Sideslip angle estimator based on ANFIS for vehicle handling and stability

Boada, Beatriz L.; Boada, María Jesús López; Gauchía, A.; Olmeda, Ester; Díaz, Vicente

doi:10.1007/s12206-015-0320-x

Cited by 34 publications

(21 citation statements)

References 27 publications

(30 reference statements)

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“…The problem is the determination of the given angle because it is difficult to measure with the sensor. A Sideslip angle modeling involves the use of various methods, and Boada et al (2015), propose ANFIS for this purpose. In (Boada et al, 2016), the same author uses the Kalman filter to evaluate the Sideslip angle, in combination with the ANFIS model.…”

Section: Vehicle Steering and Controlmentioning

confidence: 99%

Application of the ANFIS model in road traffic and transportation: A literature review from 1993 to 2018

Stojčić

2019

Oper. Res. Eng. Sci. Theor. Appl.

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The paper's focus is on researching the application of the ANFIS (Adaptive Neuro Fuzzy Inference System) model in traffic and transport through a review of relevant papers. The ANFIS, as an element of artificial intelligence, is widely used in intelligent transport systems. All collected papers are divided into 7 sub-areas, namely: 1) vehicle routing, 2) traffic control at intersections with light signaling, 3) vehicle steering and control, 4) safety, 5) modeling of fuel consumption, engine performance and exhaust emissions, 6) traffic congestion prediction, and 7) other applications. For each sub-area, the analysis of the proposed models is performed with a tabular overview of respective input and output variables, while in the third section the discussion of the results is given. It is found that the steering and control of vehicles represent a sub-area with the highest percentage in the total number of examined papers, while the security applications take second place.

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Section: Vehicle Steering and Controlmentioning

confidence: 99%

Application of the ANFIS model in road traffic and transportation: A literature review from 1993 to 2018

Stojčić

2019

Oper. Res. Eng. Sci. Theor. Appl.

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“…characteristics and parameters are difficult to determine, as in the case of vehicles, one potential solution is the use of artificial intelligence. In [19] and [20], vehicle sideslip angle was estimated using a neural network (NN) and adaptive neural fuzzy inference system (ANFIS). In [7], an NN was used for vehicle roll angle estimation.…”

Section: Vehicle Roll Angle Observer Designmentioning

confidence: 99%

A robust observer based on energy-to-peak filtering in combination with neural networks for parameter varying systems and its application to vehicle roll angle estimation

Boada

Díaz

2018

Mechatronics

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“…An artificial neural network method for slip estimation using acceleration, velocity, inertial and steering angle information was also proposed in (Kato et al, 1994). Moreover, in (Boada et al, 2015) an adaptive neuro-fuzzy inference system approach was applied with various signal measurements. Another formulation of the neural networks, such as the general regression for the side-slip angle estimation, was used in (Wei et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles

Fényes

Németh

Gáspár

2018

Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics

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Abstract:In the paper a novel side-slip estimation algorithm, which is based on big data approaches, is proposed. The idea of the estimation is based on the availability of a large amount of information of the autonomous vehicles, e.g. yaw-rate, accelerations and steering angles. The significant number of signals are processed through big data approaches to generate a simplified rule for the side-slip estimation using the onboard signals of the vehicles. Thus, a subset selection method for time-domain signals is proposed, by which the attributes are selected based on their relevance. Furthermore, a linear regression using the Ordinary Least Squares (OLS) method is applied to derive a relationship between the attributes and the estimated signal. The efficiency of the estimation is presented through several CarSim simulation examples, while the WEKA data-mining software is used for the OLS method.

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Sideslip angle estimator based on ANFIS for vehicle handling and stability

Abstract: ABSTRACT Most of the existing ESC (Electronic Stability Control) systems rely on the measurement of both yaw rate and sideslip angle. However, one of the main issues is that the sideslip angle cannot be measured directly because

Cited by 34 publications

References 27 publications

Application of the ANFIS model in road traffic and transportation: A literature review from 1993 to 2018

Application of the ANFIS model in road traffic and transportation: A literature review from 1993 to 2018

A robust observer based on energy-to-peak filtering in combination with neural networks for parameter varying systems and its application to vehicle roll angle estimation

A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles

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