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https://doi.org/10.1016/S0967-0661(99)00096-9
Title: | Self-learning neurofuzzy control of a liquid helium cryostat | Authors: | Tan, W.W. Dexter, A.L. |
Keywords: | Adaptive neurofuzzy control on-line training | Issue Date: | Oct-1999 | Citation: | Tan, W.W., Dexter, A.L. (1999-10). Self-learning neurofuzzy control of a liquid helium cryostat. Control Engineering Practice 7 (10) : 1209-1220. ScholarBank@NUS Repository. https://doi.org/10.1016/S0967-0661(99)00096-9 | Abstract: | The paper demonstrates that a self-learning neurofuzzy controller is able to regulate the temperature in a liquid helium cryostat. In order to simplify the task of commissioning the controller, a strategy for choosing the user-selected parameters from an equivalent proportional-plus-integral controller (PI) is derived. Experimental results which illustrate the potential of the proposed control scheme are presented. The performance of the self-learning neurofuzzy controller is also compared with that of a commercial gain-scheduled PI controller. | Source Title: | Control Engineering Practice | URI: | http://scholarbank.nus.edu.sg/handle/10635/62745 | ISSN: | 09670661 | DOI: | 10.1016/S0967-0661(99)00096-9 |
Appears in Collections: | Staff Publications |
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