基于粒子群算法的脱硫系统pH值分数阶PID优化控制  

Fractional PID Optimal Control of pH Value of Desulfurization System Based on Particle Swarm Optimization

作　　者：邓若辰 钟文琪[1] 孙立[1] 

机构地区：[1]东南大学能源热转换及其过程测控教育部重点实验室,江苏南京210096

出　　处：《工业控制计算机》2020年第12期87-90,共4页Industrial Control Computer

摘　　要：循环浆液的pH值是反映电站锅炉脱硫系统运行的重要指标,过高或过低的pH值都将影响脱硫效率甚至系统安全。然而,pH值控制过程具有大滞后、大惯性的特点,因此对其进行精确控制较为困难。目前火电厂常用的浆液pH值控制系统为手动控制或PID控制,这种控制方式较为粗放,易导致较大的pH值波动和较低的经济性。采用分数阶PID控制器克服脱硫系统大惯性、大滞后的控制问题。采用粒子群算法对分数阶PID控制器的参数进行优化,仿真结果表明,给出的规则整定的分数阶PID控制器拥有比传统PID更优的性能,通过仿真实验表明该控制器对于脱硫系统浆液pH值的被控对象有较好的控制效果,缩短了调节时间,降低了超调量,明显提高了系统的抗干扰性能和鲁棒性。At present,the common slurry pH control system for thermal power plants for manual control or PID control,which is extensive,easy to lead to larger pH fluctuations and lower economy.In this paper,the fractional-order PID controller is used to overcome the control problems of large inertia and hysteresis of the desulfurization system.Particle swarm algorithm is used to optimize the parameters of the fractional-order PID controller,simulation results show that,based on the rules given in this paper,the fractional-order PID controller has better performance than the traditional PID.Simulation experiments show that the controller for desulfurization system slurry pH value of the controlled object has a better control effect,shorten the adjustment time,reduce the amount of overshoot,significantly improve the system's anti-interference performance and robustness.

关 键 词：湿法脱硫 PH值控制 分数阶PID整定 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程] X773[环境科学与工程—环境工程]