直接型模糊自适应滑模控制在智能减振结构中的应用

在智能减振结构中,需要控制器有很好的鲁棒性,以保证在结构参数发生变化的情况下仍可以获得理想的控制结果。简单模糊逻辑控制在系统结构参数变化比较大的情况下,其鲁棒性能比较差。引入滑模控制的思想,把基本控制量分为等效控制量和开关控制量,并同时用两个模糊逻辑进行近似逼近,自适应率的设计保证了系统的稳定性,从而建立了直接型模糊自适应滑模控制。通过和简单模糊控制的控制结果比较,验证了直接型模糊自适应滑模控制在智能减振系统中的有效性。     

宽带振动主动控制的模糊自适应控制方法

由于广泛采用的自适应滤波－X LMS算法只限于线性问题，针对振动主动控制中存在的一些非线性问题，文中利用模糊逻辑系统能够逼近非线性系统的特性，提出一种模糊适应前馈主动控制方法，解决由于传感通道的非线性使得参考信号与外扰间呈非线性函数关系的主动控制问题。针对复合材料梁振动控制的数值仿真计算结果表明，该非线性模糊自适应控制方法的有效性。     

热轧立辊电液伺服系统的自适应模糊控制

以热轧立辊为研究背景,针对其液压伺服系统存在的非线性、参数不确定性以及负载干扰等特点,基于模糊基函数网络提出一种自适应控制方法.首先将非线性系统线性化并将其作为已知系统,利用这部分已知的动态特性设计反馈控制使标称系统稳定.然后利用模糊基函数网络仅学习非线性系统不确定性的上界,将输出作为补偿控制器的参数,并在Lyapunov稳定意义下构造自适应控制器,该自适应控制器不仅确保了闭环系统的鲁棒性而且加快了跟踪误差的收敛速度.将该控制器应用于某热轧立辊电液位置伺服系统中进行仿真研究,结果表明,该控制器优于传统的PID控制器,可以取得较好的控制效果.     

自适应交互PID在液压伺服系统中的应用

自适应交互算法实现简单,能够在未知系统模型的前提下完成控制参数梯度递减,使系统控制性能趋向优化。将自适应交互算法引入到传统的PID控制器中,构成一种自适应交互PID控制器,将该控制器应用到宝钢2050粗轧液压立辊压下系统中,结果表明在外界扰动和系统工况发生变化时,该控制器能够自适应调节控制器参数,使控制系统取得满意的控制效果。     

OPTIMAL DESIGN OF A FUZZY LOGIC CONTROLLER FOR CONTROL OF A CEMENT MILL PROCESS BY A GENETIC ALGORITHM

The knowledge base of a fuzzy logic controller (FLC) encapsulates expert knowledge and consists of database (membership functions) and rule base of the controller. Optimization of both of these knowledge base components is critical to the performance of the controller and has traditionally been achieved through a process of trial and error. Such an approach is convenient for FLCs having low numbers of input variables; however for greater numbers of inputs, more formal methods of knowledge base optimization are required. Genetic algorithms (GAs) provide such a method to optimize the FLC parameters to be globally optimum. The FLC is optimized by GA for varying nonlinearity and set point in the plant. The proposed control algorithm was studied on the cement mill simulation model and with a real cement mill model using MATLAB and Simulink environments. Parameters of the simulation model were set up based on the actual cement mill characteristics. The performance of the proposed control technique is compared with various other control techniques. The results of the control study indicate that the proposed algorithm can fully prevent the mill from plugging and can control the cement mill circuit more effectively.     

液压驱动Stewart平台非线性自适应控制器设计

电液驱动Stewart平台具有高度非线性特性,且各个通道之间存在严重的负载交联耦合,影响了仿真模拟器运动的平滑性和逼真度.以往这种系统的控制器大都是以驱动分支作为被控对象进行设计的,忽略了各个通道之间负载交联耦合的影响,导致系统控制精度的降低,严重时甚至可能造成系统的不稳定.针对上述问题,提出以动平台为被控对象,根据动平台动力学方程设计一种基于加速度鲁棒观测器的非线性自适应控制器的方法,通过Lyapunov方法证明该控制算法具有渐进稳定性.试验表明提出的控制算法在提高平台控制精度和抑制通道间负载交联耦合方面的效果较理想.     

