• 제목/요약/키워드: DSP-based digital control systems

검색결과 47건 처리시간 0.023초

Synthesis and Experimental Implementation of DSP Based Backstepping Control of Positioning Systems

  • Chang, Jie;Tan, Yaolong
    • Journal of Power Electronics
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    • 제7권1호
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    • pp.1-12
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    • 2007
  • Novel nonlinear backstepping control with integrated adaptive control function is developed for high-performance positioning control systems. The proposed schemes are synthesized by a systematic approach and implemented based on a modern low-cost DSP controller, TMS320C32. A baseline backstepping control scheme is derived first, and is then extended to include a nonlinear adaptive control against the system parameter changes and load variations. The backstepping control utilizes Lyapunov function to guarantee the convergence of the position tracking error. The final control algorithm is a convenient in the implementation of a practical 32-bit DSP controller. The new control system can achieve superior performance over the conventional nested PI controllers, with improved position tracking, control bandwidth, and robustness against external disturbances, which is demonstrated by experimental results.

디지털 필터링을 이용한 무효전력 제어에 관한 연구 (A Study on a Reactive Power Control using Digital Filtering)

  • 우천희;강신준;이덕규;우광방;이성환
    • 제어로봇시스템학회논문지
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    • 제4권4호
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    • pp.517-524
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    • 1998
  • This paper discusses the development of a reactive power controller using digital signal processing. Digital Signal Processing is the technique of using digital devices to Process continuous signals or data, often in real-time. And DSP algorithms are associated with a discrete time interval between input samples. When one designs a digital filter, one can use a Laplace transform to determine the continuous time frequency response. The corresponding discrete time transform is called Z transform and depends upon discrete samples of the input spaced equally in time. The objectives of this paper are to minimize real power losses and improve the power factor of a given system. Also, the implementation of a direct-form non recursive filter on the TMS320C31 has been described. The application of this microprocessor-based controller using DSP on test system reveals its numerous advantages. Performance and features of the controller for the reactive power control are analyzed.

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DSP를 이용한 원격 로봇의 제어 시스템 구현 (Implementation of a control system for a telerobot using DSP)

  • 노철래;정명진
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.844-849
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    • 1991
  • A high speed control system for a telerobot using DSP is developed. The system is designed to resolve computational burden in advanced algorithms. The design is assumed to h ave no specific algorithm and robot configuration. The system is composed of a teaching box, a DSP board, a set of servo drivers and 16 bit microcomputer system. The teaching box is designed as a man-machine interface, which has two joysticks with three degrees of freedom for velocity generation in Cartesian space. The DSP board, i.e. DSP56000ADS based on a 10.25MIPS digital signal processor, DSP56001, computes the inverse Jacobian matrix which transforms Cartesian velocity into joint velocity. A resolved motion rate control algorithm for a 5 degrees of freedom manipulator was implemented. About 100 Hz sampling rate was achieved in this system.

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Real-Time Implementation of Brain Emotional Learning Developed for Digital Signal Processor-Based Interior Permanent Magnet Synchronous Motor Drive Systems

  • Sadeghi, Mohamad-Ali;Daryabeigi, Ehsan
    • Journal of Power Electronics
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    • 제14권1호
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    • pp.74-81
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    • 2014
  • In this study, a brain emotional learning-based intelligent controller (BELBIC) is developed for the speed control of an interior permanent magnet synchronous motor (IPMSM). A novel and simple model of the IPMSM drive structure is established with the intelligent control system, which controls motor speed accurately without the use of any conventional PI controllers and is independent of motor parameters. This study is conducted in both real time and simulation with a new control plant for a laboratory 3 ph, 3.8 Nm IPMSM digital signal processor (DSP)-based drive system. This DSP-based drive system is then compared with conventional BELBIC and an optimized conventional PI controller. Results show that the proposed method performs better than the other controllers and exhibits excellent control characteristics, such as fast response, simple implementation, and robustness with respect to disturbances and manufacturing imperfections.

고속 프로그램형 논리 제어기 구현을 위한 래더 다이어그램 해석 방법 (A Translation Method of Ladder Diagram for High-Speed Programmable Logic Controller)

  • 김형석;장래혁;권욱현
    • 제어로봇시스템학회논문지
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    • 제5권1호
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    • pp.33-38
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    • 1999
  • This paper proposes a translation approach for PLCs (Programmable logic controllers) converting ladder diagrams directly to native codes, and describes detailed steps of the method followed by performance evaluation. A general-purpose DSP (Digital signal processor) based implementation validates the approach as well. A benchmark test shows that the Proposed translation framework fairly speeds up execution in comparison with the existing interpretation approach.

