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- W5233606 abstract "In this paper, a methodology for estimating the model parameters of a discrete-time system and tuning a digital PID controller based on the estimated model and a genetic algorithm is presented. To deal with optimization problems regarding parameter estimation and controller tuning, pseudo-parallel genetic algorithms(PPGAs) are used. The parameters of a discrete-time system are estimated using both the model adjustment technique and a PPGA. The digital PID controller is described by the pulse transfer function and then its three gains are tuned based on both the model reference technique and another PPGA. A set of experimental works on two processes are carried out to illustrate the performance of the proposed method." @default.
- W5233606 created "2016-06-24" @default.
- W5233606 date "2006-07-01" @default.
- W5233606 modified "2023-10-18" @default.
- W5233606 title "System Parameter Estimation and PID Controller Tuning Based on PPGAs" @default.
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- W5233606 doi "https://doi.org/10.5302/j.icros.2006.12.7.644" @default.
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