Abstract
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.
The work has been supported by the youth fund of Anhui University of Science and Technology (DG726).
All authors have used the western naming convention, with given names preceding surnames.
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Qu, L., Huang, Y., Ling, L. (2008). Design of Intelligent PID Controller Based on Adaptive Genetic Algorithm and Implementation of FPGA . In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_62
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DOI: https://doi.org/10.1007/978-3-540-87734-9_62
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