The paper aims to solve the problem that the traditional single PID control optimization algorithm only focuses on response performance, so as to meet the demand on quality and yield control in the industrial production links such as pulp concentration control system. The algorithm calculated disturbance rejection by discretizing PID control system, and optimized PID performance by differential evolution algorithm combined with ITAE index. Simulation results showed that the tuning method can freely adjust the performance of PID controller by selecting the optimal preference through the weight. Compared with PID control based on Z-N method and PID control based on PSO algorithm, the ITAE index of PID control based on disturbance rejection differential evolution algorithm was 14.3495, and the output variance was 31.8530, both were better than those of the other two algorithms. The differential evolution algorithm based on disturbance rejection can coordinate the output variance and tracking performance of pulp concentration by user-defined weight, and adjust the parameters of PID controller of pulp concentration control system from a more practical point of view, so that the performance index of control system can meet the requirements of industrial production.