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模糊免疫PID控制器的设计与仿真 总被引:22,自引:5,他引:22
针对模糊控制系统设计复杂,实验数据调整繁琐的现象,设计了一种模糊自调整免疫PID控制器,该控制器结构简单,参数调整方便,快捷,并成功应用于冷轧带钢的厚度自动控制系统中。借助MATLAB的模糊控制工具箱和SMULINK仿真工具对其进行的仿真实验表明,该控制器的控制性能远优于常规的PID控制器,为冷轧带钢厚度精度的提高提供了一种新的尝试。 相似文献
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介绍了带钢厚度控制系统的基本原理及系统组成,给出了柳钢1550mm冷轧带钢厚度控制系统的总体结构,阐述了该系统的调试过程及实际应用效果. 相似文献
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魏德米勒电联接国际贸易 《自动化博览》2009,26(2):84-86
随着市场经济的飞速发展,汽车、仪器仪表、无线电、国防及航空航天工业等尖端技术领域对带钢的品种、规格、性能和质量不断提出更高的要求,在带钢生产上冷轧较热轧更能满足各行各业发展的需要。当生产厚度减小到一定尺寸的薄带钢时,大多数都采用冷轧方式。现代带钢生产,大多是热轧后又进行冷轧,为提高带钢表面质量、改善力学性能和获得精确的尺寸偏差提供了保证。 相似文献
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《国内外机电一体化技术》2010,(6):50-51
前言随着市场经济的飞速发展,汽车、仪器仪表、无线电、国防及航空航天工业等尖端技术领域对带钢的品种、规格、性能和质量不断提出更高的要求,在带钢生产上冷轧较热轧更能满足各行各业发展的需要。当生产厚度减小到一定尺寸的薄带钢时,大多数都采用冷轧方式。现代带钢生产,大多是热轧后又进行冷轧,为提高带钢表面质量、改善力学性能和获得精确的尺寸偏差提供了保证。 相似文献
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针对传统的方法在冷轧带钢表面缺陷图像模式识别中存在的问题,提出了基于小波变换和遗传算法的模式识别方法。结合国内实例,对四种典型冷轧带钢表面缺陷图像进行了实验研究,实验结果表明,该识别方法能够对冷轧带钢表面缺陷图像进行有效识别。另外,还对识别率与训练样本数量的关系进行了研究。 相似文献
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针对带钢连续轧制过程中的带钢跑偏问题,文章提出了一种带钢卷取机跑偏电液伺服系统PID控制器的设计方案。在介绍带钢卷取机跑偏电液伺服系统的基础上,通过静态计算,建立了该系统的数学模型;根据带钢卷取机跑偏电液伺服系统的开环传递函数及不同的控制量组合,分别设计了比例控制器、比例积分控制器和比例微分控制器,并采用Matlab软件仿真并分析了各控制器作用下系统的阶跃响应性能,根据各时域响应指标评定并确定了PID控制器的参数值。由PID控制器作用下系统的阶跃响应波形及系统开、闭环波德图得出,该PID控制器超调小、调节时间短、响应快、性能稳定;对带钢卷取机跑偏电液伺服系统的稳态误差进行分析后得出,该系统的稳态误差为零,由此证明了该PID控制器的有效性和正确性。 相似文献
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带钢轧制是一个复杂的非线性过程,轧辊偏心是高精度冷轧机厚度控制不能忽视的问题。当带钢原料性质、处理量变化等也会导致过程模型发生变化。该文提出一种基于重复控制进行偏心补偿、鲁棒PID控制器对模型不确定性不敏感的带钢厚度控制系统。重复控制是基于内模原理的一种新型控制策略,优点是对周期信号的初始状态没有要求,对轧辊偏心扰动有很强的抑制力;鲁棒PID采用基于最小-最大原理的参数整定方法,对于过程模型在一定变化范围内,控制器具有良好的控制性能。仿真结果证明:系统具有良好的跟随和抗扰性能,表明这种混合控制方法有一定的适用性。 相似文献
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以四轮移动机器人为研究对象,建立了机器人完整的数学模型,包括运动学模型、动力学模型以及驱动电机模型。在机器人数学模型的基础上,采用反步法的思想设计具有全局收敛特性的鲁棒轨迹跟踪控制器,设计中考虑了驱动电机模型使控制器更符合实际控制要求,并将其分解为运动学控制器、动力学控制器以及电机控制器三部分,降低了控制器设计的难度。构造了系统的李雅普诺夫函数,证明了该类型移动机器人在所得控制器作用下,能实现对给定轨迹的全局渐近追踪。仿真实验结果表明基于反步法的控制器是有效的。 相似文献
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YUAN-HWANG CHEN 《International journal of systems science》2013,44(11):2033-2041
In the design of a control system, the derivative controller is often required to obtain a quick response. However, when the control system is subject to noise inputs, the functioning of the derivative controller may be jeopardized owing to its sensitivity to high-frequency noise. In order to overcome this problem, a new type of controller, called the proportional-integral-minus-delay (PIMD) controller is proposed in this paper. It is shown that in addition to exhibiting almost the same characteristics as the conventional proportional-plus-integral-plus-derivative (PID) controller, the PIMD controller is less sensitive to high-frequency noise. It seems that an appropriate PIMD controller would be a good replacement for a PID controller. The output time responses of the closed-loop system with a PIMD controller and the frequency-response characteristics of a PIMD controller are obtained by computer simulation. 相似文献
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一种新颖的模糊自调整免疫反馈控制系统 总被引:69,自引:0,他引:69
针对低阶或高阶对象,提出一种新颖的基于生物免疫系统反馈机理的通用控制器结构。该控制器包括一个基本的P型免疫反馈控制器的一个增量模块,P免疫反馈规律由模糊控制器自动调整,激光热疗法中组织温度控制的计算机仿真结果表明,该控制器的控制性能优于常规控制器。 相似文献
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Julius A.A. Polderman J.W. van der Schaft A. 《Automatic Control, IEEE Transactions on》2008,53(4):1032-1036
We study control problems for linear systems in the behavioral framework. Our focus is a class of regular controllers that are equivalent to the canonical controller. The canonical controller is a particular controller that is guaranteed to solve the control problem whenever a solution exists. However, it has been shown that, in most cases, the canonical controller is not regular. The main result of the note is a parametrization of all regular controllers that are equivalent to the canonical controller. The parametrization is then used to solve two control problems. The first problem is related to designing a regular controller that uses as few control variables as possible. The second problem is to design a regular controller that satisfies a predefined input-output partitioning constraint. In both problems, based on the parametrization, we present algorithms for designing the controllers. 相似文献
