Parameter tuning of boiler thermal process based on SVM neural net optimisation
by He Peng
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 9, No. 3/4, 2017

Abstract: Because of complex characteristics, such as multivariable coupling in boiler thermal process of circulating fluid bed, parameter turning, there is relatively large difficulty in automatic accurate control so that a kind of self-adaptive controller algorithm is put forward. Fuse fuzzy control and equivalent method of BP neural net usage structure to fuzzy BP neural net and bring in weight of genetic algorithm optimisation BP neural net by aiming at defects, such long convergence time of neutral net and realise self-adaptive accuracy control to boiler thermal process of circulating fluid bed by feed-forward compensation decoupling device. It is showed from experiment results that the algorithm can adapt to working condition of variable parameter boiler thermal process of circulating fluid bed and it has realised uncoupling of bed temperature and main steam pressure.

Online publication date: Tue, 27-Feb-2018

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