Temperatrue Control of Microwave Heating System by Adaptive Dynamic Programming

Microwave is widely used in our daily lives and industrial production processes. Due to the uncertainty, nonlinearity and time-varying in the microwave heating process, establishing an accuracy mathematical model to control the microwave heating process is hard. To address this issue, this paper proposes an intelligent temperature control scheme for microwave heating process by adaptive dynamic programming(ADP). Firstly, neural networks based temperature predictive model is established by experimental process data. Secondly the problem of temperature control in microwave heating process can be transformed into the problem of solving error adjustment. ADP control algorithm is used to solve the error adjustment problem. Finally, simulation results demonstarte that our proposed control scheme can effectively control the heating temperature while maintaining a stable microwave power adjustment.