基于最小二乘支持向量机的生物质发电气化过程建模

Study on the Gasification Process Model of Biomass Power Generation Based on Least Square Support Vector Machine

采用动力学方法进行生物质发电的气化过程建模需要许多物性参数,而这些参数往往难以获得。针对机理建模的这些缺陷,考虑直接基于实验数据进行气化建模,提出了基于最小二乘支持向量机的建模方法,给出了相应的系统结构和算法,用实验数据进行验证取得了很好的预测效果。通过和实际数据的比较,仿真结果证明该方法具有很好的性能指标,能为现场生物质发电气化过程的控制与优化提供一定的参考依据。

The gasification process modeling of biomass power generation based on dynamic method needs a lot of parameters, but these parameters are usually not easy to get. One modeling method based on least square support vector machine （LS-SVM） which directly using the experimental data was presented to overcome the weaknesses of mechanism modeling, the system structure and algorithm were given, the experimental results prove the precision of this model. Compared with the experimental data, the simulation results showed that this method has good performance, it can provide controling and optimization reference to the gasification process of biomass power generation.