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This paper is to propose a direct-action (DA) cerebellar model articulation controller (CMAC) proportional-integral-derivative (PID) controller. The proposed controller, termed the DAC-PID controller, can generate four simple types of the nonlinear functions and then determine a control effort from those functions to control the process. In addition, the real-coded genetic algorithm is used to tune the parameters of the DAC-PID controller such that we can optimize those parameters. The performance of the proposed controller is also discussed in the sense of quantitative analysis. Simulation results demonstrate that the DAC-PID controller is superior to the conventional PID controller tuned by Ziegler–Nichols method and, moreover, as better as the optimal PID controller and the optimal fuzzy-PID controller. 相似文献
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《Expert systems with applications》2014,41(2):607-615
This paper presents adaptive cruise control of a hybrid electric vehicle. First, the mathematical model of the vehicle is formulated. Next, a classical controller is applied to the vehicle model. Swarm optimisation is implemented for self parameter tuning of the controller. The model is simulated and the result of the response to a variable speed is analysed. The results reveal that the controller is not a powerful means to manage the rapid transformation of the desire set point. Accordingly, a sliding mode controller is developed next. The performance of this controller is compared with the classical controller. 相似文献
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We recently developed, as an alternative to the PID controller, a novel 4-mode control scheme that takes full advantage of modern electronic hardware components, and whose tuning parameters are directly related to controller performance attributes (robustness, set-point tracking, and disturbance rejection); its achievable performance is better than that of the PID controller, and it can be designed and implemented much more directly and transparently. In this companion paper we present robust stability results for the proposed controller, for any given plant/model mismatch; these results are then used to generate simple tuning rules for the controller. The effect of noise on controller performance is explicitly considered and modified tuning rules are proposed for excessively noisy processes. The controller tuning results and procedure are then illustrated via experimental testing and validation. First, water level control in a simple laboratory scale process is used to illustrate the design, tuning, and implementation of the RTDA controller. We use this process primarily to evaluate the controller performance and illustrate how the tuning parameters influence, directly and independently, the controller performance attributes. The controller is then implemented on a pilot-scale physical vapor deposition process to demonstrate its performance on a more complicated process that is prototypical of 21st century manufacturing. We demonstrate that the proposed controller achieves improved performance with minimal tuning effort. 相似文献
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The theory of games is applied to the design of systems with unknown plant parameters. It is assumed that a controller structure is known and furthermore that this controller is optimal when the controller parameters are equal to the plant parameters. The performance index then becomes a function of plant and controller parameters. This function is treated as a pay-off function with the antagonists represented by the controller and plant parameters. The theory is illustrated with some simple samples. 相似文献
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免疫最优PID控制器设计与应用 总被引:1,自引:0,他引:1
以基于欧氏距离和精英交叉的人工免疫算法(DKBAIA)为基础,提出了一种新的最优PID控制器的设计方法。这种方法的核心是以ITAE性能准则为目标函数,采用DKBAIA去调整和优化PID控制器参数,以获得最优的目标函数值,进而获得最优的PID控制器。所设计的这种控制器称为DKBAIA—PID控制器。将该控制器用于控制智能仿生人工腿的执行电机中,并进行计算机仿真实验,结果表明:这种基于免疫算法的最优PID控制器具有良好的动态和稳态性能。 相似文献