SCARA机器人的模糊自适应滑模控制

为了提高SCARA机器人的轨迹跟踪控制性能,提出一种双模糊自适应滑模控制。采用一自适应模糊控制器,根据滑模到达条件对滑模切换增益进行估算,消除滑模控制中输出力矩的抖振现象,增强其对不确定性因素的适应能力。采用另一自适应模糊控制器对指数趋近律系数进行修正,改善由于大范围初始位姿产生的偏差而引起的大力矩和速度跳变问题。基于Lyapunov方法进行了稳定性证明,保证控制系统的稳定性与收敛性。仿真实验结果表明,该方法应用于SCARA机器人,跟踪效果良好并产生了平滑的力矩输出和速度输出。     

参数不确定永磁同步电机混沌的模糊脉冲控制

通过Takagi-Sugen控制技术和脉冲控制技术,建立了参数不确定永磁同步电机的Takagi-Sugen模糊脉冲控制模型,然后利用矩阵分析和Lyapunov稳定性理论,得到了参数不确定永磁同步电机渐进稳定和指数稳定的充分条件,最后通过实例证实了该结果的正确性,相比传统的控制方法,基于Takagi-Sugen模型的模糊脉冲控制方法具有一定的优越性. 关键词： 混沌控制 模糊控制 脉冲控制 永磁同步电机     

Fuzzy Impulsive Control of Permanent Magnet Synchronous Motors

The permanent magnet synchronous motors （PMSMs） may experience chaotic behaviours with systemic parameters falling into a certain area or under certain working conditions, which threaten the secure and stable operation of motor-driven. Hence, it is important to study the methods of controlling or suppressing chaos in PMSMs. In this work, the Takagi-Sugeno （T-S） fuzzy impulsive control model for PMSMs is established via the T-S modelling methodology and impulsive technology. Based on the new model, the control conditions of asymptotieal stability and exponential stability for PMSMs have been derived by the Lyapunov method. Finaily, an illustrated example is also given to show the effectiveness of the obtained results.     

Mean square exponential stability of impulsive control stochastic systems with time-varying delay

In this Letter, we are concerned with the mean square exponential stability problem of an impulsive control stochastic system with time-varying delay. By employing the formula for the variation of parameters and estimating the Cauchy matrix, several criteria on mean square exponential stability are derived and the exponential convergence rate is estimated. The obtained criteria can be applied to stabilize the unstable continuous stochastic system by utilizing impulsive control. Two examples are also discussed to illustrate the efficiency of the obtained results.     

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.     

基于PLC的环境模拟系统温度控制算法的研究与实现

针对环境模拟试验温度控制系统中被控对象存在的非线性、时滞等特点,本文采用区间限幅PID控制算法和模糊PID控制算法对传统控制方法进行了改进。首先为了解决模拟量三通粗调阀调节缓慢的缺点,建立了区间限幅PID控制算法的控制规则表,并将其在PLC中实现。其次提出用模糊PID控制算法来解决电加热器的非线性、大时滞性问题,并结合实际控制经验建立了模糊控制规则表,然后将模糊PID控制算法在PLC中进行实现。最后将限幅PID和模糊PID控制算法应用于某大型环境模拟试验控制系统,实验结果表明利用改进算法对温度控制具有良好的稳定性及精确度。     

Exponential stabilization of chaotic systems with delay by periodically intermittent control

This paper studies the exponential stabilization problem for a class of chaotic systems with delay by means of periodically intermittent control. A unified exponential stability criterion, together with its simplified versions, is established by using Lyapunov function and differential inequality techniques. A suboptimal intermittent controller is designed with respect to the general cost function under the assumption that the control period is fixed. Numerical simulations on two chaotic oscillators are presented to verify the theoretical results.     

