摘要
介绍了一种模糊与神经网络相结合的控制方法,借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。对复杂的具有大惯性、大迟延热工对象的仿真研究表明,该控制方法较其它控制方法不仅改善了系统的动态性能,并在一定程度上克服了热工对象的时变对控制效果影响。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error. For the thermodynamic system with large inertia and delay, the extensive simulations show that this control method improves its dynamic performance compared with the other control methods, such as Fuzzy Control and PID, and overcomes the influences of the time-dependent variation.
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2003年第1期49-52,共4页
Journal of North China Electric Power University：Natural Science Edition
