论文信息 - Neuro-genetic PID autotuning

Neuro-genetic PID autotuning

A new PID autotuning technique, involving neural networks and genetic algorithms is proposed. The validity of this approach is shown, through the results of several experiments. Special attention is given to the off-line training of one of the auto-tuner models, the criterion networks. Procedures used to obtain good training data are described.

[1] António E. Ruano,et al. Neuro-genetic PID autotuning: time invariant case , 2000 .

[2] Martin Brown,et al. Neurofuzzy adaptive modelling and control , 1994 .

[3] Peter J. Fleming,et al. A connectionist approach to PID autotuning , 1991 .

[4] Peter J. Fleming,et al. Accelerating multi-objective control system design using a neuro-genetic approach , 2000 .

[5] Karl Johan Åström,et al. PID Controllers: Theory, Design, and Tuning , 1995 .

[6] António E. Ruano,et al. Neural networks PID autotuning with real-time adaptation , 2000 .

[7] Rosbi Mamat,et al. Comparison of alternative approaches to neural network PID autotuning , 1996 .

[8] António E. Ruano,et al. Comparison of off-line and on-line performance of alternative neural network models , 2000 .