切换带厚度递减的离散变结构控制方案

对离散趋近律方法进行研究,针对利用该方法设计变结构控制时系统产生抖振的原因,提出一种准滑动模态带宽度单调减小的离散变结构控制方案.理论分析及仿真结果表明,该方案较好地克服了由离散趋近律引起的抖振问题,可以大大改善离散变结构控制系统的稳态性能.     

不确定离散变结构控制系统的趋近律方法

分析了不确定离散变结构控制系统的常用设计方法的优缺点, 借助s型函数提出了一种改进的离散趋近律.应用该趋近律设计的变结构控制系统, 其原点稳定性和系统平稳性都优于指数趋近律和变速趋近律, 该设计方案保证了系统状态在趋近过程中能够保持某一趋近特性, 加快了系统状态的趋近速度, 同时降低了抖振, 易于变结构控制设计. 仿真结果验证了该设计方案的可行性和有效性.     

一种不确定离散时间系统的变结构控制方法

针对离散时间系统变结构控制中存在的问题,利用指数趋近律的趋近特性,提出一种新的离散变结构控制方法.利用递推估计的方法设计变结构控制律,有效地抵消了线性系统中慢变不确定性的影响,实现了对慢变非线性系统的控制.该方法克服了以往控制方法中需已知扰动上界的限制,降低了抖振,加快了趋近速度.仿真结果证明了该方法的有效性.     

不确定离散时间系统的变结构控制设计

讨论了利用离散趋近律设计不确定离散时间系统的变结构控制问题,分析了离散趋 近律系数造成系统颤振的原因,给出了改进的离散趋近律,并利用它设计了变结构控制律,对 不确定部分建立灰色估计模型,估计出参数值.仿真结果表明该方法是可行的,有效地防止了 系统的颤振和不确定因素的影响.     

基于离散变结构控制的DC/DC变换器

运用趋近律形式的离散变结构控制原理,设计了Buck型DC/DC变换器.设计方法简单,易于实现.通过仿真和实验证实了离散变结构控制具有系统内部参数变化时的鲁棒性,并改善了系统的稳态性能.     

一种基于离散变结构控制理论的有功分配控制器

对离散变结构控制理论进行研究并提出一种新的趋近律形式：离散变速趋近律,其特点是可期待原点的稳定性,将离散趋近律方法应用于电力系统,设计了并联运行同步发电机组有功分配的离散变结构控制器,仿真结果表明,本文设计的控制器可以明显改善系统的动态性能。     

离散时间系统变结构控制基于衰减控制的趋近律

讨论了利用离散趋近律设计离散时间系统的变结构控制问题, 在衰减控制的基础上, 提出了衰减变速趋近律和衰减幂次趋近律. 理论分析和仿真结果表明, 本文所提的方法是有效的, 既保证了闭环系统的渐进稳定性, 又大大减少了系统的抖动现象.     

离散时间系统变结构控制分段趋近律

对高为炳先生提出的离散时间系统变结构控制的趋近律进行改进,提出了系统状态在进入准滑动模态带内和带外分别采用不同趋近律的分段式趋近律,该趋近律符合高氏关于离散变结构控制到达条件的6个特点,采用该趋近律设计的系统运动最终趋近于原点,从而具有快速趋近和降低抖振的品质。仿真结果说明了该方法的有效性。     

一种离散时间系统变结构控制的新方法

研究离散时间系统变结构控制问题,提出一种新的离散变结构趋近律.利用该趋近律设计的离散变结构控制器,不仅能大幅度削弱抖振,使系统运动最终趋干原点不存在稳态振荡,而且可使系统的准滑动模态保持步步穿越切换面的基本属性,有效地改善了控制品质,提高了系统的鲁棒性.仿真结果验证了该方法的有效性与合理性.     

一种不确定离散时间系统的变结构控制方法

针对离散时间系统变结构控制中存在的问题，利用指数趋近律的趋近特性，提出一种新的离散变结构控制方法，利用递推估计的方法设计变结构控制律，有效地抵消了线性系统中慢变不确定性的影响，实现了对慢变非线性系统的控制，该方法克服了以往控制方法中需已知扰动上界的限制，降低了抖振，加快了趋近速度。仿真结果证明了该方法的有效性。     

基于跟踪微分器的离散滑模控制器

利用跟踪微分器设计了一种新的离散滑模控制器,可以从不连续的指令信号中合理提取连续信号及微分信号,且不需要利用线性外推的方法预测指令信号下一时刻的值及其微分．与基于趋近律的离散滑模控制器进行的对比仿真表明,所设计的控制器在保持传统滑模控制固有强鲁棒性的同时,控制器的输出几乎不存在抖振现象,而且在跟踪不连续的指令信号时,系统表现出良好的动态品质．     

Sliding mode control for two-time scale systems: stability issues

The paper presents some results on global exponential stability of linear time invariant systems with different time scales. The full system is decomposed in two reduced ones by means of singular perturbations and a smooth approximation of a Variable Structure Control is synthesized for each of them using Reaching Law approach. The global closed loop stability is then proved for the whole system using Lyapunov methods and a particular state space decomposition. Moreover a literal form for ε∗ (a parameter which measures the minimum separation between time scales) is derived.     

