Research on Optimal Control of Fractional Order PIλDμ Parameters of SCR Denitrification System

Abstract

Selective Catalytic Reduction (SCR) is the most widely used and most mature denitrification technology in thermal power plants in my country. In view of the strong interference characteristics in the SCR denitrification system, this paper applies the fractional order PIλDμ controller to the outer loop control of the denitrification system. Because the fractional order PIλDμ controller has many parameters and the adjustment process is complicated and cumbersome, this paper proposes an Optuna optimization algorithm with CMA-ES sampler. This algorithm introduces the sampling principle of the CMA-ES algorithm into Optuna, and uses the strong parameter search ability of CMA-ES to determine the parameters of the fractional order PIλDμ controller. The experimental results show that the fractional order PIλDμ controller has good tracking, anti-interference and robustness in the denitrification control system of thermal power plants.