• The Transactions of the Korean Institute of Power Electronics
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• v.3 no.3
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• pp.173-183
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• 1998

In this paper, an auto-tuning method for fuzzy controller's membership functions based on the neural network is presented. The neural network emulator offers the path which reforms the fuzzy controller's membership functions and fuzzy rule, and the reformed fuzzy controller uses for speed control of induction motor. Thus, in the case of motor parameter variation, the proposed method is superior to a conventional method in the respect of operation time and system performance. 32bit micro-processor DSP(TMS320C31) is used to achieve the high speed calculation of the space voltage vector PWM and to build the self-learning fuzzy control algorithm. Through computer simulation and experimental results, it is confirmed that the proposed method can provide more improved control performance than that PI controller and conventional fuzzy controller.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.6
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• pp.96-103
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• 2006

An MRAC-based adaptive current control scheme of an AC servo motor is presented for the performance improvement of a servo drive. Although the predictive current control is known to give ideal transient and steady-state responses, its steady-state response my be degraded under motor parameter variations. To overcome such a limitation, the disturbances caused by the parameter variations will be estimated by using an MRAC technique and compensated by a feedforward control. The proposed scheme does not require the measurement of the phase voltage unlike the conventional disturbance estimation scheme using observer. The asymptotic stability is proved. The proposed scheme is implemented using DSP TMS320C31 and the effectiveness is verified through the comparative simulations and experiments.

• The Transactions of the Korean Institute of Power Electronics
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• v.11 no.4
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• pp.313-320
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• 2006

In this paper, a design approach of LC trap filter for output side harmonic reduction of single phase NPC multilevel inverter is proposed, and THD of the output voltage and harmonic FFT of the output current are analyzed. The proposed filter consists of a conventional LCR filter cascaded with an LC trap filter and it is tuned to inverter switching frequency. A NPC multilevel inverter inverter is used an inverter system for high power application and DSP(TMS320C31) is used for the controller. The effectiveness of the proposed system confirmed through simulation and experimental results.

• The Transactions of the Korean Institute of Power Electronics
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• v.11 no.2
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• pp.135-141
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• 2006

In this paper, LC output filters are designed to reduce output harmonics and harmonic analysis are peformed. Generally, multilevel inverters are used in high power application and operates with low switching frequency, which, in turn, generates large output harmonics. Output filters we used to reduce output harmonics. The design approach to reduce output harmonics of the 31eve1 multilevel inverter is discussed and DSP(TMS320C31) is used for the digital control of the system. The design example is given. The designed system is verified by simulation and experiment.

• Journal of Korea Multimedia Society
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• v.7 no.12
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• pp.1650-1656
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• 2004

In this paper, a multi-adaptive filter is proposed for removing EOG and the 60 Hz power supply noise from EEG measured in the frontal lobe and the feedback output control method is implemented for biofeedback. The multi-adaptive filter has been implemented on the TMS320C6711 DSP system and the feedback output control algorithm has been realized by calculating the ratio of alpha wave on the TMS320C31 DSP system with real time performance. Through the experiment using the implemented multi-adaptive filter and feedback output controller, we demonstrate that the proposed adaptive filter effectively removes EOG and the 60 Hz power supply noise from the measured EEG in the frontal lobe and the feedback algorithm controls the level of stimulation by the ratio of the alpha wave.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.939-942
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• 2000

본 논문에서는 차량 충돌 방지 시스템으로 많이 사용되고 있는 밀리미터파를 이용한 FMCW(Frequency Modulated Continuous Wave) 레이더의 신호 처리부를 분석 및 설계하였고, 설계한 레이더의 파라미터 값들을 이용하여 선행 차량의 거리와 속도 정보를 검출하는 신호 처리 과정을 시뮬레이션 해 보았다. 최종적으로 FMCW 레이더의 신호 처리부를 TI사의 TMS320C31 DSP을 이용하여 하드웨어로 구현하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.11a
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• pp.95-99
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• 1997

본 논문에서는 TI사의 범용 DSP인 TMS320C31을 이용하여 48KHz의 표본화주파수를 지원하고 20비트의 해상도를 갖는 방송용 디지털 오디오 믹서 시스템을 구현하였다. 전체 시스템은 4부분의 모듈로 구성된다. 아날로그 및 AES/EBU 디지털 포맷의 오디오 데이터를 입력받는 입력 모듈과 믹싱을 위한 믹싱 모듈, 처리된 데이터를 아날로그 및 디지털 포맷으로 출력하는 출력 모듈, 그리고 전체 시스템을 제어하는 제어 모듈로 구성된다.

• Proceedings of the KAIS Fall Conference
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• 2000.10a
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• pp.203-207
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• 2000

최근 신호 처리 분야에서 많은 연구가 되고 있는 웨이브렛 변환을 적용하고, DSP(Digital Signal Processor)인 TMS320C31을 사용하여 고속 처리 가능한 하드웨어를 구현하였다. 그리고, 컴퓨터하고 일정한 통신 대역을 유지하고 다른 장치에 영향을 주지 안기 위해서 ISA 버스를 사용하였다. 여기서는 웨이브렛 변환과 푸리에 변환의 차이 및 필터뱅크에 대해서 알아보고, DSP를 이용하여 웨이브렛 변환을 시키는 하드웨어를 구현했다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.3
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• pp.304-315
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• 2001

In this paper, we peformed the real-time implementation of AMR(Adaptive Multi-Rate) speech coding algorithm which is adopted for IMT-2000 service using TMS320C6201, i.e., a Texas Instrument´s fixed-point DSP. With the ANSI C source code released from ETSI, optimization is performed to make it run in real-time with memory as small as possible using the C compiler and assembly language. Implemented AMR speech codec has the size of 32.06 kWords program memory, 9.75 kWords data RAM memory, and 19.89 kWords data ROM memory. And, The time required for processing one frame of 20 ms length speech data is about 4.38 ms, and it is short enough for real-time operation. It is verified that the decoded result of the implemented speech codec on the DSP is identical with the PC simulation result using ANSI C code for test sequences. Also, actual sound input/output test using microphone and speaker demonstrates its proper real-time operation without distortions or delays.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.52 no.12
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• pp.608-615
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• 2003

This paper describes an implementation of a DSP (Digital Signal Processor) controlled random carrier frequency modulation for the PWM inverter for acoustic noise reduction of induction motors. Real-time generation of the random variable and RPWM(Random PWM) along with the speed control was achieved by DSP TMS320C31. The experimental results show that the voltage and current harmonics are spread to a wide band area and the power spectrum of the acoustic switching noise was spread to create a more appealing, less annoying sound. Also, the speed response of the implemented method and the conventional method is nearly similar to each other from the viewpoint of the v/f constant control.