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基于相序优化的多相位模糊交通控制 总被引:16,自引:0,他引:16
针对单交叉路口进行模糊交通控制算法的研究.首先提出一个简化的交叉路口交通流模型,设计一种基于相序优化的模糊控制器,然后以车辆平均延误时间为控制目标,采用模糊控制器和相序优化器联合进行交通控制.前者用来决定改变当前绿灯相位的时刻,后者从相序中根据优先权的大小决定下一个放行相位.仿真研究表明,该模糊控制器能更有效地对单路口进行多相位闭环控制,控制效果令人满意. 相似文献
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提出一种面向城市交叉路口的交通信号两级模糊控制系统,其能够分散处理交通信息参数,有效减少模糊规则数,易于提取模糊规则,并实现相位顺序、绿信比和周期均随着交通状况的变化而自适应变化;并利用混沌优化对模糊控制器的隶属度函数进行优化搜索,从而提高交叉路口的通行效率,减少车辆的延误时间。 相似文献
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通过分析城市信号交叉路口交通流的复杂性,我们得出模糊控制方法在单个交叉路口的控制特性更为适应交通流的不确定性、随机性和突发性。但是在将模糊控制理论引入绿波协调控制中去,对多个交叉路口设计模糊控制器时,不可避免的造成模糊逻辑的爆炸性增长以及控制效果的直线下降。本文结合模糊控制算法和粒子群优化算法,提出一种对多交叉路口进行全局优化的控制策略,使用粒子群算法对全局性能参数进行优化,在保证单个交叉路口控制效果不变的情况下,在交通路面上形成整体平均等待时间最小的绿波带。 相似文献
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基于车辆检测技术的智能交通控制器设计 总被引:1,自引:0,他引:1
针对复杂多变的交叉路口交通流信号灯控制问题设计了一种基于感应式车辆检测技术的多相位智能交通控制器.该控制器支持6种控制算法,可实现8种工作模式,能满足大部分复杂类型交叉路口的控制需求.同时,控制器具有绿冲突和故障检测功能,以及在故障情况下的降级处理机制,从而在最大程度上保证交通的安全和畅通.提出了一种基于车辆等待长度的单路口多相位交通信号灯自适应控制策略,该算法在保证交通畅通的情况下,使车辆延误时间尽可能的短.该控制器目前已在杭州等地进行了实际应用,结果令人满意. 相似文献
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由于模糊逻辑能够较好地描述复杂系统的定性模型,因此非常适合应用于路口交通信号灯的控制。采用了一种双层模糊控制器对路口信号灯进行控制,给出了控制方法及控制规则,在单片机模拟装置上进行仿真,结果表明它可以有效改善交叉路口的通行能力。 相似文献
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交通控制信号优化模型的仿真研究 总被引:1,自引:0,他引:1
研究交叉路口车流量数据采集和统计分析,针对交通系统缺乏精确数学模型的问题,为了提高控制效果,提出了多相位交通信号绿灯配时的模糊控制方法和进化算法的递阶模糊控制器的优化控制.构建了相应的模糊控制规则和控制器,使用进化算法对模糊控制器所作出的决策进行动态调整.控制过程对采用以车辆平均延误为目标函数,在模糊控制器做出判决的基础上,对控制规则的调整量进行了全局寻优,加快了收敛速度.通过对一个四相位交叉口进行仿真,结果表明控制效果有明显的改善. 相似文献
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一种基于人工免疫原理的最优模糊神经网络控制器 总被引:1,自引:0,他引:1
提出了一种基于人工免疫原理的最优RBF模糊神经网络控制器设计方案.首先给出了控制器结构,其次将免疫进化算法用于控制器参数的优化,设计了一种满足二次型性能指标的最优RBF模糊神经网络控制器.将该控制器用于控制实际倒立摆系统,并采用状态变量合成方法以大大减少模糊规则的数目,实验结果验证了该控制器的有效性. 相似文献
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一种新型模糊非线性PID控制器 总被引:4,自引:0,他引:4
采用一维输入一维输出的模糊映射关系与传统PID控制器相级联的方式,构成一个模糊非线性PID控制器以提高现有PID控制器的性能.一维模糊控制器无需选择与调整量化因子和比例因子,采用五条规则,易于实现.数值仿真和误差泛函积分评价指标表明,所提出的模糊非线性PID控制器比现有控制器具有更好的动静态性能. 相似文献
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用B样条神经网络设计自适应模糊控制器* 总被引:6,自引:1,他引:5
本文提出一种可用于设计自适应模糊控制器的模化B样条神经网络,并给出了合适的训练算法。由于这种网络在每次训练时仅需对少量权重进行调整,因此构成的模糊控制器学习速率快,可应用于过程控制中。本文最后以电厂中过热汽温的控制为例,说明本文的设计方法是有效的。 相似文献
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This paper suggests a new fuzzy adaptive controller, which is able to solve the problems of classical adaptive controllers and conventional fuzzy adaptive controllers. It explains the architecture of a fuzzy adaptive controller using the robust property of a fuzzy controller. The basic idea of new adaptive control scheme is that an adaptive controller can be constructed with parallel combination of robust controllers. This new adaptive controller uses a multirule-base architecture which has several independent fuzzy controllers in parallel, each with different robust stability area. Out of several independent fuzzy controllers, the most suited one is selected by a system identifier which observes variations in the controlled system parameter. Here, we propose a design procedure which can be carried out mathematically and systematically from the model of a controlled system; related mathematical theorems and their proofs are also given. The performance of the proposed adaptive control algorithm is analyzed through a design example and a DC motor control simulation 相似文献
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Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms 总被引:2,自引:2,他引:0
O. Castillo P. Melin A. Alanis O. Montiel R. Sepulveda 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2011,15(6):1145-1160
