摘要
主汽温控制系统是典型的大迟延、大惯性、时变控制系统,一直以来都是火电厂自动控制的难点;为此将内模控制引入主汽温控制系统,并提出采用遗传算法对滤波器参数λ优化整定,该方法简单易行,相较于传统PID参数整定方法具有一定的优越性;并对内模控制为主控制器的IMC-PI控制系统进行SIMULINK仿真,与PID-PI控制系统进行对比,仿真结果表明IMC-PID控制系统相比于传统PID-P串级控制系统过渡时间短、超调量小、鲁棒性好等特点;其控制效果好于常规串级PID控制系统,适用于大迟延、大惯性过程的控制,并且易于在工业上实现。
The main steam temperature control system is a typical large delay, large inertia and time--varying control system. It has al- ways been the difficulty of the automatic control in power plants. Therefore introduce the internal model control to the main steam tempera- ture control system, and use genetic algorithm to optimize the filter parameter. Adopts internal model control as master controller and build its simulation model by computer simulation software MATLAB/SIMULINK. Compared with PID--PI control system, the results show that the IMC--PID control system has the shorter transition time , smaller overshoot and better robustness. Its better than the conventional cas- cade PID control system, easy to implement in the industry and suitable for the large delay and large inertia process control.
出处
《计算机测量与控制》
2015年第5期1519-1521,共3页
Computer Measurement &Control
关键词
主汽温
内模控制
遗传算法
串级控制
main steam system
cascade control
internal model control
GA
