期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2014
卷号：4
期号：4
页码：87-91
出版社：International Journal of Soft Computing & Engineering
摘要：Biologically inspired algorithms are attracting lot of researchers in recent decades. Particle swarm optimization is a recent algorithm based on the movement and intelligence of swarms. This paper proposes an application of Multi Objective Particle Swarm Optimization (MOPSO) for tuning the Model Reference Adaptive Controller (MRAC) for a non-linear Boiler- Turbine system. The Boiler-turbine system is a Multi Input Multi Output (MIMO) system which is non-linear in nature and hence MOPSO is used to obtain the solution. This paper proposes a new approach combining a priority based lexicography method and the overall error for tuning the parameters of swarm in order to get the best optimal solution. The model was developed using MATLAB simulink tool and the results were compared.
