基于模型预测内模的实时控制算法

对具有滞后性、外界扰动和被控对象参数不确定性、快速性要求高的一类单输入-单输出线性系统的非恒值实时控制的模型预测内模的控制算法进行了进一步的分析研究.从理论上分析了该控制算法的系统稳定性条件、稳态控制误差,研究了在逆变电源控制系统中,该控制算法对负载的鲁棒性和对扰动的抑制能力.算法仿真表明:该控制算法能够克服外界扰动和被控对象参数不确定性,系统具有较强的鲁棒性,稳态控制精度高,动态响应速度快.

Real-time Control Algorithm Based on Internal Model Control with Model Prediction

The algorithm with less computation and combining the model predictive control with the internal model control is suitable for the non-constant real-time control of SISO system , which has high requirements in time-delay phenomenon, external disturbance and load parameter uncertainty. The system stability conditions, steady-state control error of the algorithm are analyzed theoretically. In the inverter power control system, the robustness and load disturbance rejection of the algorithm are studied. The simulation result shows that the use of the control algorithm can overcome the external disturbance and the load parameter uncertainty,and the control system can achieve good robustness, high steady-state accuracy, fast dynamic performance.