基于遗传算法的过热度模糊控制因子优化研究

模糊控制器的量化因子和比例因子对蒸发器过热度的调节品质影响极大。针对传统"试凑法"选择量化因子和比例因子时主观因素强且难以实现全局最优的缺点,采用遗传算法对两类模糊因子进行优化。仿真结果表明:优化后的模糊控制器动态、静态性能均优于传统模糊控制器。     

Fractional-order optimal fuzzy control for network delay

Fuzzy logic control has been used frequently in tuning network control system (NCS) due to its on-line dynamic static non-linear match and several remarkable fractional-order controllers have achieved satisfactory control performance when applied to NCS in present years, therefore, in this paper, a novel fractional fuzzy logic controller which combined the fractional algorithm and fuzzy logic control together has been proposed to deal with fixed and random network induced delays in closed-loop feedback systems. The comparisons of set-point tracking performances of fractional fuzzy logic PID controller (FFuzzyPID), conventional fuzzy logic PID controller(FuzzyPID), fractional optimal PID controller (FOPID), and optimal PID controller(OPID) on a representative plant with fixed and random network delays have been shown with simulations. The simulation results indicate that fractional fuzzy logic controller has higher capability to handle network delays compared with other controllers in most cases.     

Experimental evaluation of a piezoelectric vibration absorber using a simplified fuzzy controller in a cantilever beam

This study presents a novel resonant fuzzy logic controller (FLC) to minimize structural vibration using collocated piezoelectric actuator/sensor pairs. The proposed fuzzy controller increases the damping of the structures to minimize certain resonant responses. The vibration absorber is first experimentally examined by a cantilever beam test bed for impulse and near-resonant excitation cases. Moreover, the effectiveness of the new fuzzy control design to a state-of-the-art control scheme is compared through the experimental studies. The experimental results indicate the proposed controller is highly promising for this application field. Our results further demonstrate that the fuzzy approach is much better than traditional control methods. In summary, a novel vibration absorption scheme using fuzzy logic has been demonstrated to significantly enhance the performance of a flexible structure with resonant response.     

混沌系统的变论域模糊控制算法研究

混沌运动和混沌控制受到广泛关注,本文利用模糊控制实现混沌系统的控制.针对模糊控制器精度不高,模糊控制中规则数量与控制精度之间的矛盾,提出了一种基于蚁群优化算法的变论域模糊控制器.通过分析变论域模糊控制中的2类伸缩因子,指出其中1类并不能满足广义伸缩因子条件.提出利用蚁群优化算法对伸缩因子智能寻优的方法,在对蚁群算法改进的基础上,构成一种基于蚁群算法的变论域模糊控制,将设计的控制器用于Duffing混沌系统的控制.仿真结果表明,提出的控制算法在收敛速度和稳态性能上要略优于其他控制方式. 关键词： 混沌 变论域模糊控制 伸缩因子 蚁群优化算法     

燃气机热泵系统电子膨胀阀流量控制的研究

本文通过理论分析及实验测试,研究燃气机热泵系统启动过程和大范围变容量调节过程中系统流量特性,提出了适合于燃气机热泵系统的电子膨胀阀流量控制策略.结果表明文中所提出的模糊自适应PID控制方法和模糊PID控制方法的控制性能要优于常规的PID控制方法.     

无人机姿态控制器设计及仿真

由于无人机模型的非线性和参数的时变性,传统PID方法设计的控制器动静态性能可能会变得很差,针对这种问题,设计了适合于某型无人机的模糊自适应姿态控制器。对于模糊控制器的隶属函数选择中盲目性的问题,利用粒子群优化算法对隶属函数进行智能寻优,降低设计过程中专家主观意向对控制器性能不确定性的影响。仿真结果表明,本文设计的控制器相对传统PID有更好的动静态性能,并且对于模型参数的时变性具有一定的鲁棒性。     

动平台视轴稳定控制的两种智能PID算法研究

分析了动平台下光电探测设备视轴稳定的基本原理,针对用于视轴稳定的伺服控制系统动态和稳态性能指标的高精度要求,设计了两种基于模糊控制的智能PID控制算法——FLCPID复合控制算法和PID参数模糊自整定算法。分别从理论上分析了这两种智能算法的可行性及技术特点,阐述了其设计过程。仿真计算表明,这两种基于模糊控制的智能PID控制算法均能获得优于常规PID的控制效果;FLCPID复合控制算法的调节时间小于0．05s,无超调,PID参数模糊自整定算法调节时间小于0．1s,超调量小于5％,显然前者的动态性能优于后者;后者对300ms时突加的1V扰动信号可完全抑制,有更强的鲁棒性。     

基于蚁群算法自整定PID的风电系统最大风能追踪研究

以欠功率阶段的最大风能追踪为研究重点,对风力机捕获风能的过程进行理论分析,将蚁群算法自整定PID应用于最大风能追踪控制,设计了蚁群算法自整定PID控制器,并对其进行相应的仿真分析。仿真结果表明,与传统的PID控制策略相比,该控制策略使控制系统具有良好的动态响应能力,提高了控制精度、风能利用率、输出功率。     

