动态辐照度模拟用日光模拟器控制器设计

SOLAR SIMULATOR CONTROLLER DESIGN FOR DYNAMIC IRRADIANCE SIMULATION

为实现动态(特别是日变化)辐照度的模拟,设计一种基于迭代学习的PID控制器。该控制器分为内外两个环,外环利用迭代学习控制策略对设定值进行优化,将优化的设定值序列,逐步加到系统上,系统从一个设定值到另一个设定值实现平滑过渡,从而改善控制系统的动态性能;内环在自校正PID控制器的作用下,使实际辐照度跟随期望辐照度轨迹。仿真结果显示,外环在阶跃设定基础上经过迭代学习进行系统设定值序列的优化调整,得到"受控"的设定值。内环进行系统动态控制。输出随迭代逐步跟踪期望轨线,系统无超调,实现了设定值间的平滑过渡。而且,从实验结果可看出,在控制策略的作用下,可实现动态(日变化)辐照度的模拟。该控制策略针对日变化辐照度这种具有重复期望轨线特性的系统,优势明显。

To realize the dynamic （especially the diurnal variation of irradiance） irradiance simulation, a self-tuning PID controller based on iterative learning control is designed and investigated. The controller consists of inner and outer loop. The function of outer loop is to optimize by iterative learning control strategy the setpoints which gradually are added to the system. The system from a set value to another value achieves a smooth transition, and the dynamic performance is improved. The function of inner loop with self tuning PID controller is to control the actual irradiance to follow the desired irradiance trajectory. The simulation results show that, in the outer loop the ＂controlled＂ optimized setting sequence is acquired based on the iterative learning, and in the inner system dynamic control is improved. The output with the iteration step increasing step by step tracks the desired trajectory. There is no overshoot. The smooth transition between setpoints is realized. Also, it is shown from the experimental results, under the control strategy, the dynamic （diurnal） irradiance simulation is achieved. The control strategy has obvious advantages for repeatedly desired trajectory characteristics （for example, the diurnal irradiance variation）.