Parameter tuning of boiler thermal process based on SVM neural net optimisation. (2017)

• Record Type: Journal Article
• Authors: Peng, He
• Is Part Of: International journal of reasoning-based intelligent systems. Volume 9:Number 3/4(2017)
• Page Start: 157
• Page End: 161
• Publication Date: 2017
• Subjects: boiler thermal process of circulating fluid bed -- thermal self-adaptive control -- fuzzy control -- BP neural net -- genetic algorithm; Artificial intelligence -- Periodicals; Reasoning -- Periodicals; 006.3
• Languages: English
• ISSNs: 1755-0556

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.