• Title/Summary/Keyword: Tracking Mode

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Two-mode tracking system control of PV generation for efficiency improvement (태양광 발전의 효율 향상을 위한 이중모드 추적 시스템 제어)

  • Jang, Mi-Geum;Ko, Jae-Sub;Choi, Jung-Sik;Baek, Jung-Woo;Kang, Sung-Joon;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1082_1083
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    • 2009
  • This paper proposes two-mode tracking system control algorithm to improve efficiency of PV system. Two-mode control algorithm tracks sun position using sensor method and program method with insolation condition. Also, in this case that insolation is very low, tracking system is controlled by environment mode to reduce the power loss. Proposed algorithm is applied the PV system and analyzes the generation value. And this algorithm proves the validity of this paper through the experimental result.

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A Fuzzy Adaptive Sliding Mode Controller for Tracking Control of Robotic Manipulators (로봇 매니퓰레이터의 추적 제어를 위한 퍼지 적응 슬라이딩 모드 제어기)

  • Le, Tien Dung;Kang, Hee-Jun
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.6
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    • pp.555-561
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    • 2012
  • This paper describes the design of a fuzzy adaptive sliding mode controller for tracking control of robotic manipulators. The proposed controller incorporates a modified traditional sliding mode controller to drive the system state to a sliding surface and then keep the system state on this surface, and a fuzzy logic controller to accelerate the reaching phase. The stability of the control system is ensured by using Lyapunov theory. To verify the effectiveness of the proposed controller, computer simulation is conducted for a five-bar planar robotic manipulator. The simulation results show that the proposed controller can improve the reaching time and eliminate chattering of the control system at the same time.

Adaptive Approaches on the Sliding Mode Control of Robot Manipulators

  • Park, Jae-Sam;Han, Gueon-San;Ahn, Hyun-Sik;Kim, Do-Hyun
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.1
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    • pp.15-20
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    • 2001
  • In this paper, adaptive algorithms on the sliding model control for robust tracking control of robust manipulators are presented. The presented algorithms use adaption laws for tuning both the sliding mode gain and the thickness of the boundary layer to reject a disconitnuous control input, and to improve the tracking performance. It is shown that the robustness of the developed adaptive algorithms are guaranteed by the sliding mode control law and that the algorithms are globally convergent in the presence of disturbances and modeling uncertainties. Computer simulations are performed for a two-link manipulator, and the results show good properties of the proposed adaptive algorithms under large mainpulator parameter uncertainties and disturbances.

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Design of a Fuzzy-Sliding Mode Controller for a SCARA Robot to Reduce Chattering

  • Go, Seok-Jo;Lee, Min-Cheol
    • Journal of Mechanical Science and Technology
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    • v.15 no.3
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    • pp.339-350
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    • 2001
  • To overcome problems in tracking error related to the unmodeled dynamics in the high speed operation of industrial robots, many researchers have used sliding mode control, which is robust against parameter variations and payload changes. However, these algorithms cannot reduce the inherent chattering which is caused by excessive switching inputs around the sliding surface. This study proposes a fuzzy-sliding mode control algorithm to reduce the chattering of the sliding mode control by fuzzy rules within a pre-determined dead zone. Trajectory tracking simulations and experiments show that chattering can be reduced prominently by the fuzzy-sliding mode control algorithm compared to a sliding mode control with two dead zones, and the proposed control algorithm is robust to changes in payload. The proposed control algorithm is implemented to the SCARA (selected compliance articulated robot assembly) robot using a DSP (digital signal processor) for high speed calculations.

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Robust posture stabilization of two-wheeled mobile robots (두바퀴 구동형 이동로봇의 강인 자세 안정화)

  • Chwa, Dongk-Young
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.947-948
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    • 2006
  • This paper proposes a robust posture stabilization control method for wheeled mobile robots. To solve the robust posture stabilization, we introduce reference generation mode, reference tracking mode, and reference regulation mode. In reference generation mode, a kinematic time-invariant controller is used to generate the reference trajectory which starts from the initial posture of the actual robot to the desired posture. In reference tracking mode, a sliding mode position controller is employed in such a way that the actual robot can follow the reference trajectory in the desired forward or backward moving direction, even in the presence of the disturbances in the dynamics. In reference regulation mode, a sliding mode heading direction controller is used such that the actual robot can maintain the desired posture against the disturbances. In this way, robust posture stabilization can be achieved at almost all global regions.

