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- 저자 : Somsin Thongkrairat (검색결과 2 건)
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Dynamic set point feedback control using steady state detection
Somsin Thongkrairat,Boonchana Purahong,Vanvisa Chutchavong 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
There are various of feedback control model such as PID, Fuzzy control. The purpose of feedback control model is to find best way to process output or feedback signal to be the input signal for control the system according to set point or input demand. Normally the set point has been given from outside of system or be fixed to constant it means there are other subsystem assign set point. The paper is research about how to change the set point using only feedback value for convenient purpose. We research about processing of feedback value to know when the system wants to change the set point. We designed algorithm to analyse feedback value about steady state for decide changing set point and implement this method in the real hardware by PID speed control using encoder and microcontroller for run our algorithm. At last we record statistic from microcontroller and analyses the result.
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Buffer Technique for Reduce Overlap Short Time Fourier Transform Complexity
Somsin Thongkrairat,Boonchana Purahong,Vanvisa Chutchavong 대한전자공학회 2017 대한전자공학회 학술대회 Vol.2017 No.1
Fast Fourier Transform (FFT) is a popular algorithm to convert data in the original domain to frequency domain. In several DSP application it used to convert continues segment of data call short-time Fourier transform (STFT) such as spectrogram oscilloscope. To compute FFT using radix-2 algorithm it take O(nlogn) complexity when n is sampling size for STFT in typical method it use radix-2 algorithm to compute each segment of data make it take O(Tnlogn) when T is time or segment number to calculate. To smooth and comprehensive of the output segment of input data have to divide with some overlap data. With the overlap data in calculating process of radix-2 FFT algorithm it produce some redundant data that can use for next calculation. This paper presents a method to reduce complexity of STFT with overlapped data in the segment. Purpose method can reduce complexity of STFT from O(Tnlogn) to minimum O(Tlogn) in case of sliding frame is 1 sampling.
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