Title: Design and implementation of filter in the control system of the high accuracy micro-displacement platform

Authors: Jing Dai; Jing Shen; Meng Shao; Xilin Bai

Addresses: Faculty of Information and Control Engineering, Shenyang Jianzhu University, 110168, Shenyang, Liaoning Province, China ' Faculty of Information and Control Engineering, Shenyang Jianzhu University, 110168, Shenyang, Liaoning Province, China ' School of Mechanical Engineering, Dalian University of Technology, 116024, Dalian, Liaoning Province, China; Faculty of Transportation and Mechanical Engineering, Shenyang Jianzhu University, 110168, Shenyang, Liaoning Province, China ' Department of Electrical Engineering, State University of New York (SUNY) at Buffalo, Buffalo, NY 14260, USA

Abstract: In order to weaken the noise of the mechanical system of the high accuracy micro-displacement platform and the noise of the control system, the low pass and notch filters were designed for filtering noises. The more simple method of filter design was adopted in this paper. Namely, the real time data exchange modules between LabVIEW program and DSP chip program were used for testing and analysing the filtering performance of FIR filter. Then the filter parameters were determined and filters were implemented in the DSP chip. The results of experiment showed that the tap number of low pass filter with hamming window should be 100 and that tap number of notch filter with Hamming window should be 121. Thus, a low pass filter with 700 Hz cut-off frequency and a notch filter with 300 Hz centre frequency and 100 Hz bandwidth were implemented in the DSP chip. The signal-to-noise ratio (SNR) of output signal in the system could be improved about 26 dB. The program filters in DSP chip could make reasonable use of system resources. Meanwhile, with the help of LabVIEW program, the program of filter algorithm in the DSP chip was simplified and the development cycle was shortened.

Keywords: FIR filters; finite impulse response; LabVIEW; DSP; micro-displacement platforms; real time data exchange; RTDX; filter design; control systems; noise filters; signal-to-noise ratio; SNR.

DOI: 10.1504/IJMIC.2014.059396

International Journal of Modelling, Identification and Control, 2014 Vol.21 No.1, pp.82 - 92

Published online: 07 Jun 2014 *

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