Fuzzy gain p-type iterative learning controller based on FPGA

摘要：

In the nonlinear system, fixed learning gain in the P-type iterative learning process makes the convergence rate slow and the robustness bad. So the P-type iterative learning gain was set up by fuzzy inference for speeding up the convergence rate and enhancing the robustness. And the design of P-type iterative learning fuzzy gain controller used FPGA (Field-Programmable Gate Array) to complete. Theoretical analysis and hardware test show that the method is effectiveness. The learning speed and effective compared to traditional learning systems improves significantly.

关键词： P-type iterative learning control FPGA Fuzzy learning gain adjustment

作者: Jing Wang Bing Li

作者单位: college of computer and automatic control, Hebei Polytechnic University, Tang Shan, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3208-3212

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）