Temperature Control Research Of Heating Furnace Based On An Improved Ant Colony Algorithm

In recent years,energy conservation,environmental protection and development of circular economy have become the mainstream of national and social development.But in the process of industrial production,energy consumption and serious pollution are not conducive to healthy and sustainable development.In many industrial production processes,especially in the iron and steel industry,energy consumption is huge.As the first part in the whole production chain,the hot rolling furnace is also a huge energy consumption equipment.Accurate control of its temperature has become an urgent issue to be solved.Due to the strong nonlinear,time-varying,hysteresis and strong coupling characteristics of the heating furnace in actual working conditions,the traditional control methods are difficult to accurately control it.A number of control strategies such as adaptive control and neural network control have been proposed by relevant experts.The application shows that although the above algorithm is much better than the traditional control methods,the control effect is not very ideal in the face of the complex situation in the actual working conditions,so it is urgent to develop a system with good control effect for the heating furnace.According to the technological process and working characteristics of heating furnace,a control method combining improved ant colony immune algorithm with PIDNN was proposed,and a new type of furnace temperature controller was designed.The ant colony algorithm improved its state transition rule and initial pheromone allocation principle,introducing the antibody concentration regulation mechanism.It was improved into an ant colony immune algorithm with better performance.The improved ant colony immune algorithm was used to optimize the weight of PIDNN.A new improved ant colony immune algorithm furnace temperature controller was constructed.The simulation results show that the PIDNN temperature control system with improved ant colony immune algorithm have better dynamic and stable performance,faster response speed and stronger anti-interference ability,which save the time required for industrial control,improve the stability of the heating furnace system,and provide an effective method for the control of hot rolling furnace.Figure 34;Table 10;Reference 59...