The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Design of optimal disturbance rejection PID controllers using genetic algorithms
Abstract
This paper presents a method to design an optimal disturbance rejection PID controller. First, a condition for disturbance rejection of a control system-H/sub /spl infin//-norm-is described. Second, the design is formulated as a constrained optimization problem. It consists of minimizing a performance index, i.e., the integral of the time weighted squared error subject to the disturbance rejection constraint. A new method employing two genetic algorithms (GA) is developed for solving the constraint optimization problem. The method is tested by a design example of a PID controller for a servomotor system. Simulation results are presented to demonstrate the performance and validity of the method.
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Cites
Evolutionary computation: Comments on the history and current state
Back, T., Hammel, U., & Schwefel, H.-P. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585888 · Cited by 1,536 · cited 1×
“Representation In the real-coded representation, each individual is coded as a vector of floating-point numbers (a similar approach could be taken with evolution strategies or evolutionary programming [9]).”
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Cited by
Das, D. C., Roy, A. K., & Sinha, N. (2012) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2012.05.025 · Cited by 522
Metadata
- Authors
- Krohling, R. A., & Rey, J. P.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2001
- Volume
- 5
- Issue
- 1
- Pages
- 78-82
- ISSN
- 1089-778X (ISSN-L)
- OpenAlex
- W2168013035
- Cited by
- 418
- References
- 1
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Krohling, R. A., & Rey, J. P. (2001). Design of optimal disturbance rejection PID controllers using genetic algorithms. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/4235.910467
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