摘要
采用模糊PID智能控制算法,对锅炉主蒸汽压力进行控制,建立锅炉主蒸汽压力控制的MATLAB/Simulink仿真模型,编写基于MATLAB的粒子群程序优化模糊PID比例因子和量化因子,并与模糊PID和常规PID控制算法进行比较。仿真结果表明:与PID控制、模糊PID控制相比,采用基于PSO优化的锅炉主蒸汽压力控制,具有较强的适应性、鲁棒性和抗干扰性。
Applies fuzzy PID intelligent control algorithm to control boiler main steam pressure and sets up the MATLAB/Simulink simulation model. Writes MATLAB-based particle swarm program to optimize ratio factors and quantitative factors of fuzzy PID controller, and compares with the conventional PID control and fuzzy PID control. The simulation results show that the POS-based control algorithm has strong adaptability, robustness and anti-interference.
出处
《湖南工业大学学报》
2012年第5期62-66,共5页
Journal of Hunan University of Technology
