加入PSO算法在蔗糖结晶模糊控制中的应用  

Application of PSO Algorithm to Fuzzy Control of Sucrose Crystallization

作　　者：潘泽锴[1] 周晓芳[1] 

机构地区：[1]广西职业技术学院制糖过程控制技术实训中心,南宁530226

出　　处：《计算机测量与控制》2017年第12期83-85,共3页Computer Measurement &Control

基　　金：广西高校科学技术研究项目(KY2015YB384);广西教育厅自然科学重点资助项目(20161A023)

摘　　要：在煮糖过程中人为因素对出糖数量和质量都有很大的影响,而蔗糖结晶过程难以建立准确的数学模型使得传统的控制方法无法实现精准控制,在总结经典PID控制和已经实际应用的蔗糖结晶过程模糊控制理论的基础上,提出了采用模糊推理对PID控制器参数进行自整定,加入改进粒子群算法对控制器过程参数进行优化调整,完成融入PSO算法的蔗糖结晶过程模糊控制器的设计,利用每次控制输出反馈自整定来提高控制器性能;通过Matlab软件模拟仿真测试效果表明,该方法增强了系统鲁棒性,可以提高出糖的品质。In the process of boiling sugar, human factors have a great influence on the quantity and quality of sugar. It is difficult to found accurate mathematical models of sucrose crystallization＇s process, which is unable to achieve precise control by traditional control meth- od. It use Fuzzy reasoning for auto--tuning of PID controller parameters. On the basis of summarizing the classical PID control theory and the practical application of sucrose crystallization process of fuzzy control theory, which added improved PSO algorithm to optimize and adjust the process parameters for the controller. It accomplished the design of PSO Algorithm to Fuzzy Control of Sucrose Crystallization. To im- prove performance, what is used to control output feedback controller auto--tuning each time. Simulation test results show that by using Matlab software. This methods can enhance system robustness and improve the quality of sugar.

关 键 词：蔗糖结晶 过程控制 模糊控制 粒子群算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]