Automatic synthesis using genetic programming of an improved general-purpose controller for industrially representative plants

Most real-world controllers are composed of proportional, integrative, and derivative Signal processing blocks. The so-called PID controller was invented and patented by A. Callender and A.B. Stevenson (1939). Later J.G. Ziegler and N.B. Nichols (1942) developed mathematical rules for automatically...

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Main Authors: Keane, M.A., Koza, J.R., Streeter, M.J.
Format: Conference Proceeding
Language:English
Subjects:
Automatic control
Genetic programming
Industrial control
PD control
Proportional control
Signal processing
Signal synthesis
Three-term control
Topology
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Koza, J.R.
Streeter, M.J.
description Most real-world controllers are composed of proportional, integrative, and derivative Signal processing blocks. The so-called PID controller was invented and patented by A. Callender and A.B. Stevenson (1939). Later J.G. Ziegler and N.B. Nichols (1942) developed mathematical rules for automatically selecting the parameter values for PID controllers. In their influential book, K.J. Astrom and T. Hagglund (1995) developed a world-beating PID controller that outperforms the 1942 Ziegler-Nichols rules on an industrially representative set of plants. In this paper, we approached the problem of automatic synthesis of a controller using genetic programming without requiring in advance that the topology of the plant be the conventional PID topology. We present a genetically evolved controller that outperforms the automatic tuning rules developed by Astrom and Hagglund in 1995 for the industrially representative set of plants specified by Astrom and Hagglund.
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subjects Automatic control
Genetic programming
Industrial control
PD control
Proportional control
Signal processing
Signal synthesis
Three-term control
Topology
title Automatic synthesis using genetic programming of an improved general-purpose controller for industrially representative plants
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