基于灰色预测的孵化改进模糊控制系统

Improved Fuzzy Control Based on Gray Prediction for Incubator

针对孵化过程具有的非线性、不稳定性、大滞后和多干扰等特征,提出了一种基于灰色预测的孵化改进模糊控制方法。灰色预测主要是通过预测孵化参数方便后续控制,而改进的模糊控制方法引入比例环节,克服了传统模糊控制器结构上的不足,能够较好地适应具有大延迟特性的对象。仿真结果表明了该方法的优越性和有效性。

Incubator process is a unsteady, nonlinear, big delay and multi interference process, based on the characteris- tics an improved fuzzy method based on gray prediction is proposed, The main parameters of incubator are predicted by gray prediction, proportional component is introduced by improved fuzzy controller, and the structure weaknesses of tradi- tional fuzzy controllers are overcome, which can adapt to adapt the object with a large delay. The simulation results showed the effectiveness and superiority of the method.