Development of intelligent active steering with fuzzy, PID controller and uncontrolled

The design of a fuzzy controller entails the concept of input-output fuzzy variables, decision-making procedures for the fuzzy control laws, fuzzy inference logic, and defuzzification. Two input parameters and one output variable comprise a fuzzy controller. The yaw rate error and its derivative...

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Main Authors: Imran, H., Rani, Ridhwan, Zulfadhli, S. M., Qibtiah, Raja Mariatul, Azraai, Munirah
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.uthm.edu.my/6878/1/J13841_fedff7ea5d551f2b3e6faba930d27669.pdf
http://eprints.uthm.edu.my/6878/
https://doi.org/10.48047/rigeo. 11.07.59
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spelling my.uthm.eprints.68782022-04-07T02:16:06Z http://eprints.uthm.edu.my/6878/ Development of intelligent active steering with fuzzy, PID controller and uncontrolled Imran, H. Rani, Ridhwan Zulfadhli, S. M. Qibtiah, Raja Mariatul Azraai, Munirah TA349-359 Mechanics of engineering. Applied mechanics The design of a fuzzy controller entails the concept of input-output fuzzy variables, decision-making procedures for the fuzzy control laws, fuzzy inference logic, and defuzzification. Two input parameters and one output variable comprise a fuzzy controller. The yaw rate error and its derivative are used as inputs. Through the use of appropriate differential equations, fuzzification created the evaluated controller inputs structurally consistent with the circumstance of the information rules. The fuzzy control technique can be used to compensate for the program's various coefficients of road friction and fluctuations. To accommodate for disruptions, the vehicle's side slip angles and yaw rate should be monitored. The proposed framework here considers the system's various coefficient of friction of the road. The mathematical derivation demonstrates that the system meets a contrasting situation. Comprehensive computer tests are performed for a variety of abnormalities, including crosswind and braking torque. The results of the simulation will reveal the effect of disturbance absorption. The implemented controller's efficiency will be evaluated to that of uncontrolled and PID controller techniques. The findings indicate that when opposed to ordinary and PID control schemes, the Fuzzy proposed controller is more effective at attenuating various disturbances for different road correlations. Additionally, the simulation results indicate that the system is unresponsive to external disturbances and competent of compensating for the driver's 'delayed acts' in response to a sudden disturbance on any driving conditions. 2021 Article PeerReviewed text en http://eprints.uthm.edu.my/6878/1/J13841_fedff7ea5d551f2b3e6faba930d27669.pdf Imran, H. and Rani, Ridhwan and Zulfadhli, S. M. and Qibtiah, Raja Mariatul and Azraai, Munirah (2021) Development of intelligent active steering with fuzzy, PID controller and uncontrolled. REVIEW OF INTERNATIONAL GEOGRAPHICAL EDUCATION, 11 (7). pp. 582-595. ISSN 2146-0353 https://doi.org/10.48047/rigeo. 11.07.59
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TA349-359 Mechanics of engineering. Applied mechanics
spellingShingle TA349-359 Mechanics of engineering. Applied mechanics
Imran, H.
Rani, Ridhwan
Zulfadhli, S. M.
Qibtiah, Raja Mariatul
Azraai, Munirah
Development of intelligent active steering with fuzzy, PID controller and uncontrolled
description The design of a fuzzy controller entails the concept of input-output fuzzy variables, decision-making procedures for the fuzzy control laws, fuzzy inference logic, and defuzzification. Two input parameters and one output variable comprise a fuzzy controller. The yaw rate error and its derivative are used as inputs. Through the use of appropriate differential equations, fuzzification created the evaluated controller inputs structurally consistent with the circumstance of the information rules. The fuzzy control technique can be used to compensate for the program's various coefficients of road friction and fluctuations. To accommodate for disruptions, the vehicle's side slip angles and yaw rate should be monitored. The proposed framework here considers the system's various coefficient of friction of the road. The mathematical derivation demonstrates that the system meets a contrasting situation. Comprehensive computer tests are performed for a variety of abnormalities, including crosswind and braking torque. The results of the simulation will reveal the effect of disturbance absorption. The implemented controller's efficiency will be evaluated to that of uncontrolled and PID controller techniques. The findings indicate that when opposed to ordinary and PID control schemes, the Fuzzy proposed controller is more effective at attenuating various disturbances for different road correlations. Additionally, the simulation results indicate that the system is unresponsive to external disturbances and competent of compensating for the driver's 'delayed acts' in response to a sudden disturbance on any driving conditions.
format Article
author Imran, H.
Rani, Ridhwan
Zulfadhli, S. M.
Qibtiah, Raja Mariatul
Azraai, Munirah
author_facet Imran, H.
Rani, Ridhwan
Zulfadhli, S. M.
Qibtiah, Raja Mariatul
Azraai, Munirah
author_sort Imran, H.
title Development of intelligent active steering with fuzzy, PID controller and uncontrolled
title_short Development of intelligent active steering with fuzzy, PID controller and uncontrolled
title_full Development of intelligent active steering with fuzzy, PID controller and uncontrolled
title_fullStr Development of intelligent active steering with fuzzy, PID controller and uncontrolled
title_full_unstemmed Development of intelligent active steering with fuzzy, PID controller and uncontrolled
title_sort development of intelligent active steering with fuzzy, pid controller and uncontrolled
publishDate 2021
url http://eprints.uthm.edu.my/6878/1/J13841_fedff7ea5d551f2b3e6faba930d27669.pdf
http://eprints.uthm.edu.my/6878/
https://doi.org/10.48047/rigeo. 11.07.59
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score 13.15806