To solve the problems of applying extreme seeking algorithm in general system, taking the example of experimental system of jet cross beam, a controller with which ESA is proposed. Neural network and dynamic compensator are introduced to improve the performance of the system. 针对极值搜索算法在一般实际系统中的应用问题,以微喷十字梁实验系统为例,采用极值搜索算法,设计出控制器,同时考虑加入动态补偿器和RBF神经网络改善系统性能。
Study on Neural Network Fast Extreme Seeking Algorithms For Jet Cross Beam System 利用神经网络快速极值搜索算法研究微喷十字梁系统