SCR脱硝系统的分数阶PI^(λ)D^(μ)参数优化控制

Optimal Control of Fractional PI^(λ)D^(μ) Parameters of SCR Denitration System

为解决选择性催化还原(SCR)脱硝过程中存在的较强不确定性问题,在不改变原有控制系统的基础上,提出将分数阶PI^(λ)D^(μ)控制应用到SCR脱硝控制系统中。为获取分数阶PI^(λ)D^(μ)控制器参数的最优组合,提出一种带协方差自适应矩阵自适应进化策略(CMA-ES)采样器的Optuna优化算法,并用该算法对分数阶PI^(λ)D^(μ)控制器的参数进行寻优。结果表明:相比于传统最优PID控制方案,优化后的分数阶PI^(λ)D^(μ)控制器具有更好的设定值跟踪能力、抗干扰能力及鲁棒性。

In order to solve the problem of strong uncertainty in the selective catalytic reduction(SCR) denitration process, it was proposed to apply the fractional PI^(λ)D^(μ)control to the control of the SCR denitration system without changing the original control system. An Optuna optimization algorithm with a covariance matrix adaptive evolution strategy(CMA-ES) sampler was proposed to optimize the parameters of the fractional PI^(λ)D^(μ)controller, and the optimal combination of the parameters of the fractional PI^(λ)D^(μ)controller was obtained. Results show that the optimized fractional PI^(λ)D^(μ)controller has better set point tracking ability, anti-interference ability and robustness compared with the traditional optimal PID control scheme.