A Fuzzy Logic Based Piezoresistive/Piezoelectric Fusion Algorithm for Carbon Nanocomposite Wide Band Strain Sensor

Alotaibi, Ahmed; Anwar, Sohel

doi:10.1109/access.2020.3049081

Cited by 5 publications

(9 citation statements)

References 61 publications

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“…The piezoresistive and piezoelectric element's measurements are used by the DPPF's FIS as input variables for the DPPF's FIS. Compared to the original PPF method used in the study [29], the direct PPF utilized the piezoresistive and piezoelectric measurements instead of their estimated errors. The FIS determines the piezoresistive weight (𝒘 𝑷𝒊𝒗𝒆 ) or piezoelectric weight (𝒘 𝑷𝒓𝒊𝒄 ) based on both the measurements and the FIS's structure and configuration.…”

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

“…The FIS determines the piezoresistive weight (𝒘 𝑷𝒊𝒗𝒆 ) or piezoelectric weight (𝒘 𝑷𝒓𝒊𝒄 ) based on both the measurements and the FIS's structure and configuration. The final fused strain signal (𝜺 𝒇 ) was calculated using the Equation (3) [29], as follows:…”

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

“…This equation has an infinite amount of solutions due to the presence of the two unknown weighting factors in a single fusion equation. Consequently, one of sensors was assigned a total wight of one while the other sensor's weight estimated using the following Equations ( 4) or ( 5) [29]:…”

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

“…During the data preparation for the DPPF's FIS, all measurements, including the reference strain gauges measurements, were shifted by a positive constant number c to avoid getting infinity weights in the Equations ( 4) and ( 5) caused by the harmonic strain measurement and zero-crossing at no strain conditions. The shifted data were used to calculate both weights and the final fused strain equation become [29]:…”

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

“…This assumption might lead to losing available measurements at some operation frequencies. A novel weighted fusion technique was recently introduced to combine the MWCNT/PVDF strain sensor's piezoresistive and piezoelectric characteristics [29]. The error based piezoresistive piezoelectric fusion (PPF) is based on fuzzy logic (FL), where data-driven approaches were used to generate the PPF's fuzzy inference system (FIS).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Direct and Extended Piezoresistive and Piezoelectric Strain Fusion for a Wide Band PVDF/MWCNT-Based 3D Force Sensor

Alotaibi¹,

Anwar

2021

IEEE Access

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Section: A the Direct Ppf Methodsmentioning

confidence: 99%

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

Section: A the Direct Ppf Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Direct and Extended Piezoresistive and Piezoelectric Strain Fusion for a Wide Band PVDF/MWCNT-Based 3D Force Sensor

Alotaibi¹,

Anwar

2021

IEEE Access

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Mobile Robot Path Planning based on Fuzzy Logic Algorithm in Dynamic Environment

Wang

2022

2022 International Conference on Artificial Intelligence in Everything (AIE)

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An Application of Modified T2FHC Algorithm in Two-Link Robot Controller

Ngo,

Tran,

et al. 2023

Journal of Robotics and Control

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Parallel robotic systems have shown their advantages over the traditional serial robots such as high payload capacity, high speed, and high precision. Their applications are widespread from transportation to manufacturing fields. Therefore, most of the recent studies in parallel robots focus on finding the best method to improve the system accuracy. Enhancing this metric, however, is still the biggest challenge in controlling a parallel robot owing to the complex mathematical model of the system. In this paper, we present a novel solution to this problem with a Type 2 Fuzzy Coherent Controller Network (T2FHC), which is composed of a Type 2 Cerebellar Model Coupling Controller (CMAC) with its fast convergence ability and a Brain Emotional Learning Controller (BELC) using the Lyaponov-based weight updating rule. In addition, the T2FHC is combined with a surface generator to increase the system flexibility. To evaluate its applicability in real life, the proposed controller was tested on a Quanser 2-DOF robot system in three case studies: no load, 180 g load and 360 g load, respectively. The results showed that the proposed structure achieved superior performance compared to those of available algorithms such as CMAC and Novel Self-Organizing Fuzzy CMAC (NSOF CMAC). The Root Mean Square Error (RMSE) index of the system that was 2.20E-06 for angle A and 2.26E-06 for angle B and the tracking error that was -6.42E-04 for angle A and 2.27E-04 for angle B demonstrate the good stability and high accuracy of the proposed T2FHC. With this outstanding achievement, the proposed method is promising to be applied to many applications using nonlinear systems.

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A Fuzzy Logic Based Piezoresistive/Piezoelectric Fusion Algorithm for Carbon Nanocomposite Wide Band Strain Sensor

Cited by 5 publications

References 61 publications

Direct and Extended Piezoresistive and Piezoelectric Strain Fusion for a Wide Band PVDF/MWCNT-Based 3D Force Sensor

Direct and Extended Piezoresistive and Piezoelectric Strain Fusion for a Wide Band PVDF/MWCNT-Based 3D Force Sensor

Mobile Robot Path Planning based on Fuzzy Logic Algorithm in Dynamic Environment

An Application of Modified T2FHC Algorithm in Two-Link Robot Controller

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