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A Modified Perturb and Observe Sliding Mode Maximum Power Point Tracking Method for Photovoltaic System uUnder Partially Shaded Conditions

  • Hahm, Jehun;Kim, Euntai;Lee, Heejin;Yoon, Changyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.281-292
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    • 2016
  • The proposed scheme is based on the modified perturb and observe (P&O) algorithm combined with the sliding mode technique. A modified P&O algorithm based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. Under partially shaded conditions and temperature, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of MPPT is particularly important. Conventional techniques are easy to implement but produce oscillations at MPP. The proposed method is applied to a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under non-uniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. The modified perturb and observe sliding mode controller successfully overcomes the issues presented by non-uniform conditions and tracks the global MPP. Compared to MPPT techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state, and provides more precise tracking.

Disturbance Observer- Based Sliding Mode Control for the Precise Mechanical System with the Bristle Friction Model

  • Han, Seong-Ik
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.5
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    • pp.5-14
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    • 2003
  • Tracking control schemes on the precise mechanical system in presence of nonlinear dynamic friction is proposed. A nonlinear dynamic friction is regarded as the bristle friction model to compensate fer effects of friction. The conventional SMC method often shows poor tracking performance in high-precision position tracking application since it cannot completely compensate for the friction effect below a certain precision level. Thus to improve the precise position tracking performance, we propose the SMC method combined with the disturbance observer having tunable transient performance. Then this control scheme has the high precise tracking peformance as well as a good transient response when it is compared with the conventional SMC method and the similar types of observers, The experiment on the XY ball-screw drive system with the nonlinear dynamic friction confirms the feasibility of the proposed control scheme.

The development of generating reference trajectory algorithm for robot manipulator (로봇 제어를 위한 변형 기준 경로 발생 알고리즘의 개발)

  • 민경원;이종수;최경삼
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.912-915
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    • 1996
  • The computed-torque method (CTM) shows good trajectory tracking performance in controlling robot manipulator if there is no disturbance or modelling errors. But with the increase of a payload or the disturbance of a manipulator, the tracking errors become large. So there have been many researches to reduce the tracking error. In this paper, we propose a new control algorithm based on the CTM that decreases a tracking error by generating new reference trajectory to the controller. In this algorithm we used the concept of sliding mode theory and fuzzy system to reduce chattering in control input. For the numerical simulation, we used a 2-link robot manipulator. To simulate the disturbance due to a modelling uncertainty, we added errors to each elements of the inertia matrix and the nonlinear terms and assumed a payload to the end-effector. In this simulation, proposed method showed better trajectory tracking performance compared with the CTM.

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A Study on Coaxial-Structure Waveguide High-Order Mode Coupler of Ku-Band satellite tracking system for UAV (무인기용 Ku 대역 위성추적 시스템의 동축구조 도파관 고차모드 커플러에 대한 연구)

  • Lee, Jaemoon;Lim, Jaesung;Ga, Deukhyun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.93-99
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    • 2016
  • In this paper, higher order coupler using small size waveguide which applicable for mobile Ku-band multimode monopulse satellite tracking antenna system, has been designed, implemented and tested. Proposed higher order mode coupler adopts a coaxial structure for low profile characteristic considering installation property to mobile satellite terminal system. In addition, by using proposed coupler, extracted tracking error signal pattern has measured and confirmed that required tracking accuracy is satisfied in desired frequency band. In the future, proposed coupler could utilize for multimode monopulse satellite tracking system for high tracking accuracy.

Multi-mode Kernel Weight-based Object Tracking (멀티모드 커널 가중치 기반 객체 추적)

  • Kim, Eun-Sub;Kim, Yong-Goo;Choi, Yoo-Joo
    • Journal of the Korea Computer Graphics Society
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    • v.21 no.4
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    • pp.11-17
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    • 2015
  • As the needs of real-time visual object tracking are increasing in various kinds of application fields such as surveillance, entertainment, etc., kernel-based mean-shift tracking has received more interests. One of major issues in kernel-based mean-shift tracking is to be robust under partial or full occlusion status. This paper presents a real-time mean-shift tracking which is robust in partial occlusion by applying multi-mode local kernel weight. In the proposed method, a kernel is divided into multiple sub-kernels and each sub-kernel has a kernel weight to be determined according to the location of the sub-kernel. The experimental results show that the proposed method is more stable than the previous methods with multi-mode kernels in partial occlusion circumstance.