Design of LQR Control for Regulating Relative Air Temperature in Beef Cooling Room Systems

Abstract

Beef refrigeration systems are critical for maintaining the freshness of beef shortly after harvesting. Ensuring optimal storage conditions requires precise temperature regulation to prevent spoilage and maintain quality. This study focuses on designing an advanced control system using a combined LQR controller to enhance system performance by minimizing errors and mitigating oscillations in temperature and relative humidity. The LQR controller, known for its regulatory properties, was integrated with a controller to achieve superior output accuracy and stability. Simulation results demonstrate that the proposed LQR controller effectively minimizes steady-state errors to 0°C, reduces temperature oscillations to 0%, and achieves precise relative humidity control, ensuring ideal refrigeration conditions for beef storage. This approach showcases a robust and efficient solution for temperature regulation in engineering applications.