永磁直线同步电机位置系统的模糊IP控制研究

针对具有电磁推力大、响应快、易于矢量解耦控制的永磁直线同步电机PMLSM,研究高精度位置伺服控制系统的设计,以满足高速加工与高精度微进给加工的需求。考虑被控对象的变化和外界扰动,控制器的参数难于在线修订,设计了一种模糊/积分-比例IP位置控制器。它将具有并联反馈环节的IP控制器与模糊控制器有效结合,根据位置偏差的变化率进行切换,即存在较大输入指令与系统输出偏差较大时采用模糊控制,而系统输出接近于输入指令时则采用IP控制器,从而发挥模糊控制器对变参数系统的自适应性和IP控制器的快速和准确性优势。仿真实验结果表明模糊/IP控制器在稳态精度和动态性能方面优于单纯的IP控制器和模糊控制器,能够满足变参数控制系统的性能指标。     

A robust SVD-based image watermarking using a multi-objective particle swarm optimization

The major objective in developing a robust digital watermarking algorithm is to obtain the highest possible robustness without losing the visual imperceptibility. To achieve this objective, we proposed in this paper an optimal image watermarking scheme using multi-objective particle swarm optimization (MOPSO) and singular value decomposition (SVD) in wavelet domain. Having decomposed the original image into ten sub-bands, singular value decomposition is applied to a chosen detail sub-band. Then, the singular values of the chosen sub-band are modified by multiple scaling factors (MSF) to embed the singular values of watermark image. Various combinations of multiple scaling factors are possible, and it is difficult to obtain optimal solutions. Thus, in order to achieve the highest possible robustness and imperceptibility, multi-objective optimization of the multiple scaling factors is necessary. This work employs particle swarm optimization to obtain optimum multiple scaling factors. Experimental results of the proposed approach show both the significant improvement in term of imperceptibility and robustness under various attacks.     

Vibration control of a structure with ATMD against earthquake using fuzzy logic controllers

In this paper, fuzzy logic and PD controllers are designed for a multi-degree-of freedom structure with active tuned mass damper (ATMD) to suppress earthquake-induced vibrations. Fuzzy logic controller (FLC) is preferred because of its robust character, superior performance and heuristic knowledge use effectively and easily in active control. A fifteen-degree-of-freedom structural system is modeled with two types of actuators. These actuators are installed on the first storey and fifteenth storey which has ATMD. The system is then subjected to Kocaeli Earthquake vibrations, which are treated as disturbances. In control, linear motors are used as the active isolators. At the end of the study, the time history of the storey displacements and accelerations, ATMD displacements, control voltages, frequency responses of the both uncontrolled and the controlled structures are presented. Performance of the designed FLC has been shown for the different loads and disturbances using ground motion of the Kobe Earthquake. The results of the simulations show a good performance by the fuzzy logic controllers for different loads and the earthquakes.     

Hybrid fuzzy logic control of laser surface heat treatments

This paper presents an advanced hybrid fuzzy logic control system for laser surface heat treatments, which allows to increase significantly the uniformity and final quality of the obtained product, reducing the rejection rate and increasing the productivity and efficiency of the treatment. Basically, the proposed hybrid control structure combines a fuzzy logic controller, with a pure integral action, both fully decoupled, improving the performances of the process with a reasonable design cost, since the system nonlinearities are fully compensated by the fuzzy component of the controller, while the integral action contributes to eliminate the steady-state error.     

带有未知非对称控制增益的不确定分数阶混沌系统自适应模糊同步控制

针对带有非对称控制增益的不确定分数阶混沌系统的同步问题设计了模糊自适应控制器. 模糊逻辑系统用来逼近未知的非线性函数, 非对称的控制增益矩阵被分解为一个未知的正定矩阵、一个对角线上元素为+1或-1的已知对角矩阵和 一个未知的上三角矩阵的乘积. 基于分数阶Lyapunov稳定性理论构造了模糊控制器以及分数阶的参数自适应律, 在保证所有变量有界的情况下实现驱动系统和响应系统的同步. 在分数阶系统稳定性分析中给出了一种平方Lyapunov函数的使用方法, 根据此方法很多针对整数阶系统的控制方法可以推广到分数阶系统中. 最后数值仿真结果验证了所提控制方法的可行性.     

