Model Validation Criteria for System Identification in Time Domain

Muroi, Hideo; Adachi, Shuichi

doi:10.1016/j.ifacol.2015.12.105

“…The number of repetitions was 5, 10, and 20, which were larger than in our previous study [4]. For system identification, the input should be persistently exciting, i.e., it should contain many distinct frequencies [23]. Therefore, in the present study, considering the potential applications of our sensor (i.e., a wide range of inputs), we randomly set the velocity in Steps 2 and 4 from 0 to 5 mm/s, and the rest time in Steps 1 and 3 from 0 to 10 s. For each condition, the measurements were conducted six times.…”

Section: Methodsmentioning

confidence: 94%

Characterization of Variable-sensitivity Compact Force Sensor using Stiffness Change of Shape-memory Polymer Based on Temperature

Takashima

¹

,

Kobuchi

²

,

Kamamichi

³

et al. 2021

Preprint

0

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In the present study, we propose a variable-sensitivity force sensor using a shape-memory polymer (SMP), the stiffness of which varies according to the temperature. Since the measurement range and sensitivity can be changed, it is not necessary to replace the force sensor to match the measurement target. Shape-memory polymers are often described as two-phase structures comprising a lower-temperature “glassy” hard phase and a higher-temperature “rubbery” soft phase. The relationship between the applied force and the deformation of the SMP changes depending on the temperature. The proposed sensor consists of strain gauges bonded to an SMP bending beam and senses the applied force by measuring the strain. Therefore, the force measurement range and the sensitivity can be changed according to the temperature. In our previous study, we found that a sensor with one strain gauge and a steel plate had a small error and a large sensitivity range. Therefore, in the present study, we miniaturize this type of sensor. Moreover, in order to describe the viscoelastic behavior more accurately, we propose a transfer function using a generalized Maxwell model. We verify the proposed model experimentally and estimated the parameters by system identification. In addition, we realize miniaturization of the sensor and achieve the same performance as in our previous study. It is shown that the proposed transfer function can capture the viscoelastic behavior of the proposed SMP sensor quite well.

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“…The identified models must be tested using experimental data sets that are different from the estimation process. Muroi and Adachi (2015) compared several validation criteria for system identification in the time domain, such as fit ratio, correlation coefficient, index of agreement, etc. In MATLAB ®…”

Section: Identification Proceduresmentioning

confidence: 99%

Subspace System Identification of a Pilot Tunnel System of a Combined Sewage System

Wang¹,

Haugen²

2023

MIC

1

0

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This paper presents an investigation into the potential use of subspace identification methods (SIMs) for model-based control of urban drainage systems (UDS) that play a crucial role in collecting and transporting stormwater runoff and domestic sewage to Water Resource Recovery Facilities (WRRF) in urban areas. To evaluate the feasibility of level control using model-based algorithms in UDS, a pilot tunnel system was constructed. Three linear state-space models were identified using the system identification toolbox in MATLAB and an open-source module in Python named SIPPY. The study finds that the identified models can predict the system output with acceptable accuracy thus for model-based control of the system. The findings of this study aim to contribute to the development of more efficient and effective control strategies for UDS.

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“…Using the results of experiments 1 and 2 shown in "Experiments" section, we first estimated the transfer function shown in Eq. ( 19) and calculated the fit ratio [24]. The fit ratio (hereinafter denoted as FIT) is defined as where y(k) and y(k) are the measured output and the simulated output, respectively, at time k, y is the average (14)…”

Section: Calculation Of Forcementioning

confidence: 99%

Characterization of variable-sensitivity force sensor using stiffness change of shape-memory polymer based on temperature

Takashima

¹

,

Kobuchi

²

,

Kamamichi

³

et al. 2021

View full text Add to dashboard Cite

In the present study, we propose a variable-sensitivity force sensor using a shape-memory polymer (SMP), the stiffness of which varies according to the temperature. Since the measurement range and sensitivity can be changed, it is not necessary to replace the force sensor to match the measurement target. Shape-memory polymers are often described as two-phase structures comprising a lower-temperature “glassy” hard phase and a higher-temperature “rubbery” soft phase. The relationship between the applied force and the deformation of the SMP changes depending on the temperature. The proposed sensor consists of strain gauges bonded to an SMP bending beam and senses the applied force by measuring the strain. Therefore, the force measurement range and the sensitivity can be changed according to the temperature. In our previous study, we found that a sensor with one strain gauge and a steel plate had a small error and a large sensitivity range. Therefore, in the present study, we miniaturize this type of sensor. Moreover, in order to describe the viscoelastic behavior more accurately, we propose a transfer function using a generalized Maxwell model. We verify the proposed model experimentally and estimated the parameters by system identification. In addition, we realize miniaturization of the sensor and achieve the same performance as in our previous study. It is shown that the proposed transfer function can capture the viscoelastic behavior of the proposed SMP sensor quite well.

show abstract

Model Validation Criteria for System Identification in Time Domain

Cited by 14 publications

References 7 publications

Characterization of Variable-sensitivity Compact Force Sensor using Stiffness Change of Shape-memory Polymer Based on Temperature

Characterization of Variable-sensitivity Compact Force Sensor using Stiffness Change of Shape-memory Polymer Based on Temperature

Subspace System Identification of a Pilot Tunnel System of a Combined Sewage System

Characterization of variable-sensitivity force sensor using stiffness change of shape-memory polymer based on temperature

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