A method for designing optimal interval type-2 fuzzy logic controllers using evolutionary algorithms is presented in this paper. Interval type-2 fuzzy controllers can outperform conventional type-1 fuzzy controllers when the problem has a high degree of uncertainty. However, designing interval type-2 fuzzy controllers is more difficult because there are more parameters involved. In this paper, interval type-2 fuzzy systems are approximated with the average of two type-1 fuzzy systems, which has been shown to give good results in control if the type-1 fuzzy systems can be obtained appropriately. An evolutionary algorithm is applied to find the optimal interval type-2 fuzzy system as mentioned above. The human evolutionary model is applied for optimizing the interval type-2 fuzzy controller for a particular non-linear plant and results are compared against an optimal type-1 fuzzy controller. A comparative study of simulation results of the type-2 and type-1 fuzzy controllers, under different noise levels, is also presented. Simulation results show that interval type-2 fuzzy controllers obtained with the evolutionary algorithm outperform type-1 fuzzy controllers. 相似文献
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C. W. Tao 《国际智能系统杂志》2001,16(12):1393-1417
To reduce the complexity of PID‐like fuzzy controllers with three inputs, designs and analyses of various fuzzy controllers with region‐wise linear PID subcontrollers are presented in this paper. The proposed region‐wise linear PID subcontrollers are composed of one dimensional fuzzy mechanism. And the triangular‐type membership functions are adopted for the input variables of the fuzzy controllers. All the possible structures of fuzzy controllers with region‐wise linear PID subcontrollers are discussed. According to the number of one‐dimensional fuzzy mechanisms included in the structure of the fuzzy controllers, the fuzzy controllers are classified into three main categories. An algorithm is provided to construct effective fuzzy controllers with lowest complexity among all the possible structures. Also, the properties of various designs of fuzzy controllers with region‐wise linear PID subcontrollers are compared. The simulation results are included to demonstrate the performances of three basic types of proposed fuzzy controllers with the linear, nonlinear, and delayed plants. © 2001 John Wiley & Sons, Inc. 相似文献
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区间二型模糊控制器的降型算法需要使用迭代计算,是导致其解析结构推导困难的主要原因.针对乘积型区间二型模糊控制器,本文提出了一种新的解析结构推导方法.区间二型模糊控制器的配置为:三角形输入模糊集,一型输出模糊单值,集合中心法降型器,平均法解模糊器和基于乘积型"与"操作的规则前件.通过对比传统PID控制器的解析结构,证明了区间二型模糊控制器等效于两个PI(或PD)控制器之和.利用KM算法的迭代终止条件,提出了6步骤IC划分法,保证了激活子空间的正确划分.叠加各个子空间,即可得出全局IC划分图.为了避免重复求解符号数学方程,提出了IC边界线的直接定义法,改进了6步骤IC划分法的便利性.本文方法避开了降型算法的迭代计算,可以保证推导出区间二型模糊控制器的闭环解析表达式. 相似文献
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Methodological development of fuzzy-logic controllers frommultivariable linear control 总被引:1,自引:0,他引:1
Tso S.K. Fung Y.H. 《IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics》1997,27(3):566-572
It is the function of the design of a fuzzy-logic controller to determine the universes of discourse of the antecedents and the consequents, number of membership labels, distribution and shape of membership functions, rule formulation, etc. Much of the information is usually extracted from expert knowledge, operator experience, or heuristic thinking. It is hence difficult to mechanize the first-stage design of fuzzy-logic controllers using linguistic labels whose performance is no worse than that of conventional multivariable linear controllers such as state-feedback controllers, PID controllers, etc. In this paper, an original systematic seven-step linear-to-fuzzy (LIN2FUZ) algorithm is proposed for generating the labels, universes of discourse of the antecedents and the consequents, and fuzzy rules of ;basically linear' fuzzy-logic controllers, given the reference design of available conventional multivariable linear controllers. The functionally equivalent fuzzy-logic controllers can thus provide the sound basis for the further development to achieve performance beyond the capability or the conventional controllers. The validity and effectiveness of the proposed LIN2FUZ algorithm are demonstrated by a four-input one-output inverted pendulum system. 相似文献
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