基于无线传输的非线性网络控制系统的模糊控制

考虑控制器与被控对象之间采用无线传输,且被控对象为非线性模型的一类网络控制系统,对其设计了稳定的模糊控制器。首先基于T-S模糊模型将对象线性化,并利用模糊主导子系统和主导控制规则,简化了模糊控制器的设计。其次,将闭环控制系统方程等效为与无线传输跳数相关的离散切换系统,并证明了闭环系统的稳定性。最后,通过一个仿真例子验证了文中方法的有效性。

Abstract：

Considering a class of networked control systems using wireless transmission between the controller and the controlled object,and with nonlinear controlled object,the stable fuzzy controller was designed.Firstly,based on T-S fuzzy model,the object was linearized.And the design of the fuzzy controller was simplified by using the fuzzy dominant subsystem and the dominant control rule.Secondly,the equation of the closed-loop control system was equal to the discrete switched system related to the hop count of the wireless transmission.Finally,a simulation example was given to demonstrate the effectiveness of the proposed method.     

车辆半主动悬架系统模糊神经网络控制研究

悬架系统对车辆平顺性具有重要的影响,通过预瞄控制在后轮处提前预测路面不平度,用于解决半主动悬架模糊神经网络控制存在的时滞问题。建立了1/2车辆模型和路面输入模型,设计了基于预瞄控制的半主动悬架模糊神经网络控制结构,并进行了白噪声输入仿真分析。结果表明：预瞄控制后的车身加速度峰值和标准差比被动系统分别减少了61.61%和44.28%,比模糊控制的悬架系统分别减少了21.23%和21.20%;预瞄控制后的质心加速度峰值和标准差比被动系统分别减少了35.21%和57.81%,比模糊控制的悬架系统分别减少了7.83%和20.10%。后轮处车身加速度和质心垂直加速度均有明显减小,较好改善了悬架系统适应道路的性能,有效缓和了车辆的振动和提高了汽车的行驶平顺性。

Abstract：

Suspension system has important effect on vehicle ride comfort.Wheelbase preview control method could be used to forecast the road surface roughness at the front wheel,and to be used to solve the delay problem in fuzzy neural network controlled semi-active suspension system.The 1/2 vehicle model and road input model was established,and the fuzzy neural network control structure based on wheelbase preview control theory was designed.The white noise input simulation was carried out and the results show that the peak and standard deviation of body acceleration are separately decreased by 61.61% and 44.28% compared with passive suspension system,and are 21.23% and 21.20% compared with fuzzy controlled suspension system;on the other hand,the peak and standard deviation of vertical acceleration at CG are separately decreased by 35.21% and 57.81% compared with passive suspension system,and are 7.83% and 20.10% compared with fuzzy controlled suspension system.The body vertical acceleration at rear wheel and the vertical acceleration at CG are significantly decreased to adapt to the suspension performance,which helps to effectively easy the vehicle vibration and to improve the vehicle ride comfort.     

Combined indirect and direct method for adaptive fuzzy output feedback control of nonlinear system

A novel control method for a general class of nonlinear systems using fuzzy logic systems (FLSs) is presertted. Indirect and direct methods are combined to design the adaptive fuzzy output feedback controller and a high-gain observer is used to estimate the derivatives of the system output. The closed-loop system is proven to be semiglobally uniformly ultimately bounded. In addition, it is shown that if the approximation accuracy of the fuzzy logic system is high enough and the observer gain is chosen sufficiently large, an arbitrarily small tracking error can be achieved. Simulation results verify the effectiveness of the newly designed scheme and the theoretical discussion.     

MATTER-ELEMENT MODELING OF PARALLEL STRUCTURE AND APPLICATION ABOUT EXTENSION PID CONTROL SYSTEM

This article describes in detail a new method via the extension predictable algorithm of the matter-element model of parallel structure tuning the parameters of the extension PID controller. In comparison with fuzzy and extension PID controllers, the proposed extension PID predictable controller shows higher control gains when system states are away from equilibrium, and retains a lower profile of control signals at the same time. Consequently, better control performance is achieved. Through the proposed tuning formula, the weighting factors of an extension-logic predictable controller can be systematically selected according to the control plant. An experimental example through industrial field data and site engineers＇ experience demonstrates the superior performance of the proposed controller over the fuzzy controller.     

Reference tracking control for flexible air-breathing hypersonic vehicle with actuator delay and uncertainty

This paper considers the problem of reference tracking control for the flexible air-breathing hypersonic flight vehicle with actuator delay and uncertainty.By constructing the Lyapunov functional including the lower and upper bounds of the time-varying delay,the non-fragile controller is designed such that the resulting closed-loop system is asymptotically stable and satisfies a prescribed performance cost index.The simulation results are given to show the effectiveness of the proposed control method,which is validated by excellent output reference altitude and velocity tracking performance.     

Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion

A frequency-domain-based sufficient condition is derived to guarantee the globally asymptotic stability of the simplest Takagi-Sugeno (T-S) fuzzy control system by using the circle criterion. The analysis is performed in the frequency domain, and hence the condition is of great significance when the frequency-response method, which is widely used in the linear control theory and practice, is employed to synthesize the simplest T-S fuzzy controller. Besides, this sufficient condition is featured by a graphical interpretation, which makes the condition straightforward to be used. Comparisons are drawn between the performance of the simplest T-S fuzzy controller and that of the linear compensator. Two numerical examples are presented to demonstrate how this sufficient condition can be applied to both stable and unstable plants.     

Sliding Mode Control for Nonlinear System Based on T－S Model

1　IntroductionNonlinear control system is the mostactive research region,butthere is little systematicaleffective way to deal with them.In the eighties of the 2 0 th century,fuzzy logic controlobtained greatdevelopment in control theory and industrial control,because the design offuzzy controller is simple and suits for many nonlinear system and has strong robustness,but less strict proof for stability.Takagi[1 ] and Sugeno put forward famous T- S fuzzydynamic system model,and raised new way…     

Congestion control scheme in ATM networks based on fast tracing-queue

One of the more challenging and unresolved issues in ATM networks is the congestion control of available bit rate （ABR）. The dynamic controller is designed based on the control theory and the feedback mechanism of explicit rates With the given method of a chosen parameter, it can guarantee the stability of the controller and closed loop system with propagation delay and bandwidth oscillation. It needs less parameters（only one） to be designed. The queue length can converge to the given value in the least steps. The fairness of different connections is considered further. The simulations show better performance and good quality of service（QoS） is achieved.     

FBFN-based adaptive repetitive control of nonlinearly parameterized systems

An adaptive repetitive control scheme is presented for a class of nonlinearly parameterized systems based on the fuzzy basis function network （FBFN）. The parameters of the fuzzy rules are tuned with adaptive schemes. To attenuate chattering effectively, the discontinuous control term is approximated by an adaptive PI control structure. The bound of the discontinuous control term is assumed to be unknown and estimated by an adaptive mechanism. Based on the Lyapunov stability theory, an adaptive repetitive control law is proposed to guarantee the closed-loop stability and the tracking performance. By means of FBFNs, which avoid the nonlinear parameterization from entering into the adaptive repetitive control, the controller singularity problem is solved. The proposed approach does not require an exact structure of the system dynamics, and the proposed controller is utilized to control a model of permanent-magnet linear synchronous motor subject to significant disturbances and parameter uncertainties. The simulation results demonstrate the effectiveness of the proposed method.     

基于联合仿真技术的主动悬架自适应模糊PID控制研究

近年来联合仿真技术在车辆控制系统的开发研究中得到了广泛的应用。以某皮卡车为研究对象,首先利用ADAMS/CAR软件建立车辆多体动力学模型;然后在Matlab/Simulink环境中设计了基于自适应模糊PID控制的ASS,定义了与ADAMS/CAR环境下车辆模型的数据交换接口;最后,将设计的控制系统在ADAMS/CAR和Matlab/Simulink环境下通过输入输出接口进行联合仿真。文中对随机路面输入和脉冲路面输入工况下的ASS系统及整车动态特性进行了联合仿真研究,其研究结果为联合仿真技术在车辆工程中的实际应用提供了参考。     

EPS控制单元频响特性测试与系统辨识

控制器是电动助力转向系统（EPS）的核心部件之一。EPS控制器采集转向盘扭矩信号和车速信号,由事先设定的算法来计算控制助力电机的目标电流作为输出,并以PWM（脉宽调制波）的形式作用于助力电机。以某国外控制器的EPS实验台架实测数据为基础,在MATLAB软件平台上,建立离散数据分析模型,计算出待测系统的传递函数。将辨识出的传递函数用于EPS开发,实验证明辨识方法是有效的且辨识结果可指导控制软件设计。     

基于神经网络的一类非线性系统的变结构控制

在已知名义系统的基础上 ,将小脑关节模型控制器 (CMAC)神经网络用于一类状态反馈可线性化的多输入多输出连续时间非线性系统的变结构控制中。利用自适应技术估计了估计误差的大小 ,减小了系统的不确定性 ,并利用模糊控制技术调整了变结构增益 ,改善了系统的性能。在很弱的假设条件下 ,应用Lyapunov稳定性定理证明了闭环系统内的所有信号为均匀最终有界。算法在导弹控制系统中的应用进一步证明了本文方法的有效性。     

