流化床压力波动混沌预测

CHAOS PREDICTION OF PRESSURE FLUCTUATION IN FLUIDIZED BED

基于混沌理论 ,通过建立重构相空间轨迹演化的离散动力学映射方程 ,提出了流化床压力波动预测方法 ,以流化床压力波动时间序列反演系统动力学行为 .对比了模型产生的压力波动时间序列和实验测得的压力波动时间序列的混沌特征参数 :关联维、Kolmogorov熵和Lyapunov指数谱 ,两组非线性混沌特征参数趋于一致 ,说明该模型能捕获系统的非线性动力学特征 .并研究了压力波动预测指数分离过程的长期不可预测性 .

On the basis of chaos theory and the assumption that deterministic map equation can be used to describe discrete dynamics of trajectory evolution in reconstructed phase space, a model is developed for predicting pressure fluctuation in fluidized bed. Comparison between the chaotic invariants (Correlation dimension, Kolmogorov entropy, the spectrum of Lyapunov exponents) of measured and model generated time series of pressure fluctuation shows that they are nearly the same. So, the model has captured some important nonlinear dynamic characteristics of the real system. The long-term unpredictability of pressure fluctuation and its exponent separation were also studied .