Spray chambers are widely used in spinning air-conditioning systems to humidify air. However

the cooling and humidification air treatment leads to the mutual interference between the temperature and humidity control. Moreover

the traditional proportional-integral (PI) control based on passive set-point tracking tends to cause oscillations in both variables. Therefore

based on mathematical models of the spinning air-conditioning system

decouplers for temperature and humidity control loops are designed using the diagonal matrix decoupling method. This decoupling method incorporates information entropy theory to enhance the performance of the temperature and humidity control. An entropy index-based evaluation method is proposed to assess the control performance of the air-conditioning temperature and humidity. Simulation studies on the decoupling control algorithm

integrated with the proposed automatic control strategy

are conducted using the operational data from a spinning workshop. The results indicate that compared to the conventional proportional-integral control (CPIC) method

the diagonal matrix decoupling control with information entropy (DMDCIE) completely eliminates the coupling of the temperature and humidity. It can keep the workshop temperature consistently stable at the set-point. The entropy indices of the temperature and humidity under DMDCIE are approximately 50 % lower than those under CPIC

indicating that DMDCIE can significantly improve the robustness of the temperature and humidity control.