Fuzzy gain p-type iterative learning controller based on FPGA

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.