HYDRAULIC ACTIVE GUIDE ROLLER SYSTEM FOR HIGH-SPEED ELEVATOR BASED ON FUZZY CONTROLLER

Increase of elevator speed brings about amplified vibrations of high-speed elevator. In order to reduce the horizontal vibrations of high-speed elevator, a new type of hydraulic active guide roller system based on fuzzy logic controller is developed. First the working principle of the hydraulic guide system is introduced, then the dynamic model of the horizontal vibrations for elevator cage with active guide roller system and the mathematical model of the hydraulic system are given. A fuzzy logic controller for the hydraulic system is designed to control the hydraulic actuator. To improve the control performance, preview compensation for the controller is provided. Finally, simulation and experiments are executed to verify the hydraulic active guide roller system and the control strategy. Both the simulation and experimental results indicate that the hydraulic active guide roller system can reduce the horizontal vibrations of the elevator effectively and has better effects than the passive one, and the fuzzy logic controller with preview compensation can give superior control performance.     

Indirect adaptive fuzzy wavelet neural network with self- recurrent consequent part for AC servo system

This paper proposes a novel indirect adaptive fuzzy wavelet neural network (IAFWNN) to control the nonlinearity, wide variations in loads, time-variation and uncertain disturbance of the ac servo system. In the proposed approach, the self-recurrent wavelet neural network (SRWNN) is employed to construct an adaptive self-recurrent consequent part for each fuzzy rule of TSK fuzzy model. For the IAFWNN controller, the online learning algorithm is based on back propagation (BP) algorithm. Moreover, an improved particle swarm optimization (IPSO) is used to adapt the learning rate. The aid of an adaptive SRWNN identifier offers the real-time gradient information to the adaptive fuzzy wavelet neural controller to overcome the impact of parameter variations, load disturbances and other uncertainties effectively, and has a good dynamic. The asymptotical stability of the system is guaranteed by using the Lyapunov method. The result of the simulation and the prototype test prove that the proposed are effective and suitable.     

深冷处理系统的自适应模糊PID控制方法研究

深冷处理能极大提高工模具的耐磨性,延长其使用寿命。本文介绍了使用液氮做冷源的深冷处理控制系统的构成。由于该类型冷源的压力波动不能精确控制,影响深冷处理的效果,因此笔者提出了深冷处理系统的模糊PID的自适应控制方法。实验表明:在外界条件稳定时,模糊PID控制器同普通PID控制器效果相当,但在外界条件发生变化时,模糊PID控制器具有更快的响应速度和更好的控制精度。     

基于模糊控制的气缸位置控制系统仿真研究

应用模糊自适应PID控制的方法,建立了模糊控制器,对气缸位置控制系统进行了仿真。仿真证明,模糊自适应PID控制能够精确、稳定、快速地定位。     

基于模糊自适应控制的无轴承异步电动机SVM-DTC运行控制

提出了一种基于模糊自适应控制的无轴承异步电动机的空间矢量调制的直接转矩控制策略。通过模糊控制算法得到磁链和转矩的控制电压分量,实现了两个电压矢量的实时调整,解决了采用传统PI控制器所带来的脉动较大的问题。并利用Matlab/simulink仿真软件,分别建立基于模糊自适应控制的空间矢量调制的直接转矩控制系统和双PI控制的空间矢量调制的直接转矩控制系统模型。仿真结果表明,改进后的算法可以更好地抑制转矩、磁链的脉动及转速超调,提高系统的动态性能。     

ADAPTIVE CONTROLLER AND ITS APPLICATION IN FORCE SYSTEM OF ASYMMETRIC CYLINDER CONTROLLED BY SYMMETRIC VALVE

Partial pressure, system vibration and asymmetric system dynamic performance exit in asymmetric cylinder controller by symmetric valve hydraulic system. To solve this problem in the force control system, model reference adaptive controller is designed using equilibrium point stability theory and output error equation polynomial. The reference model is selected in such a way that it meets the system dynamic performance. Hardware configuration of asymmetric cylinder controlled by asymmetric valve hydraulic system is replaced by intelligent control algorithm, thus the cost is lowered and easy to application. Simulation results demonstrate that the proposed adaptive control sheme has good adaptive ability and well solves asymmetric dynamic performance problem. The designed adaptive controller is fairly robust to load disturbance and system parameter variation.     

