无稳定状态颤振的单变量极值搜索算法仿真

Single-Variable Extremum Seeking Algorithm Simulation of Steady-State Chatter

针对无稳定状态颤振的单变量极值搜索算法限制条件较为严格的问题,利用平均化方法构造了平均化系统并证明了算法的稳定性,给出了系统参数的选取条件。以微喷十字粱实验系统为例进行应用仿真研究,说明无稳定状态颤振极值搜索算法可减弱系统颤振,改善算法稳定性和准确性。

The single-variable extremum seeking algorithm without steady-state chatter was hedged around with rigorous restrictions, the averaging method was used to construct the averaged system and the system stability was proved. System parameters selection requirement was given at last. The example of experimental system of jet cross beam was used to applied simulate. The simulation results demonstrated that the extremum seeking algorithm without steady-state could attenuate state chatter, improve stability and accuracy of algorithm.