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Digital control of active magnetic bearing using digital signal processor

  • Shimomachi, T.;Ishimatsu, T.;Taguchi, N.;Fukata, S.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.760-765
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    • 1989
  • Digital control laws are implemented on an active magnetic bearing system with DSP. The results of tests using a experimental apparatus are (1) in a case that conventional PID, PIDD2 controls are employed, implemention of digital control law has similar characteristics to that of analogue control law. (2)The experiments reveal the results that the dynamic compensation based on the observer may be better than that of the other conventional controllers.

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Implementation of an Adaptive Robust Neural Network Based Motion Controller for Position Tracking of AC Servo Drives

  • Kim, Won-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권4호
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    • pp.294-300
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    • 2009
  • The neural network with radial basis function is introduced for position tracking control of AC servo drive with the existence of system uncertainties. An adaptive robust term is applied to overcome the external disturbances. The proposed controller is implemented on a high performance digital signal processing DSP TMS320C6713-300. The stability and the convergence of the system are proved by Lyapunov theory. The validity and robustness of the controller are verified through simulation and experimental results

DSP(TMS320C50) 칩을 사용한 산업용 로봇의 적응-신경제어기의 실현 (Implementation of the Adaptive-Neuro Controller of Industrial Robot Using DSP(TMS320C50) Chip)

  • 김용태;정동연;한성현
    • 한국공작기계학회논문집
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    • 제10권2호
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    • pp.38-47
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    • 2001
  • In this paper, a new scheme of adaptive-neuro control system is presented to implement real-time control of robot manipulator using Digital Signal Processors. Digital signal processors, DSPs, are micro-processors that are particularly developed for fast numerical computations involving sums and products of measured variables, thus it can be programmed and executed through DSPs. In addition, DSPs are as fast in computation as most 32-bit micro-processors and yet at a fraction of therir prices. These features make DSPs a viable computational tool in digital implementation of sophisticated controllers. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust perfor-mance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method.The proposed adaptive-neuro control scheme is illustrated to be a efficient control scheme for the implementation of real-time control of robot system by the simulation and experi-ment.

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DSP를 이용한 차량용 레이다 수평안정화장치 구동 전략 (A Control Strategy of Auto-Leveling System for Vehicle Platform based on DSP)

  • 한별;장유신;이성용
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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    • pp.507-509
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    • 2023
  • 본 논문에서는 DSP (Digital Signal Processing)를 이용한 차량용 레이다 수평안정화장치 구동 전략을 제안한다. 지대공 유도 미사일용 차량용 레이다는 전방향으로 일정 속도로 회전하며 감시정찰 임무를 수행한다. 수평안정화장치는 4세트의 수평구동모듈을 이용하여 차량 플랫폼의 수평을 유지하여 레이다의 안정적인 회전을 가능하게 한다. 이를 실시간으로 구현하기 위해 임베디드시스템인 DSP를 적용하여 경사도를 측정하고, 구동모듈에 구동 명령을 인가하여 수평을 유지한다. 수평구동모터는 감속기를 통하여 모터 토크를 증가시켜 수평 안정 동작을 수행한다. 본 논문에서는 수평구동모듈 1세트를 모델링하여 수평안정화장치를 축소 구현한다. 제안하는 구동 전략의 유효성은 시뮬레이션으로 입증한다.

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USB 플래시 드라이브를 이용한 DSP 펌웨어 업데이트 (DSP Firmware Update Using USB Flash Drive)

  • 김진순;최준영
    • 대한임베디드공학회논문지
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    • 제18권1호
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    • pp.25-30
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    • 2023
  • We propose a method to update DSP (Digital Signal Processor) firmware using USB (Universal Serial Bus) flash drives. The DSP automatically detects USB drives based on an interrupt when the USB drive is inserted into the USB port. The new firmware binary file is found in the mounted USB drive, and the destination address of DSP flash memory is identified for the firmware update writing by investigating the firmware file header. After the new firmware is written to the DSP flash memory, the DSP is reset and rebooted with the newly updated firmware. By employing TI's TMS320F28379D control card with USB ports, we conduct experiments and verify the normal operation of the implemented method.