CONTROL OF TEMPERATURE AND LIQUID LEVEL IN MIXING TANK USING FUZZY METHOD ON REAL MODEL

Abstract

Temperature and liquid level are crucial parameters in the food and beverage production line. In the raw material mixing tank, the two temperature and liquid level control loops are not entirely independent; instead, they exhibit cross-interactions, leading to difficulties in controlling each parameter individually. This study proposes and designs an application of an integrated PID-fuzzy controller to minimize the mutual influence between the temperature control loop and the level control loop. The proposed integrated control structure is based on fuzzy rules to ensure optimal output signals and enhance the stability of both temperature and level variables. Integrating fuzzy information also helps mitigate the impact of system noise on control quality. The feasibility and effectiveness of the proposed controller are experimentally verified using the CE117 module from Tecquipment. The two output variables, temperature and liquid level, maintain rapid stability to set values in cases of setpoint changes and variations in disturbance variables.