基于PSO算法的PID控制器参数优化及其在置换蒸煮立锅温差控制中的应用

在介绍置换蒸煮工艺流程的基础上,对置换蒸煮控制系统的控制要点和难点进行了分析。针对蒸煮过程中蒸煮立锅顶部药液温度和底部药液温度的差值的控制问题,设计了一种基于PSO(粒子群优化)算法优化PID控制器参数的温度-流量串级控制策略。MATLAB/Simulink仿真结果表明,该控制方案具有算法简单、搜索能力快、效率高等优点,能够有效地解决PID参数优化问题；实际应用结果表明,该方案非常有效。

Optimization of PID Controller Parameters Based on PSO Algorithm and its Application in Temperature Control of Displacement Cooking Digester

Based on the introduction of the process of displacement cooking, the key points and difficulties of the control system of displacement cooking were analyzed. Aiming to control the temperature difference between the upper part and the bottom of the digester, the temperature and flow cascade control strategy based on the PSO (Particle Swarm Optimization) algorithm to optimize the parameters of the PID controller was designed. MATLAB/Simulink simulation results showed that the proposed control scheme had the advantages of simple algorithm, fast searching ability and high efficiency, which could effectively realize PID parameter optimization. The results also proved the effectiveness of the proposed scheme.