单路口交通的多相位实时模糊控制

讨论单路口多相位的交通信号控制 ,控制方法采用实时模糊控制 ,提出以当前相的主队列、最近1 0秒车辆到达数、后继相的主队列三者决定信号配时的方法 ,给出了该三维模糊控制器的设计 .根据通过交叉口的车辆停驶过程 ,推导出交叉口平均车辆延误计算模型 .对上述控制器进行四相位交叉口的仿真试验 ,以通过交叉口的平均车辆延误作为性能评价指标 ,仿真结果表明 ,控制效果比较满意 ,优于定时控制方法     

考虑悬架几何特性及作动器延时的整车模糊控制

利用ADAMS软件建立了整车悬架及转向机械模型,考虑了悬架的几,阿特性,结合变论城模糊控制方法,设计了主动悬架变论域模糊控制器,同时考虑了作动器的延时特性,通过matlab/simulink联合仿真,并与被动悬架模型进行了对比,得出所设计的模糊控制器对汽车的平顺性有较大改善.     

基于模糊逻辑的混联式电动汽车控制策略研究

提出了一种基于模糊逻辑的混联式电动汽车功率分配控制策略,功率分配控制器的核心是规则库,它由制动规则库、燃油经济性规则库、加速性能规则库以及校正模块等四个独立的规则库组成。利用已建立的四驱混合电动汽车模型对其燃油经济性进行计算机仿真表明:采用模糊控制策略比传统控制策略的百公里油耗在市区(FUDS)和高速(FHDS)工况下均下降了约10%。     

飞机防滑刹车系统的MATLAB/SINMULINK建模与仿真

综合考虑飞机机体、机轮、轮胎和跑道状况的特性,建立了飞机防滑刹车的滑跑模型。对于刹车系统的非线性和不确定性,难以精确控制的特点,采用模糊控制来解决刹车控制问题。在MATLAB模糊逻辑工具箱中对控制器进行设计,并将模糊控制器与滑跑模型应用于SIMULINK仿真环境,建立整体仿真模型。仿真特性曲线表明:建立的整体模型和应用模糊控制比较合理,飞机的刹车性能良好。     

双交叉口两级模糊协调控制算法的研究

基于城市交通智能控制研究课题的需要,提出了一种双交叉口的分级模糊协调控制算法和应用混沌优化自动调整隶属度函数的思想,依此设计了双交叉口的两级模糊协调控制器;应用MATLAB编写了仿真程序,对主次干道车流量相差悬殊和相近两种情况进行了实例仿真,并与传统控制算法进行了比较.仿真结果表明,分级模糊协调控制方法可以有效减少有主次干道之分的交叉口车辆的平均延误,对交通流量均衡的交叉口的控制效果,也比传统算法有显著提高.     

一种新的永磁同步电机直接转矩控制方法

提出了一种新的无速度传感器永磁同步电机直接转矩控制方法。针对内埋式永磁同步电机直接转矩控制存在较大脉动转矩和逆变器的开关频率不恒定的缺点,设计了一种自适应模糊控制器确定占空比的方法。与其它基于自适应模糊控制器的直接转矩方法不同,这种自适应模糊控制器通过控制正反电压矢量作用时间,在每一采样周期计算出最优占空比。该控制器输出部分的比例因子可以根据转矩的变化趋势经自适应机构的模糊规则库在线调整,不仅可以使永磁同步电机直接转矩控制系统保持恒定的开关频率,而且可以有效地减小磁链和转矩脉动,特别是低速时的转矩脉动。为了获得高性能的无速度传感器永磁同步电机控制系统,设计了一种无速度传感器方案。理论分析和仿真实验结果证明了自适应模糊永磁同步电机直接转矩控制策略的有效性。     

感应电机模糊预测控制策略的研究

在感应电机IM(Induction Motor)的控制中,电阻、电抗等参数对转速控制产生较大的误差影响,从而影响控制精度和动态响应速度.基于感应电机的数学模型,将模糊逻辑系统引入预测控制.针对异步电机的强耦合特性,提出模糊模糊预测控制的方法,并用模糊预测控制的方法设计了高性能的转速控制器.并借助DSP实验平台,将系统模型下载到实时硬件中进行在线仿真,实验结果表明,所设计的控制器在提高速度控制的快速性和抗干扰能力上得到满意的效果.