Experiment and analysis of a fuzzy-controlled piezoelectric seismic isolation system

Because a conventional seismic isolation system is usually a long-period dynamic system, it may easily incur an excessive seismic response when subjected to near-fault earthquakes, which usually contain strong long-period wave components. In order to alleviate this near-fault isolation problem, this paper investigates the possible use of a fuzzy-controlled semi-active isolation system, called a piezoelectric seismic isolation system (PSIS), whose seismic response is attenuated by a variable friction damper driven by an embedded piezoelectric actuator. The studied PSIS adopts a fuzzy controller whose control logic is similar to that of the anti-lock braking systems (ABS) widely used in the automobile industry. This ABS-type fuzzy controller has the advantages of being simple and easily implemented, because it only requires the measurement of the PSIS sliding velocity. In order to investigate its feasibility and isolation effectiveness, in this work both theoretical and experimental studies were carried out on a prototype PSIS. It is observed that the experimental responses of the PSIS can be well predicted by the theoretical responses simulated by the mathematical model and numerical procedure. Furthermore, both theoretical and experimental results have demonstrated that in either a near-fault or a far-field earthquake, the PSIS with the ABS-type fuzzy controller is very effective in suppressing simultaneously the isolator displacement and the acceleration response of the isolated object.     

基于粒子群优化的自适应模糊制冷控制算法

为解决空间斯特林制冷机和探测器热负载不确定及存在变化的问题,提出了自适应模糊PID制冷控制。在空间环境中使用的斯特林制冷机参数会随着时间的变化而发生改变,探测器负载也会随着工作模式和工作时间的变化而变化,整个制冷系统涉及的变量多,参数非线性。采用传统的控制方法,在固定的单一条件、环境下得到的控制参数,环境和负载发生变化后容易性能变差甚至不稳定,控制精度和稳定性不能满足使用要求。设计了一种自适应斯特林制冷机控制器,通过综合自适应模糊PID控制的方法,采用粒子群优化算法调整控制参数以减小代价函数。通过仿真和试验验证算法的有效性和鲁棒性。     

Universality Under Conditions of Self-tuning

We study systems with a continuous phase transition that tune their parameters to maximize a quantity that diverges solely at a unique critical point. Varying the size of these systems with dynamically adjusting parameters, the same finite-size scaling is observed as in systems where all relevant parameters are fixed at their critical values. This scheme is studied using a self-tuning variant of the Ising model. It is contrasted with a scheme where systems approach criticality through a target value for the order parameter that vanishes with increasing system size. In the former scheme, the universal exponents are observed in naïve finite-size scaling studies, whereas in the latter they are not.     

基于文化遗传算法的水浴温度模糊控制器设计

水浴温度控制普遍存在滞后、超调、波动性大等特点,且难以建立精确的数学模型,一般采用模糊控制器实现对水浴温度的控制,但模糊控制规则具有较强的主观性,其控制性能往往达不到客观要求。研究遗传算法在模糊控制规则寻优上的应用,将其和文化算法相结合,构成一种具有双层协同进化机制的文化遗传算法,采用专家经验的知识信息构成信仰空间作为指导方向,然后在群体空间中进行遗传算法操作,选取群体中适应度值较高的个体更新信仰空间,再通过迭代优化,得到适应度值高的个体,将其作为优化的模糊控制规则。仿真实验表明,优化后的规则在控制过程中的动态温度跟踪和稳态误差方面均具有较好的效果。     

基于遗传算法的PID控制器优化设计

遗传算法是一种模拟自然进化而提出的简单高效的优化组合方法。本文研究了比例-积分-微分(PID)控制器优化设计的性能指标的选择问题，介绍了遗传算法的基本原理，给出了利用遗传算法进行PID控制器优化设计的步骤。同时给出了一个用遗传算法进行单环系统PID控制器优化设计的仿真实例。仿真结果表明了遗传算法应用于PID控制器优化设计的可行性和有效性。遗传算法还克服了其它方法的某些弊端。     

一种三相三线与三相四线自适应电能表的设计

针对合成孔径雷达（SAR）清晰成像的特点,为保证雷达天线波束指向稳定,设计了某型机载雷达天线稳定平台。为了消除雷达天线稳定平台控制中存在的非线性及不确定性因素的影响,提出了一种应用于雷达天线稳定平台控制系统的模糊PID控制策略。稳定平台是依据陀螺仪所采集载机的角速度,运用反向运动补偿的原理进行工作。控制策略中,在传统PID控制的基础上引入模糊控制算法,根据跟踪误差信号动态改变PID控制器参数,改善稳定平台的控制效果,完成稳定平台控制器的优化设计。仿真结果表明,优化后的模糊PID控制算法与传统PID控制算法比较,在稳定平台转速控制方面受到的外部干扰影响更小,响应速度更快。因此,基于模糊PID控制算法的雷达天线稳定平台具有更高的稳定性能。     

基于自适应模糊控制的分数阶混沌系统同步

本文主要研究了带有未知外界扰动的分数阶混沌系统的同步问题.基于分数阶Lyapunov稳定性理论,构造了分数阶的参数自适应规则以及模糊自适应同步控制器.在稳定性分析中主要使用了平方Lyapunov函数.该控制方法可以实现两分数阶混沌系统的同步,使得同步误差渐近趋于0.最后,数值仿真结果验证了本文方法的有效性.