Modeling of the tunnel kiln control system taking into account the features of the pid controller and fuzzy logic

Abstract

Taking into account the non-linear, time-varying temperature characteristics of the tunnel kiln, high inertia and some uncertainty of its parameters, it’s difficult to create an accurate mathematical model and get an acceptable set of the controller of the control system. The asynchronous motor actuator of the system, which regulates the amount of gas and air to change the temperature, gives the system first-order a statism. A conventional PID controller does not provide the required quality parameters of temperature control in the entire possible range of changes in the parameters of the controlled object. Thus, the synthesis of an additional fuzzy PID controller is required to ensure the required quality of regulation. Of course, PID control and fuzzy intelligence will provide effective self-tuning of the parameters of controlled PID controllers. A simulation experiment in Matlab shows that fuzzy PID control reduces the time and magnitude of overshoot, effectively increasing the stability of the system by giving it robustness properties.

Combined Effect of Brick Surface Roughness and Lattice Setting Density on Brick Firing in Tunnel Kilns

“…As the heat transfer in tunnel kilns contains about 80% convection and 20% radiation, extensive efforts have been made to investigate the heat transfer in tunnel kilns [32][33][34][35][36][37][38]. The improvements in the design data have allowed better simulation and modeling of different aspects in tunnel kilns [39][40][41][42], including in kiln control [43][44][45]. Additionally, various environmental challenges have been assessed to restrict the generated pollutants from this intense energy-consuming sector due to the huge number of bricks produced annually [13,[46][47][48][49][50].…”