Wavelet based denoising technique for liquid level system

Paul, Rimi; Sengupta, Anindita; Pathak, Rajeev Ranjan

doi:10.1016/j.measurement.2013.02.004

Cited by 35 publications

(19 citation statements)

References 19 publications

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“…The existing laboratory scale liquid level system (LLS) consists of a reservoir, process tank, constant speed motor pump, valve with actuator and differential pressure transmitter (DPT) [2].…”

Section: Liquid Level Systemmentioning

confidence: 99%

“…Most of the process industries such as food processing, chemical production, petroleum and petro-chemical industry, water and waste water treatment plants are involved with liquids [1][2][3]. The control of liquid level in tanks and flow between tanks is a basic problem in the process industries.…”

Section: Introductionmentioning

confidence: 99%

“…Another application of this controller is stated in [11] for speed control of micro permanent magnet synchronous drive. It is seen in [2], the high frequency noise is available from detailed level of DWT. But in case of DWT, both noise and important information are available from detailed level.…”

Section: Introductionmentioning

confidence: 99%

“…The key idea underlying the construction of wavelet packet analysis (WPA) with various wavelet basis sets is elaborated in [16]. Paul et al also applied these features of wavelet packer transform to de noise a signal in [2] and compared the performances of DWPT to the DWT. It is seen that the performance of wavelet packet is appreciable while comparing with the discrete wavelet transform decomposition technique since wavelet packet analysis [17] can provide more precise frequency resolution than the wavelet analysis.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Discrete wavelet packet transform based controller for liquid level system and its performance analysis

Paul

Sengupta

2017

Measurement

Self Cite

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Section: Liquid Level Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Discrete wavelet packet transform based controller for liquid level system and its performance analysis

Paul

Sengupta

2017

Measurement

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“…Transfer function of such a system can be modelled as a first order plant and can be expressed as H (s) The laboratory based liquid level system has been modeled [14] by autoregressive exogenous (ARX) method using "MATLAB System Identification Tool", a GUI based approach considering actual input output datasets. The Transfer Function of the identified model of LLS is given by:…”

Section: Process Descriptionmentioning

confidence: 99%

Repetitive controller: an advanced servomechanism for periodic reference input

Mondal¹,

Sengupta

Roy

2015

Int. J. Dynam. Control

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The presented work envisaged to explore the possibility of implementing a repetitive control strategy along with a proportional (P) controller for a liquid level system (LLS) in real time to track a periodic reference command. The objective of this paper is to validate the servo mechanism (accurate tracking) and periodic disturbance attenuating property of repetitive control (RC) along with P control system. The whole effort is divided in to two distinct parts. In the first part, the controller and plant are modeled, developed and experimented in software. The tracking performance and stability measure of the plant has been studied with inclusion of repetitive controller (RC) in presence of P controller and compared with conventional P and PI controller in both time and frequency domain subjected to periodic command to establish the usefulness of the RC-P control using simulation. The limitation of the first part is due to the consideration of all ideal condition of experimentation like ideal source, ideal plant etc. In the second part of this work the limitation of the first part of taking all ideal condition is avoided through the development of a real time experimentation setup. In this section, software model of LLS is replaced by its analogous electrical circuit. Emulation of the actual hardware plant is carried out interfaced through DAC NI6221 with PC using LabVIEW for better and flexible experimenting environment.Controller In Loop is done to conduct all experiments with actual source of reference and actual hardware plant. The effectiveness of RC with P controller for periodic reference input is shown through simulation and validated through real time experimentation. KeywordsLiquid level system · Repetitive controller · Repetitive proportional controller · Data acquisition card · Controller in loop List of symbols H (s) Head of water level Q i (s) liquid in flow rate in Laplace domain G lls Transfer function of LLS R Resistance of output valve of the process C Capacitance of tank = cross section area of tank τ = RC time constant of the system Y (s) Output in Laplace domain U (s) Input in Laplace domain T d Associated time delay k P System gain u(t) = A sin(ωt) Sinusoidal input y(t) = B sin(ωt + φ) Output A Amplitude of the input sinusoid B

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Noise reduction and characteristic analysis of fluid signal in the jet impact‐negative pressure deamination reactor based on wavelet transform

Huang,

Zhang,

Xie

et al. 2023

Asia-Pacific J Chem Eng

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The jet impact‐negative pressure deamination reactor (JI‐NPDR) is a new type of continuous and efficient deamination equipment. The study of the random flow pattern of porous jet impingement in the reactor under negative pressure conditions is an important issue. In this work, the signal processing method based on wavelet transform is used to analyze the characteristics of random flow signals in the reactor. Meanwhile, an analog similar signal is built and three sets of Gaussian white noise with various signal‐to‐noise ratios are employed via the MATLAB platform. Based on the adjustment of threshold function, threshold, decomposition level and other parameters of wavelet transform, the noise ratio (SNR) and mean squared error (MSE) are used to evaluate the wavelet denoising effect. And then, the optimal denoising scheme for the obtained signal will be applied in processing the vacuum flow signal collected inside the deamination reactor. Subsequently, the 8‐layer wavelet decomposition is investigated by using sym7 as the wavelet basis, soft threshold function, and heursure threshold for signal denoising. Then, the analog signal is fed back through the results of the actual signal denoising, and the number of wavelet decomposition layers is adjusted from 8 to 9 layers to optimize the original wavelet denoising combination. By analyzing the low‐frequency and high‐frequency parts of the signal spectrum before and after denoising, it was found that wavelet transform can effectively denoise the fluid signal in the reactor.

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Wavelet based denoising technique for liquid level system

Cited by 35 publications

References 19 publications

Discrete wavelet packet transform based controller for liquid level system and its performance analysis

Discrete wavelet packet transform based controller for liquid level system and its performance analysis

Repetitive controller: an advanced servomechanism for periodic reference input

Noise reduction and characteristic analysis of fluid signal in the jet impact‐negative pressure deamination reactor based on wavelet transform

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