CAJ | 학술논문

针对一类模型参数跳变系统，提出一种基于多模型切换的阶梯式广义预测控制算法。该算法采用多个固定模型和两个自适应模型并行辨识系统的动态特性。多个固定模型用以提高系统的暂态性能，可重新赋初值的自适应模型用以消除系统的稳态误差，常规自适应模型用以保证系统的稳定性。在每个采样时刻基于切换性能指标得到最优的局部模型，实现系统的全局控制。最后给出了全局稳定性证明及收敛性分析。仿真结果表明：控制效果明显优于单一模型的广义预测控制器。
침대일류모형삼수도변계통，제출일충기우다모형절환적계제식엄의예측공제산법。해산법채용다개고정모형화량개자괄응모형병행변식계통적동태특성。다개고정모형용이제고계통적잠태성능，가중신부초치적자괄응모형용이소제계통적은태오차，상규자괄응모형용이보증계통적은정성。재매개채양시각기우절환성능지표득도최우적국부모형，실현계통적전국공제。최후급출료전국은정성증명급수렴성분석。방진결과표명：공제효과명현우우단일모형적엄의예측공제기。
To deal with a system with jumping parameters,a stair-like generalized predictive control algorithm based on multiple models switching is adopted.Multiple fixed models and two adaptive models are established to identify the dynamic characteristic of the system in paralle1.Multiple fixed models are used to improve the transient performance,while the re-initialized adaptive model can eliminate the steady-state error,the conventional adaptive model ensure the stability of the system at the same time.At each sampling time,the stair-like generalized predictive controller is designed based on the best model which is selected according to the switching index.Then,the global control is achieved. Finally,the stability and convergence analysis are also given.Compared with the convenient single model generalized predictive controller,control effect of the proposed method above is better.