IPSO算法在黄酒发酵温控系统中的应用  

Application of IPSO to Rice Wine Fermentation Temperature Control

作　　者：赵兢兢[1] 王志勇[1] 徐保国[1] 

机构地区：[1]江南大学物联网工程学院,无锡214122

出　　处：《计算机系统应用》2013年第1期91-94,90,共5页Computer Systems & Applications

基　　金：教育部国防基础科研基金(A1420080177);江苏省博士后基金(1101021B)

摘　　要：黄酒发酵温度控制系统是一个时变的、非线性的系统.在黄酒发酵控制中温度是一个非常重要的参数,针对黄酒发酵的温度特性,设计出了一种基于位置加权和自适应惯性权重的改进粒子群算法(IPSO)的PID温度控制系统.带位置加权的PSO算法减小了搜索过程的盲目性,克服了基本PSO算法易陷入局部极值的缺陷.自适应惯性权重兼顾了粒子的全局与局部搜索能力.将IPSO优化算法用标准测试函数进行测试,结果表明该算法优化结果比标准PSO算法有所提高.并采用LabVIEW与MATLAB混合编程的方法进行仿真比较,结果表明,该控制方法具有动态响应快、超调量小、鲁棒性强等优点,有很好的实用性.The control system for rice wine fermentation is an unstable system with time-varying and nonlinearity. Temperature is a very important parameter in rice wine fermentation control. For rice wine fermentation temperature characteristics, a PID temperature control system is designed based on particle swarm algorithm （IPSO） with Position Weighted and adaptive inertial weight. The improved PSO algorithm with Position Weighted, which can reduce the blindness in the search process to overcome the defect that basic PSO algorithm is easy to fall into local minima is proposed. And adaptive inertial weight can balance the global and local search ability of the particles. It uses the IPSO to optimize the standard test functions and analyzes the test results, and finds the test results are better than before. This paper uses LabVIEW and the MATLAB mix programming method to simulate and compare. The result shows the control strategy has a fast dynamic response, slight overshoot and strong robust, and with good usability.

关 键 词：黄酒温度控制 粒子群优化 PID控制 LABVIEW MATLAB 

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]