Affiliation:
1. Shenyang University of Technology
Abstract
This paper designs the core structure of fuzzy parameters self-tuning PID controller on the basic of nonlinear tracking-differentiator. Through constantly testing error E and rate of change EC, makes the controlled object have good dynamic and static performance. In order to meet the different requirements of controller parameters in the different constant of E and EC, the system can modify three parameters online in operation, and realizes the comprehensive and simulation process based on VHDL.
Publisher
Trans Tech Publications, Ltd.
Reference6 articles.
1. Ferreira P, Ribeiro P, Antunes A, et al. Artificial Neural Networks Processor: A Hardware Implementation Using a FPGA[A]. Proceeding of the 4th International Conference on Field - Programmable Logic and Applications [ C]. Anterp, (2004).
2. Murtagh P J, Tsoi A C. A Reconfigurable bit-serial VLSI Systolic Array Neuro- chip[J]. Parallel Distrib Comput, 1997, 44(1): 53-70.
3. Hikawa H. A New Digital pulse - mode Neuron with Adjustable Transfer Function[J]. IEEE Trans. Neural Networks, 2003, 14(1): 236-242.
4. Qing xinhan, wang wei. Nonlinear tracking-differentiator [J] system science and mathematics, 1994, 9 (2) : 177-183 (In Chinese).
5. Tang Feng, Design and application of FUZZY PID controller with nonlinear tracking-differentiator [D], shandong: qufu normal university, 2001. 3: 12-20 (In Chinese).