Skip to content
Research Article Open access CC BY 4.0

A Comparative Analysis of SIMC-PID with Other Conventional Techniques for Automobile Vehicle Air Conditioning System Control

Isaiah Adebayo, David Aborisade, Ogunkeyede Yinka

Journal of Scientific Research and Reports · pp. 27–38 · Published 31 Dec 2020

10.9734/jsrr/2020/v26i1130333

Abstract

Decreasing the thermal increase inside vehicles and safeguarding suitable vehicular temperature levels may result in improved vehicle fuel economy, reliability and passenger comfort. However, getting suitable techniques to attain this has been a great challenge to the system engineers. Although, the use of conventional techniques have proffered a great insight in solving the problem of temperature control in air conditioning system,  however, they suffered from inefficient and non-lasting solution to the heat generated within the cabin walls. Thus, in this present paper, a Simple Internal Model Control based Proportional Integral Derivative (SIMC-PID) controller for automobile vehicle temperature is proposed. The SIMC method is based on the internal model control (IMC) theory and proposes a simple methodology for the tuning of the PI and PID industrial controllers. The suggested approach is compared with the conventional tuning methods such as Zeigler-Nichols, Cohen-Coon and Chien-Hrones-Reswick based on energy conservation and mass balance principles. Results obtained showed that the proposed SIMC-PID method could be of great significance in controlling the air-conditioning system temperature compared with the conventional tuning techniques.

Auto-tuned PID Controller automobile vehicle Matlab-Simulink temperature contro performance.

Cited by 2

Evaluation of nonlinear control performance of air handling units under variable operation conditions using root distribution approach

Zufen Wang, Rodney Hurt, Choon Yik Tang · Science and Technology for the Built Environment · 2022

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.