An Improved MFAC Algorithm and Simulation Research Based on Generalized Pan-Model
暂无分享,去创建一个
In this paper, an adaptive control concept based on generalized Pan-model is presented according to an improved algorithm of model-free adaptive control; For the model, time-varying parameter of the a dynamic system are described as multi characteristic ones. Simulation is implemented for the two control strategies (algorithms).The simulation result indicates that the improved algorithm can effectively get over the instability of the dynamic process; the system control output signal has excellent performance involving trackability, robustness, anti-interference and so on; and the computation amount is relatively small so that the response is more rapid.
[1] Model-free control of nonlinear stochastic systems in discrete time , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.
[2] W. Zhang,et al. Adaptive predictive functional control of a class of nonlinear systems. , 2006, ISA transactions.
[3] Philip E. Wood,et al. Experimental investigation of vinyl chloride polymerization at high conversion: mechanism, kinetics and modelling , 1991 .
[4] Leandro dos Santos Coelho,et al. Applying Particle Swarm Optimization to Adaptive Controller , 2007 .