Fuzzy Computing for Control of Aero Gas Turbine Engines .
Keywords: Fuzzy algorithms, TET datumned logic
AbstractMany methods, techniques and procedures available for designing the control system of plants and processes, are applied only after knowing accurately the plant or process to be controlled. However, in some complex situations where plants/processes cannot be accurately modelled, and especially where their control has human interaction, controller design may not be completely satisfactory. In such cases, it has been found that control decisions can be made on the basis of heuristic/linguistic measures or fuzzy algorithms. Fuzzy set principles have been used in controlling various plants/processes ranging from a laboratory steam engine to an autopilot, including an aero gas turbine engine engine for which the response of the engine speed for a fuzzy input of fuel flow has been studied. In this paper, certain stipulations and logic are suggested for the control of the total gas turbine engine. A case study of a single spool aero gas turbine engine with one of its state variables varied by heuristic logic is presented.
How to Cite
Balakrishnan, S., Mishra, S., Sundararajan, V., & Damodaran, K. (2013). Fuzzy Computing for Control of Aero Gas Turbine Engines . Defence Science Journal, 44(4), 295-304. https://doi.org/10.14429/dsj.44.4184
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