基于AFSMC算法的四旋翼飞行器控制策略研究

针对四旋翼飞行器在飞行过程中,控制系统存在非线性、强耦合、不确定性和鲁棒性差的问题,建立了关于四旋翼飞行器的动力学数学模型,将自适应控制、模糊控制和滑模控制相结合,提出基于自适应模糊滑模控制(AFSMC)的快速平稳控制策略。采用模糊系统推理方法实现理想控制律的逼近。在满足李雅普诺夫稳定性条件的前提下进行控制器的设计和稳定性分析,并结合四旋翼的数学模型和给定参数进行了MATLAB仿真。仿真结果表明,AFSMC控制器相比常规PID控制器具有良好的动态性能和抗干扰能力。     

基于模糊控制的清水池水位控制系统设计

清水池水位控制具有时变、滞后、突发性强等特点,难以准确建立合适的数学模型,为了达到快速维持清水池水位在期望值,避免所有水泵同时启停的目的,提出了一种清水池水位模糊控制的方法,该方法借助于MATLAB软件对控制系统进行了仿真,验证了模糊控制算法在清水池水位控制系统中应用的合理性,并计算出模糊输出控制量表,为确定水泵启停台数提供指导。采用了S7-200 PLC控制器和MCGS组态软件实现了清水池模糊控制系统的程序设计,给出相应的模糊控制PLC程序,并应用于清水池水位控制系统中。结果表明,系统稳定性好,响应速度快,能够较好的满足控制要求。系统将模糊控制理论与实际控制相结合,满足了清水池水位控制的要求,延长了水泵使用寿命,节省电能,为清水池水位自动控制提供借鉴。     

Globally exponential multi switching-combination synchronization control of chaotic systems for secure communications

This article introduces the global exponential multi switching combination synchronization (GEMSCS) for three different chaotic systems with known parameters in the master-slave system configuration. The proposed GEMSCS scheme establishes the global exponential stability of the synchronization error at the origin with different combinations of state variables of the two master chaotic systems with the state variables of a slave chaotic system in diverse manners. Consequently, it increases the complexity level of the information signal in secure communications. To study the GEMSCS, an efficient nonlinear control algorithm is designed. The Lyapunov direct theorem is used to accomplish the global exponential stability of the synchronization error at the origin. The stability conditions are derived analytically. To show the effectiveness and advantages of the proposed GEMSCS control approach, two numerical examples are presented. The computer based simulation results are compared with the reported works in the relevant literature. This article also extends the idea of GEMSCS to the secure communication using the chaotic masking technique. Using the GEMSCS strategy, the information signal is recovered at the receiving system with good accuracy and high speed while the parameters of the transmitter and receiver systems mismatch. At the end, some future research problems related to this work are suggested.     

Fuzzy modeling and impulsive control of hyperchaotic Lü system

This paper presents a novel approach to hyperchaos control of hyperchaotic systems based on impulsive control and the Takagi--Sugeno (T--S) fuzzy model. In this study, the hyperchaotic Lü system is exactly represented by the T--S fuzzy model and an impulsive control framework is proposed for stabilizing the hyperchaotic Lü system, which is also suitable for classes of T--S fuzzy hyperchaotic systems, such as the hyperchaotic R?ssler, Chen, Chua systems and so on. Sufficient conditions for achieving stability in impulsive T--S fuzzy hyperchaotic systems are derived by using Lyapunov stability theory in the form of the linear matrix inequality, and are less conservative in comparison with existing results. Numerical simulations are given to demonstrate the effectiveness of the proposed method.     

Adaptive fuzzy synchronization for a class of fractional-order neural networks

In this paper, synchronization for a class of uncertain fractional-order neural networks with external disturbances is discussed by means of adaptive fuzzy control. Fuzzy logic systems, whose inputs are chosen as synchronization errors,are employed to approximate the unknown nonlinear functions. Based on the fractional Lyapunov stability criterion, an adaptive fuzzy synchronization controller is designed, and the stability of the closed-loop system, the convergence of the synchronization error, as well as the boundedness of all signals involved can be guaranteed. To update the fuzzy parameters,fractional-order adaptations laws are proposed. Just like the stability analysis in integer-order systems, a quadratic Lyapunov function is used in this paper. Finally, simulation examples are given to show the effectiveness of the proposed method.     

