摘要
将控制对象视为灰色系统,建立了基于灰色理论的广义预测模型(GM(1,2)-GPC),并将该模型的丢番图解与传统PID控制算法相结合,实现了PID参数的自适应整定。对系统模型中的参数通过递推最小二乘法进行辨识。建立的PID新算法为解决系统时滞问题提供了新的思路。仿真结果表明,预测控制算法具有超调量小、收敛速度快、鲁棒性强及较好的适应性和工程应用前景。
The control object as a grey system, is established based on grey theory with the Generalized Prediction Model （ GM { 1,2） - GPC }, And the model of Diophantine diagram and traditional PID control algorithm combining, realize the PID parameter adaptive setting. The system model parameters by recursive least squares identification. The proposed new algorithm to solve the PID system time delay problem to offer new thinking. The simulation results show that, the predictive control algorithm has small overshoot, fast convergence speed, strong robustness and good adaptability and application prospects.
出处
《电气自动化》
2013年第1期12-13,106,共3页
Electrical Automation
基金
甘肃省教育厅科研资助项目(00330715-01)
兰州石化职业技术学院科研项目(k06-08)
关键词
灰色GM(1
2)系统
广义预测控制
PID控制
自适应
参数辨识
Gray GM （ 1,2 } system
generalized predictive control
PID control
adaptive control
parameter Identification