考虑重力影响的空间机械臂轨迹跟踪滑模控制

针对空间机械臂由地面装调到空间应用过程中重力环境发生变化的问题,使用滑模控制器对空间机械臂进行控制,通过将配置特殊的非线性结构-fal函数引入趋近律的设计中,提出一种新的基于趋近律的滑模控制方法,并基于李亚普诺夫理论证明了闭环系统的渐近稳定性。仿真结果表明该方法能够很好地完成不同重力环境下机械臂的轨迹跟踪控制任务,并具有较强的鲁棒性。     

Power rate exponential reaching law for enhanced performance of sliding mode control

In Sliding Mode Control (SMC), the control action can be split into two regions- the reaching phase and the sliding phase. Considerable research attention has been given to improve the reaching time so as to best utilize the benefit of robustness property of sliding mode motion. Attention has also been on alleviating and/or eliminating chattering during sliding mode motion so that smooth control is obtained which will not hinder practical applications. Exponential Reaching Law (ERL) is one of the methods reported in the literature for alleviating chattering in sliding mode. This paper proposes a Power Rate Exponential Reaching Law (PRERL) whereby substantial improvement both in reaching time and chattering alleviation are achieved compared to ERL. With ERL, the states do not settle at its desired position due to high frequency low magnitude chattering, thus limiting its practical utility. This drawback has been overcome in the PRERL method. Thus the benefits of the proposed method is many fold: reducing reaching time, improving chattering alleviation and ensuring settling of the states at its final position with considerable improvement in speed of response.     

基于滑模变结构的WSNs跨层拥塞控制算法

针对具有传输控制协议（TCP）传输机制的无线传感器网络（WSNs）节点拥塞问题,在传输层的基础上结合物理层的信噪比（SNR）参数来估计信道状况,不断调整传输模型,实现跨层控制。此跨层方法改变了以往的单层拥塞控制方法,充分利用了WSNs层与层的协作关系,并用基于自适应趋近律的离散滑模控制结构模型作为控制器,过程简单且易于实现。仿真结果表明：该跨层拥塞控制方法具有响应速度快、延迟小、鲁棒性好等特点。     

A systematic study of fuzzy PID controllers-function-basedevaluation approach

A function-based evaluation approach is proposed for a systematic study of fuzzy proportional-integral-derivative (PID)-like controllers. This approach is applied for deriving process-independent design guidelines from addressing two issues: simplicity and nonlinearity. To examine the simplicity of fuzzy PID controllers, we conclude that direct-action controllers exhibit simpler design properties than gain-scheduling controllers. Then, we evaluate the inference structures of direct-action controllers in five criteria: control-action composition, input coupling, gain dependency, gain-role change, and rule/parameter growth. Three types of fuzzy PID controllers, using one-, two- and three-input inference structures, are analyzed. The results, according to the criteria, demonstrate some shortcomings in Mamdani's two-input controllers. For keeping the simplicity feature like a linear PID controller, a one-input fuzzy PID controller with "one-to-three" mapping inference engine is recommended. We discuss three evaluation approaches in a nonlinear approximation study: function-estimation-based, generalization-capability-based and nonlinearity-variation-based approximations. The study focuses on the last approach. A nonlinearity evaluation is then performed for several one-input fuzzy PID controllers based on two measures: nonlinearity variation index and linearity approximation index. Using these quantitative indices, one can make a reasonable selection of fuzzy reasoning mechanisms and membership functions without requiring any process information. From the study we observed that the Zadeh-Mamdani's "max-min-gravity" scheme produces the highest score in terms of nonlinearity variations, which is superior to other schemes, such as Mizumoto's "product-sum-gravity" and "Takagi-Sugeno-Kang" schemes     

无刷直流电动机积分反演模糊滑模控制

针对普通的无刷直流电动机控制策略受电动机本身因素影响,难以达到理想效果的问题,介绍了一种积分反演自适应滑模变结构控制和模糊控制相结合的控制器。该控制器在滑模面中加入积分项,实现了对速度信号的无静差跟踪,提高了系统的稳态精度;用模糊控制器来解决切换控制增益设定只能靠经验的问题;采用模糊控制算法对不确定性进行估计,有效地减小了滑模控制方法带来的抖振;为了进一步提高控制性能,重新设计了趋近律。仿真结果表明,该控制器能够大幅提升无刷直流电动机控制系统的性能。     

Lyapunov functions and the control of the Euler-Bernoulli beam

A controller for the Euler-Bernoulli beam is derived using the complete distributed model along with a Lyapunov function approach. Model structure is therefore preserved in the control law whose parameters can be used to balance two different types of behaviour: the gross motion of the beam and the vibration superimposed on it. In the limiting case of a rigid beam, these two types of behaviour become indistinguishable and so the controller reduces to a proportional feedback law. This approach also guarantees that the controller provides asymptotic trajectory tracking for smooth initial conditions. Also, since it is not constrained to linear systems it could, in principle, be used for multi-link flexible robot systems.     

一种新的机器人轨迹跟踪滑模变结构控制

该文在传统变结构控制趋近律的基础上，提出一种快速平滑趋近律，并作仿真比较；同时对其滑动模态作改进，引入非线性项，提出一种快速收敛滑动模态。在选择滑动模态的切换方式后，将新的变结构控制器应用于机器人的轨迹跟踪控制中，在对系统的抗干扰能力进行分析后，作了相应的仿真研究。