摘要
针对电梯群控的多目标性、非线性、不确定性,综合考虑了电梯运行的评价标准、神经网络和模糊控制的特性。用神经网络的学习机制为模糊控制器自动提取模糊规则、调整模糊规则提供智能化基础,提高了电梯群控的智能性,使电梯应答更趋合理,防止群控电梯聚堆和忙闲不均情况的发生,大大减少了平均候梯时间和长候梯率。仿真实验及初步应用结果表明这种电梯调度方法是有效的。
Confronted with multiple objects etc. of the elevator group control system. We present an evolutionary modern method based on Artificial Neural Net ＆ Fuzzy Logical, This method improves the intelligence of group elevator and prevents gathering of elevator. The way reduces average waiting time and ratio of long waiting time. Emulation of the way shows the application of the way in the group elevator is workable.
出处
《机电工程》
CAS
2005年第9期18-20,共3页
Journal of Mechanical & Electrical Engineering
关键词
神经网络
模糊控制
电梯群控
neural net
fuzzy control
elevator group control
