Computer architecture: a quantitative approach
Computer architecture: a quantitative approach
The Architecture of an FPGA-Style Programmable Fuzzy Logic Controller Chip
ACAC '00 Proceedings of the 5th Australasian Computer Architecture Conference
A combinatorial group testing method for FPGA fault location
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
A systematic study of fuzzy PID controllers-function-based evaluation approach
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
Now, many systems aretime-varying, nonlinear and real-timein industrial processes.According to PID parameters adjustment problems of these systems, firstly, the paper adopts adaptive genetic algorithm (AGA) to optimize the parameters of PID controller and introduces altera FPGA 1P1C6F256C8 to implement PID controller. Secondly, the closed-loop test system is constructed by DSP builder. At last, TCL script file which is generated by signal compiler is run in modelsim to verify VHDL code which is compiled in Quartus II. The results show that AGA improves the precision of PID parameters optimization and the adaptability of control system, simultaneously demonstrate the feasibility and practicability of intelligent PID controller based on FPGA.