Electric Power Steering System for Commercial Vehicles using Computational Intelligent Technique

One crucial problem that needs fixing is the steering mechanism in automobiles. It would be simple and risk-free to have an effective steering system with the correct control. Fuzzy logic-based Type-2 control has the benefit of being able to effectively handle inputs, which are frequent in autonomou...

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Bibliographic Details
Published in2023 International Conference on Inventive Computation Technologies (ICICT) pp. 1504 - 1506
Main Authors K, Elango M, P, Karthik
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.04.2023
Subjects
Fuzzy logic
Fuzzy Logic Controller
Input variables
Navigation
Power systems
Process control
Proportional Derivative (PD) Controller
Proportional Integral (PI) Controller
Proportional Integral Derivative (PID) Controller
Steady-state
Steering systems
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Summary:One crucial problem that needs fixing is the steering mechanism in automobiles. It would be simple and risk-free to have an effective steering system with the correct control. Fuzzy logic-based Type-2 control has the benefit of being able to effectively handle inputs, which are frequent in autonomous cars, as compared to other forms of controls. The stability of autonomous cars is provided in this work using an innovative technique for Type-2 Fuzzy Logic processing and Proportional Integral control. Three inputs are considered by the major system, a fuzzy logic Type 2 controls: speed, navigation, and distance. A guiding value is produced by the fuzzy system. Input for the supplementary PI control was provided through this.
ISSN:2767-7788
DOI:10.1109/ICICT57646.2023.10134327