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。     

一类非线性T-S模糊时滞系统的鲁棒观测器型H∞控制器设计

针对同时具有分布时滞和非线性项的T-S模糊时滞系统, 提出观测器型H_∞输出反馈控制器设计方法. 首先, 以非线性矩阵不等式形式给出时滞相关的满足H_∞性能指标的稳定性分析充分条件; 其次, 给出与所给稳定性条件等价的线性矩阵不等式条件. 在此基础上, 讨论带有非线性项的观测器型H_∞输出反馈控制的可解问题. 最后, 通过仿真算例说明控制器设计方法的可行性. 关键词： T-S模糊系统 分布时滞 观测器型输出反馈控制 H_∞控制')" href="#">H_∞控制     

基于模糊PID的磁悬浮球控制系统研究

针对磁悬浮球系统的本质不稳定性,设计模糊PID算法实现系统的稳定控制,并使之动态性能及稳态性能满足要求;文中首先分析了磁悬浮球系统的基本原理,并进行力学分析,建立系统的数学模型,并对其中的非线性部分进行了平衡点处的线性化,而后采用用PID控制设计,PID可以实现系统的稳定控制,且控制精度较高,但对于动态性能的改善不足,且当模型中的参数改变时,PID参数的适应性较差;因此在PID参数的基础上,采用模糊PID控制,使得系统既可以满足三性要求,又可以使其具有参数变化的适应能力。     

基于Fuzzy-P控制的半导体激光器功率稳定研究

为了提高光源抑制噪音的能力，提出一种基于模糊控制和比例控制的模数混合控制器，对中心波长为650 nm的半导体激光二极管的输出功率进行高准确度稳恒控制.实验结果表明，施加功率控制后，光源输出功率的静态稳定度达到±0.48‰，动态稳定度优于±1‰.     

Exponential stability of synchronization in asymmetrically coupled dynamical networks

Based on the original definition of the synchronization stability, a general framework is presented for investigating the exponential stability of synchronization in asymmetrically coupled networks. By choosing an appropriate Lyapunov function, we prove that the mechanism of the exponential synchronization stability is the asymmetrical coupling matrix with diffusive condition. We deduce the second largest eigenvalue of a symmetric matrix to govern the exponential stability of synchronization in asymmetrically coupled networks. Moreover, we have given the threshold value which can guarantee that the states of the asymmetrically coupled network achieve the exponential stability of synchronization.     

内埋式PMSM模糊PI超前角弱磁控制算法研究

内埋式永磁同步电机运行过程中,由于电流变化导致的参数变化使得转矩和速度波动加大。模糊控制有利于提高系统的稳定性,且不依赖系统参数,本文将模糊控制引入到内埋式电机的超前角弱磁控制中,电流环采用模糊PI调节器代替传统PI调节器,构建了模糊PI超前角弱磁算法。仿真结果表明,模糊PI超前角弱磁算法补偿了从电流相角偏移,提高了超前角弱磁控制过渡时相角稳定性。与传统PI比较,电机输出转矩波动减小7%,速度波动减小1%,鲁棒性增强。     

Global impulsive exponential synchronization of stochastic perturbed chaotic delayed neural networks

In this paper, the global impulsive exponential synchronization problem of a class of chaotic delayed neural networks (DNNs) with stochastic perturbation is studied. Based on the Lyapunov stability theory, stochastic analysis approach and an efficient impulsive delay differential inequality, some new exponential synchronization criteria expressed in the form of the linear matrix inequality (LMI) are derived. The designed impulsive controller not only can globally exponentially stabilize the error dynamics in mean square, but also can control the exponential synchronization rate. Furthermore, to estimate the stable region of the synchronization error dynamics, a novel optimization control algorithm is proposed, which can deal with the minimum problem with two nonlinear terms coexisting in LMIs effectively. Simulation results finally demonstrate the effectiveness of the proposed method.     

Robust lag synchronization between two different chaotic systems via dual-stage impulsive control

In this paper, an improved impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the new definition of synchronization with error bound and a novel impulsive control scheme (the so-called dual-stage impulsive control), some new and less conservative sufficient conditions are established to guarantee that the error dynamics can converge to a predetermined level, which is more reasonable and rigorous than the existing results. In particular, some simpler and more convenient conditions are derived by taking the same impulsive distances and control gains. Finally, some numerical simulations for the Lorenz system and the Chen system are given to demonstrate the effectiveness and feasibility of the proposed method.