| 400KW tunnel electric oven (TEO) is the key equipment for biscuit production line whose temperature is controlled manually. Parameter settings are cumbersome, error-prone, and real-time worse. These willl not only affect the quality of biscuit, waste electricity power, but also fail to meet some special biscuits production process requirements. It is an important problem to reduce the parameters adjustment, improve the efficiency and save power consumption.At first, the temperature control of 400 KW TEO is researched and the structure of TEO is analysized. Then, the temperature control system mathematical model of TEO is obtained based on the temperature control curves of different varieties of biscuits. This model is time-varying, uncertain and non-linear. On the basis, conventional PID, improving digital PID and intelligent PID algorithm are researched.The simulations of conventional PID, integral separation PID, velocity PID with a filter, not fully differential PID and differential first PID control algorithms show that they can not meet the temperature control requirements of TEO.According to the principle of fuzzy control and immune control, fuzzy immune PID algorithm for temperature control of TEO is proposed. Simulation result show that the control performance of the fuzzy immune PID algorithm is superior to conventional PID and improved digital PID algorithms. It can meet the temperature control requirements of TEO. |
