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中厚板轧机液压厚度控制系统是一个具有抗扰性的控制系统,但系统响应速度过慢,轧机出口有较大厚度偏差。基于传递函数理论,建立了液压AGC系统的动态数学模型,对带有常规PID控制器和模糊自校正PID控制器的厚度控制系统进行了仿真研究。仿真结果表明,模糊自校正PID控制器具有更好的控制效果,系统具有更强的鲁棒性。 相似文献
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提高控制系统鲁棒性的一种有效的方法是应用自适应控制.本文结合通用模型控制策略(Common Model Control-CMC),应用小波神经网络(Wavelet Neurall Network-WNN)自适应控制方法实现对被控对象的逆控制,从而提出基于小波神经网络的通用模型自适应控制(Common Modlel Adaptive Control-CMAC).基于小波神经网络的自适应控制器能产生复杂的控制规律,能更精确地逼近非线性被控对象,也克服了通用模型控制策略要求过程一阶微分模型应该有显式解的局限性.该控制策略的参考轨迹是一条典型的二阶曲线,仿真结果验证了该控制策略的有效性. 相似文献
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作为对经典自适应控制改进的控制方法,多模型自适应控制是解决复杂的大范围参数不确定系统的一种有效途径,并在理论和实践中取得了丰富成果。依据控制器集的不同综合策略,其被分为多种类型,本文旨在对加权型的多模型自适应控制进行综述。加权多模型自适应控制的基本思路是采用“分而治之”的办法,离线建立多个局部模型和对应的多个局部控制器,在线加权融合各个局部控制器的控制输出,从而形成全局控制,是实现鲁棒自适应控制的一类重要方法。首先比较详细地介绍了加权多模型自适应控制研究的历史及现状,然后给出相关研究的新进展和一些观点,包括新的加权算法和相应的加权多模型自适应控制系统的稳定性结果等,最后指出未来的几个研究方向。 相似文献
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针对在太空强干扰环境下工作的三轴稳定卫星姿态控制问题,将间接自适应模糊鲁棒控制应用于卫星的姿态稳定控制中,给出了实现方法.用自适应模糊控制器逼近被控对象的数学模型,并在控制量中加入鲁棒控制项用于抑制扰动,使系统具有更强的鲁棒性.针对挠性卫星设计了间接自适应模糊鲁棒控制器,推导了参数自适应律.仿真结果表明,该方法能够有效抑制扰动,且具有较好的动态与静态品质. 相似文献
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基于电弧炉电极非线性和时变性的特点,在原有电弧炉电极自适应控制的基础上,提出了电弧炉电极的嵌入型无模型自适应控制(Model-free adaptive control,MFAC).模块化的设计可以不影响原有的自适应控制系统,嵌入型无模型非参数自适应控制方法比单一的有模型或无模型自适应控制方法的跟踪性能更好.仿真结果进一步验证了该方法的有效性. 相似文献
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自适应模糊模型在非线性系统中的仿真研究 总被引:1,自引:0,他引:1
严明 《有色冶金设计与研究》2011,32(4):87-90
针对一类仿射单输入单输出非线性系统采用模糊控制、模糊逻辑系统逼近和滑模控制相结合的模糊控制器,利用滑模控制及Lyapunov函数方法提出了直接模糊自适应控制方案。直接自适应控制器充分利用模糊控制规则,通过仿真表明该方法具有较好的跟踪性,能保证闭环系统稳定,跟踪误差收敛,具有一定的鲁棒性,系统中所涉及的所有变量有界,系统的跟踪误差渐近收敛于零或零的一个邻域内。 相似文献
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为确保网络控制系统中传输数据的完整性、实时性、机密性和可用性,提高系统对抗数据攻击的能力,提出了一种基于MD5散列码、时间戳和AES加密算法的数据安全传输策略,该策略兼顾了系统中控制器端和被控对象端数据传输的安全性和实时性.并从控制策略的角度出发,考虑在系统遭受到数据攻击后,采用基于网络回路时延的网络预测控制方法对数据攻击进行补偿,使系统在受到一定强度的数据攻击后仍然能够进行稳定的控制,从而提高网络控制系统应对攻击的能力.采用S100-1实训平台管道压力控制系统验证了基于安全传输策略的网络化预测控制系统有较好的安全性和抗数据攻击能力. 相似文献
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Nowadays, more and more field devices are connected to the central controller through a serial communication network such as fieldbus or industrial Ethernet.Some of these serial communication networks like controller area network (CAN) or industrial Ethernet will introduce random transfer delays into the networked control systcms (NCS), which causes control performance degradation and even system instability.To address this problem, the adaptive predictive functional control algorithm is derived by applying the concept of predictive functional control to a discrete state space model with variable delay.The method of estimating the networkinduced delay is also proposed to facilitate the control algorithm implementing.Then, an NCS simulation research based on TrueTime simulator is carried out to validate the proposed control algorithm. The numerical simulations show that the proposed adaptive predictive functional control algorithm is effective for NCS with random delays. 相似文献
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加热炉温度是钢厂中重要控制参数之一,温度控制系统具有非线性、时变性、滞后性等特性.利用COM组件技术,运用MCGS(Mon itor and Control Generated System)组态软件的可视化画面制作技术,利用MATLAB软件的丰富算法来完成模糊自适应PID控制,实现了稳定的温度控制系统的人机界面.结果表明,不仅获得强鲁棒性、强抗干扰性和满意的控制性能,同时提高了实时控制能力,方便地用于实际工业控制中. 相似文献
