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<p>The article establishes the objective function of distributed electronic and electrical architecture from three dimensions of economy, quantization and loadability, and constructs a mathematical model for multi-objective optimization based on the satisfaction of constraints. The model was applied and tested in the intelligent control system of automotive industrial equipment. In practical applications, the intelligent control system can automatically reduce the speed to 16km/h to maintain a safe distance and prevent collision when the target vehicle is monitored to enter the lane it is in and the distance between the two cars is less than 30 meters. Under 1500 pcu/h traffic flow conditions, the average delays of vehicles at the intersection through intelligent control were only 8.06 seconds and 8.02 seconds, compared to 20.58 seconds and 23.29 seconds for vehicles under conventional control. Vehicle intelligent control systems based on distributed electronic and electrical architectures have great potential for development and significant safety performance improvement in automotive industrial equipment manufacturing. The research in this paper provides a new perspective and adequate technical support for the intelligent control of future industrial equipment.</p>
</abstract>

The article establishes the objective function of distributed electronic and electrical architecture from three dimensions of economy, quantization and loadability, and constructs a mathematical model for multi-objective optimization based on the satisfaction of constraints. The model was applied and tested in the intelligent control system of automotive industrial equipment. In practical applications, the intelligent control system can automatically reduce the speed to 16km/h to maintain a safe distance and prevent collision when the target vehicle is monitored to enter the lane it is in and the distance between the two cars is less than 30 meters. Under 1500 pcu/h traffic flow conditions, the average delays of vehicles at the intersection through intelligent control were only 8.06 seconds and 8.02 seconds, compared to 20.58 seconds and 23.29 seconds for vehicles under conventional control. Vehicle intelligent control systems based on distributed electronic and electrical architectures have great potential for development and significant safety performance improvement in automotive industrial equipment manufacturing. The research in this paper provides a new perspective and adequate technical support for the intelligent control of future industrial equipment.

An Intelligent Control Method for Industrial Equipment Based on Distributed Electrical and Electronic Architecture

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The article establishes the objective function of distributed electronic and electrical architecture from three dimensions of economy, quantization and...

An Intelligent Control Method for Industrial Equipment Based on Distributed Electrical and Electronic Architecture

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 10 gen 2024

Accettato: 20 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0451

Parole chiave
Electronic and electrical architecture, Multi-objective optimization model, Intelligent control system, Objective function

© 2024 Xiaodong Han, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

An Intelligent Control Method for Industrial Equipment Based on Distributed Electrical and Electronic Architecture

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 10 gen 2024

Accettato: 20 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0451

Parole chiaveElectronic and electrical architecture, Multi-objective optimization model, Intelligent control system, Objective function

© 2024 Xiaodong Han, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Electronic and electrical architecture, Multi-objective optimization model, Intelligent control system, Objective function