Design of internal model controller based on ITAE index and its application in boiler combustion control system

TLDR: Adaptive weight particle swarm optimization (AWPSO) algorithm is used in optimizing parameters of IMC and PID with the control evaluation index based on integral of time-weighted absolute value of the error (ITAE) shows that the proposed approach can achieve better control performance than PID.

Abstract: Combustion control system is a typical system with large time delays and complex couplings. The traditional PID control approach is a classical method often used. However, control performances of PID are unsatisfied such as overshoot and switch time. Internal model control (IMC) is a new control strategy with controller design based on process mathematical model. IMC is widely applied in combustion system because of its outstanding control performance and the simplicity of design. In this paper, an IMC structure is established firstly. Then, adaptive weight particle swarm optimization (AWPSO) algorithm is used in optimizing parameters of IMC and PID with the control evaluation index based on integral of time-weighted absolute value of the error (ITAE). Finally, these adjusted parameters are applied in process object. Result shows that the proposed approach can achieve better control performance than PID.