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|Title:||Self-learning neurofuzzy control of a liquid helium cryostat|
|Authors:||Tan, W.W. |
|Keywords:||Adaptive neurofuzzy control on-line training|
|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|
|Appears in Collections:||Staff Publications|
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