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《钢铁研究学报(英文版)》2015,(6)
Blast furnace(BF)ironmaking process has complex and nonlinear dynamic characteristics.The molten iron temperature(MIT)as well as Si,P and S contents of molten iron is difficult to be directly measured online,and large-time delay exists in offline analysis through laboratory sampling.A nonlinear multivariate intelligent modeling method was proposed for molten iron quality(MIQ)based on principal component analysis(PCA)and dynamic genetic neural network.The modeling method used the practical data processed by PCA dimension reduction as inputs of the dynamic artificial neural network(ANN).A dynamic feedback link was introduced to produce a dynamic neural network on the basis of traditional back propagation ANN.The proposed model improved the dynamic adaptability of networks and solved the strong fluctuation and resistance problem in a nonlinear dynamic system.Moreover,a new hybrid training method was presented where adaptive genetic algorithms(AGA)and ANN were integrated,which could improve network convergence speed and avoid network into local minima.The proposed method made it easier for operators to understand the inside status of blast furnace and offered real-time and reliable feedback information for realizing close-loop control for MIQ.Industrial experiments were made through the proposed model based on data collected from a practical steel company.The accuracy could meet the requirements of actual operation. 相似文献
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首先从浸出机理环节展开,维持浸出液pH值在3.5~5范围内则可最大限度地减少稀土原料的损失,运用数学方法建立了浸出和除杂过程相应的pH数学模型;然后通过模型的特性分析设计了系统的总体方案;最后为了实现对工艺pH值的控制,采用模糊控制结合增量数字PID的方式对系统进行控制,并对该参数自整定模糊PID进行Matlab仿真实验.仿真结果显示系统稳态误差小,响应时间也较普通控制方式短,验证了该控制策略的有效性与先进性. 相似文献
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借鉴生物免疫反馈响应过程的调节作用和模糊推理逻辑可逼近非线性函数的特性,提出将模糊免疫PID控制策略应用到工业电加热炉的温度控制系统中。仿真研究表明,该方法的控制效果优于常规的PID控制,能适应对象参数的变化并表现出良好的控制品质,即使发生扰动时也具有较强的鲁棒性和自适应能力。 相似文献
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The effect of the relation between the thermal delay of a container (with a half-finished product and a backfill) and the sensitivity of a control system to the temperature field of the half-finished product for the production of artificial graphite is investigated by mathematical modeling. The effect of the design time step (Δτ) on the results of mathematical modeling is also studied. The modeling results for the delayless control system of a burning kiln are demonstrated to be practically independent of Δτ. In the case of the finite sensitivity of the control system, temperature fluctuations, which are generated by the system, penetrate deeply into the container as the thermal delay of the container (thickness of the backfill layer) decreases. However, it is possible to reveal that computationally at small Δτ because large time steps give a smoothed pattern with monotonic tendencies corresponding to actuality only at a significant thickness of the backfill layer. It is also determined that the convergence rate of the iteration algorithm in the computation is high enough when Δτ is substantially greater or less than the time of modeled periodic processes. If these quantities are of one order of magnitude, the algorithm may be cyclic or the required number of iterations may rise by several orders of magnitude. 相似文献