Title: Parameter tuning of boiler thermal process based on SVM neural net optimisation
Authors: He Peng
Addresses: Training Center of State Grid Anhui Electric Power Corporation, Hefei 230022, China; Anhui Electrical Engineering Professional Technique College, Hefei 230051, China
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.
Keywords: boiler thermal process of circulating fluid bed; thermal self-adaptive control; fuzzy control; BP neural net; genetic algorithm.
International Journal of Reasoning-based Intelligent Systems, 2017 Vol.9 No.3/4, pp.157 - 161
Received: 18 May 2017
Accepted: 07 Jun 2017
Published online: 27 Feb 2018 *