming at the problems of low image enhancement accuracy, long enhancement time and poor image quality in the traditional robot sequence motion image enhancement methods, an adaptive enhancement method for robot sequence motion image is proposed. The feature representation of the image was obtained by Karhunen-Loeve (K-L) transformation, and the nonlinear relationship between the robot joint angle and the image feature was established. The trajectory planning was carried out in the robot joint space to generate the robot sequence motion image, and an adaptive homomorphic filter was constructed to process the noise of the robot sequence motion image. According to the noise processing results, the brightness of robot sequence motion image was enhanced by using the multi-scale Retinex algorithm. The simulation results showed that the proposed method had higher accuracy and consumed shorter time for enhancement of robot sequence motion images. The simulation results showed that the image enhancement accuracy of the proposed method could reach 100%. The proposed method has important research significance and economic value in intelligent monitoring, automatic driving, and military fields.

Smart modified repetitive-control design for nonlinear structure with tuned mass damper

  • ZY Chen;Ruei-Yuan Wang;Yahui Meng;Timothy Chen
    • Steel and Composite Structures
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    • 제46권1호
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    • pp.107-114
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    • 2023
  • A new intelligent adaptive control scheme was proposed that combines observer disturbance-based adaptive control and fuzzy adaptive control for a composite structure with a mass-adjustable damper. The most important advantage is that the control structures do not need to know the uncertainty limits and the interference effect is eliminated. Three adjustable parameters in LMI are used to control the gain of the 2D fuzzy control. Binary performance indices with weighted matrices are constructed to separately evaluate validation and training performance using the revalidation learning function. Determining the appropriate weight matrix balances control and learning efficiency and prevents large gains in control. It is proved that the stability of the control system can be ensured by a linear matrix theory of equality based on Lyapunov's theory. Simulation results show that the multilevel simulation approach combines accuracy with high computational efficiency. The M-TMD system, by slightly reducing critical joint load amplitudes, can significantly improve the overall response of an uncontrolled structure.

CDMA 무선 멀티미디어 통신에서 적응형 섹터 안테나에 의한 오율성능 개선 (Enhancement in BER Performance by Adaptive Sector Antennas in CDMA Wireless Multi-media Communications)

  • 이주형;김영철;오창헌;조성준
    • 한국통신학회논문지
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    • 제27권10A호
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    • pp.980-989
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    • 2002
  • 본 논문에서는 적응력 섹터 안테나(adaptive sector antenna)의 섹터화(sectorization) 방안과 멀티코드와 싱글코드를 사용하는 CDMA 무선 멀티미디어(multi-media) 통신을 위한 새로운 수신기 구조를 제안하였다. 제안한 섹터화 방안에 따른 적응형 섹터 안테나의 섹터화와 평균오율 성능을 시뮬레이션을 통해 구하였다. 시뮬레이션 결과, 섹터 크기가 부하의 분포에 따라 적절히 조절되었으며 평균오율 성능이 고정 섹터 안테나에 비해 훨씬 개선되는 것을 확인할 수 있었다. 또한 CDMA 무선 멀티미디어 시스템에서 멀티코드 신호를 검파하는 위치에 따라 두가지 형태의 수신기 구조를 제안하였다. 각 수신기는 두 개의 적응형 섹터 안테나와 간단한 간섭제거 구조를 가지고 있는데 각 수신기의 적응형 섹터 안테나를 각각 제 1 적응형 섹터 안테나와 제 2 적응형 섹터 안테나로 명명하였다. 본 논문에서는 제안한 수신기의 평균오율 성능을 시뮬레이션하여 비교하였다. 그 결과, 멀티코드 신호를 검파하는 위치가 모든 사용자의 오율성능에 큰 영향을 미치는 것을 알 수 있었으며, 멀티코드 신호와 싱글코드 신호의 목표오율 성능과 시스템 복잡도를 함께 고려할 때, 1차와 2차 적응형 섹터 안테나에서 멀티코드 신호를 검파하는 수신기가 CDMA 무선 멀티미디어 통신시스템에 적합할 것으로 판단된다.

Intelligent adaptive controller for a process control

  • Kim, Jin-Hwan;Lee, Bong-Guk;Huh, Uk-Youl
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.378-384
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    • 1993
  • In this paper, an intelligent adaptive controller is proposed for the process with unmodelled dynamics. The intelligent adaptive controller consists of the numeric adaptive controller and the intelligent tuning part. The continuous scheme is used for the numeric adaptive controller to avoid the problems occurred in the discrete time schemes. The adaptive controller is adopted to the process with time delay. It is an implicit adaptive algorithm based on GMV using the emulator. The tuning part changes the design parameters in the control algorithm. It is a multilayer neural network trained by robustness analysis data. The proposed method can improve the robustness of the adaptive control system because the design parameters are tuned according to the operating points of the process. Through the simulation, robustnesses are shown for intelligent adaptive controller. Finally, the proposed algorithms are implemented on the electric furnace temperature control system. The effectiveness of the proposed algorithm is shown from experiments.

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