Related Experiment Video
Updated: Aug 10, 2025
05:11
High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
Published on: June 27, 2025
141
Correction of Dynamical Properties of Data Acquisition Systems
Jarosław Figwer1, Małgorzata I Michalczyk1
1Department of Measurements and Control, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.
Sensors (Basel, Switzerland)
|February 11, 2023
Summary
This study introduces a supplementary discrete-time filter to enhance data acquisition systems, significantly improving measurement speed and accuracy. The method corrects dynamical properties, leading to substantial improvements in measurement quality.
Area of Science:
- Engineering
- Signal Processing
- Measurement Science
Background:
- Accurate and fast measurements are critical in engineering and research.
- Existing data acquisition systems can be limited by delays and dynamical properties.
- Improving measurement efficiency is a constant challenge.
Purpose of the Study:
- To propose a novel method for enhancing data acquisition systems.
- To reduce measurement time and improve accuracy.
- To introduce supplementary discrete-time filters for dynamical property correction.
Main Methods:
- Development of a supplementary discrete-time filter.
- Identification of the filter using classical estimation methods based on a dynamical model.
- Minimization of a cost function dependent on the measurement environment.
- Simulation-based case studies for validation.
Main Results:
- Demonstrated significant improvement in measurement accuracy and speed.
- Achieved correction quality index improvements ranging from a few times to over 100.
- Showcased the ability to correct dynamical properties of data acquisition systems.
- Presented methods for obtaining models for filter tuning.
Conclusions:
- Supplementary discrete-time filters offer a simple yet effective way to enhance data acquisition systems.
- The proposed method significantly improves measurement quality and efficiency.
- The approach can be extended to formulate artificial intelligence for data acquisition systems and sensors, potentially implemented as expert system knowledge bases.
Related Concept Videos
01:14NMR Spectrometers: Resolution and Error Correction
749
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
749
01:26Feedback control systems
367
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
367
01:07Time-Domain Interpretation of PD Control
160
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
160
01:21Linear Approximation in Time Domain
113
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
113
01:15Distance Corrections
60
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
60
01:10Control Systems
1.3K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
1.3K