模糊自适应整定PID控制及其仿真

将模糊控制器与PID控制器结合在一起，利用模糊控制推理方法实现对PID参数的在线自整定，再对参数变化的情况进行Matlab仿真，仿真结果表明，该控制器明显地改善了控制系统的动态性能，易于实现，便于工程应用。     

主动电磁轴承智能积分型自适应模糊控制器

将传统的PID控制器或者传统复合型模糊控制器应用到主动电磁轴承系统中,其动、静态特性之间存在着一定的矛盾,较难达到理想的控制效果。将自适应模糊控制器和智能积分器相结合,提出了智能积分型自适应模糊控制器,以一个单自由度主动电磁轴承模型为例,比较了智能积分型自适应模糊控制器、传统模糊控制器和传统PID控制器的控制性能,并进行了仿真。仿真结果证明了智能积分型自适应模糊控制器的优越性。     

基于模糊自适应PID控制的桥式起重机定位防摆研究

指出了一种基于模糊自适应PID控制的桥式起重机定位和防摆方法,通过找出偏差和偏差变化率与PID控制器3个参数之间的模糊关系,在运行中跟踪误差信号来动态改变控制器参数,以满足不同的偏差和偏差变化率对控制参数的不同要求,从而使被控对象有良好的动静性能。仿真结果表明了该方法的可行性及较好的鲁棒性。     

聚酯间歇聚合反应广义模糊自适应控制器

针对具有时变、非线性、反应机理复杂的聚酯间歇聚合反应温度控制，提出了一种反应器温度误差附加夹套温度误差的新型广义模糊自适应控制器。实验结果表明：这种控制器在聚酯温度控制中具有优良性能，反应器误差的绝对平均值小于0．1℃，提高了聚合反应过程的控制品质，减小了跟踪误差。     

基于BP神经网络的空间轮廓误差自适应补偿

提出了矢量化的空间轮廓误差建模方法,并基于BP神经网络提出了交叉耦合控制器参数的自适应调整方法,使用三层神经元,根据进给速率以及曲率的变化进行控制器参数的自适应调整,而在补偿量的分配问题上则充分利用已有数据,以减小系统的计算量。实例仿真表明,所提出的自适应控制方法在进给速率设定值变化以及加工轮廓的半径发生变化时,都可以很好地控制轮廓误差的大小,提高轮廓加工精度。     

一种应用于自主车辆的新型自适应模糊控制器

Adaptive control for a class of nonlinear systems is discussed in this paper,We use fuzzy systems to approximate the ideal optimal corntroller by adjusting the parameters of fuzzy systems,In order to ture these parameters,linear relationship between approximation error and parameters is established first.Then we desing the adaptive laws of these parameters based on Lyapunov synthesis approach.The advantage of our method is that we can tune not only the parameters of the consequences of fuzzy rules,but also the parameters of the membership functions.As a result,a stable and more flexible controller is achieved.The performance of the adaptive scheme is demonstrated through the longitudinal vehicle control.     

A Novel Adaptive Fuzzy Controller for Application in Autonomous Vehicles

１INTRODUCTIONMostofthecurrentresearchonadaptivefuzzycontrolonlytunestheparametersoftheconsequencesoffuzzyrules．Thismaycausetheapproximationpropertyoffuzzysystemsnottobegood熏andaffecttheperformanceofthecon鄄troller．Aimingatthisproblem熏wehopetotuneallparam鄄etersoffuzzyrules．Inordertotunetheseparameters熏lin鄄earrelationshipbetweenapproximationerrorandallparam鄄etersoffuzzyrulesisestablishedfirst．ThenwedesigntheadaptivelawsoftheseparametersbasedonLyapunovsyn鄄thesisapproach．Theadva…     

自适应遗传算法求解模糊作业车间调度问题

研究模糊作业车间调度问题(FJSSP),用三角模糊数表示模糊加工时间,用半梯形模糊数表示模糊交货期,以最大化最小客户满意度为调度目标,建立了模糊环境下Job-shop调度问题的模型。提出了一种自适应遗传算法,该算法采用基于优先列表的编码方式,提高了编码效率;在进化过程中对种群采用精英保留策略,确保最优个体不被破坏;并对自适应交叉变异算子进行了改进,使种群最优个体参与进化。仿真结果证明所提算法在寻优能力及收敛性能方面均有所改善。