Interval type-2 evolving fuzzy Kalman filter for processing of unobservable spectral components from uncertain experimental data

dos Santos Gomes, Daiana Caroline; de Oliveira Serra, Ginalber Luiz

doi:10.1016/j.jfranklin.2023.12.017

Journal of the Franklin Institute

2024

DOI: 10.1016/j.jfranklin.2023.12.017

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Interval type-2 evolving fuzzy Kalman filter for processing of unobservable spectral components from uncertain experimental data

Daiana Caroline dos Santos Gomes,

Ginalber Luiz de Oliveira Serra

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2024

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Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter

Ma,

Meng,

Xiong

2024

Applied Sciences

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To improve the upright balancing performance of the two-wheeled self-balancing car, this paper proposes an attitude estimation algorithm based on fuzzy Kalman filtering. Fuzzy logic is used to correct the inclination angle and angular velocity of the two-wheeled self-balancing car, thereby optimizing the state of the Kalman filter and ultimately improving the balancing performance of the car. This paper combines dual closed-loop PID control with the complementary filtering algorithm, Kalman filtering algorithm, and fuzzy Kalman filtering algorithm to conduct experiments on a physical two-wheeled self-balancing car. The experimental results validate the superiority of the fuzzy Kalman filtering algorithm proposed in this paper for improving the upright balancing performance of the two-wheeled self-balancing car.

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Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter

Ma,

Meng,

Xiong

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

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Interval type-2 evolving fuzzy Kalman filter for processing of unobservable spectral components from uncertain experimental data

Cited by 1 publication

References 52 publications

Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter

Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter

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