摘要
系统辨识是设计控制系统中的一个重要部分。经典的辨识方法有阶跃响应法、脉冲响应法、频率响应法、相关分析法、谱分析法、最小二乘法和极大似然法等。结合现场中得来的脱硝实验数据,本文在阶跃响应法基础之上,利用现代辨识中的粒子群算法对初步辨识出的参数进行优化,即二次辨识。应用MATLAB软件仿真,可得到经粒子群算法二次辨识后的辨识结果。
system identification is an important part in the design of the control system.There are step response method, impulse response method and frequency response method, correlation analysis and spectrum analysis, least square method and maximum likelihood method in the classical identification methods. Based on the experimental data from denitration and the step response method on the basis of preliminary identified parameters are optimized by the method of modem identification of particle swarm algorithm, namely secondary identification. Using the application of MATLAB simulation software, we can obtain the identification results of particle swarm algorithm two times after identification.
出处
《数字技术与应用》
2017年第6期144-145,149,共3页
Digital Technology & Application
关键词
系统辨识
阶跃响应法
粒子群算法
二次辨识
system identification
Step respome method
Particle Swarm Optimization
secondary identification
