共查询到19条相似文献,搜索用时 62 毫秒
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内模控制系统的参数优化对提高工业生产效率意义重大.内模控制系统的产生随控制对象的状态变化而发生变化,随着控制过程复杂程度的增加,控制对象的不稳定状态极具增加,控制参数发生不可控突变.传统的参数控制方法采用补偿技术控制参数突变,但是,这种补偿存在较为明显的滞后性,属于后发式控制,容易形成过控制和欠控制等弊端.为解决上述问题,提出一种控制器和稳定器的参数化设计方法,针对对象不稳定的改进内模控制系统,利用基于传递函数互质分解的频域理论,在保证内稳定性及鲁棒无差跟踪一般性结论的基础上,推导得到所有满足条件的控制器和稳定器的参数化表达式,在众多满足一般性结论的控制器集合中找寻最优控制器,进一步实现系统跟踪性能,抗扰性及鲁棒性能上的优化,最后通过Matlab/Simulink仿真平台进行仿真,验证了所得结论的真实性和可靠性.提出的参数化优化方法可进一步应用于其它内模控制系统的扩展中,优化了参数控制过程. 相似文献
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针对复杂高阶对象提出了一种基于数值最优模型降阶方法,并基于这种降阶模型设计了预测PID控制器,将此控制器应用于原始模型能够得到很好地控制效果。数值最优模型降阶算法使高阶对象能近似为一阶加时滞对象或二阶加时滞对象,通过模型阶跃响应和Bode图对比,降阶模型曲线很好地逼近原始模型曲线。预测PID对大时滞对象有着很好地控制效果,模型降阶使得预测PID很好地控制复杂高阶对象,且其结构简单,可调参数少的特点。 相似文献
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In this paper, a proportional-integral-derivative controller in series with a lead-lag filter is designed for control of the open-loop unstable processes with time delay based on direct synthesis method. Study of the performance of the designed controllers has been carried out on various unstable processes. Set-point weighting is considered to reduce the undesirable overshoot. The proposed scheme consists of only one tuning parameter, and systematic guidelines are provided for selection of the tuning parameter based on the peak value of the sensitivity function (Ms). Robustness analysis has been carried out based on sensitivity and complementary sensitivity functions. Nominal and robust control performances are achieved with the proposed method and improved closed-loop performances are obtained when compared to the recently reported methods in the literature. 相似文献
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De‐Jin Wang 《Asian journal of control》2009,11(5):564-570
This article deals with the problem of determination of the stabilizing parameter sets of Proportional‐Integral‐Derivative (PID) controllers for first‐order and second‐order integral processes with time‐delay. First, the admissible stabilizing range of proportional‐gain is determined analytically in terms of a version of the Hermite–Biehler Theorem applicable to quasi‐polynomials. Then, based on a graphical stability condition developed in parameter space, the complete stabilizing regions in an integral‐derivative plane are drawn and identified graphically, not calculated mathematically, by sweeping over the admissible range of proportional‐gain. An actual algorithm for finding the stabilizing parameter sets of PID controllers is also proposed. Simulations show that the stabilizing regions in integral‐derivative space are either triangles or quadrilaterals. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society 相似文献
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时滞过程改进型Smith预估器的整定 总被引:7,自引:1,他引:7
证明Majhi和Atherton(1999)文所提出的改进型Smith预估器等价于一改进的内模控制结构 (IMC), 并对该结构提出一种三阶段设计方法. 为获得扰动抑制和稳定鲁棒性的均衡, 采用了鲁棒控制方法来整定反馈环控制器. 针对某些典型的积分和不稳定时滞过程的设计表明所提方法能获得较好的扰动抑制和稳定鲁棒性的均衡. 相似文献
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In this paper, optimal H2 internal model controller (IMC) is designed for control of unstable cascade processes with time delays. The proposed control structure consists of two controllers in which inner loop controller (secondary controller) is designed using IMC principles. The primary controller (master controller) is designed as a proportional-integral-derivative (PID) in series with a lead-lag filter based on IMC scheme using optimal H2 minimisation. Selection of tuning parameter is important in any IMC based design and in the present work, maximum sensitivity is used for systematic selection of the primary loop tuning parameter. Simulation studies have been carried out on various unstable cascade processes. The present method provides significant improvement when compared to the recently reported methods in the literature particularly for disturbance rejection. The present method also provides robust closed loop performances for large uncertainties in the process parameters. Quantitative comparison has been carried out by considering integral of absolute error (IAE) and total variation (TV) as performance indices. 相似文献
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Fuzzy predictive PI control for processes with large time delays 总被引:1,自引:0,他引:1
This paper presents the design, tuning and performance analysis of a new predictive fuzzy controller structure for higher order plants with large time delays. The designed controller consists of a fuzzy proportional-integral (PI) part and a fuzzy predictor. The fuzzy predictive PI controller combines the advantages of fuzzy control while maintaining the simplicity and robustness of a conventional PI controller. The dynamics of the prediction term are adaptive to the system's time delay. The prediction term has two parts: a fuzzy predictor that uses the system time delay as an input for calculating the prediction horizon and an exponential term that uses the prediction horizon as its positive power. The prediction term also introduces phase lead into the system which compensates for the phase lag due to the time delay in the plant, thereby stabilizing the closed-loop configuration. The performance of the proposed controller is compared with the responses of the conventional predictive PI controller, showing many advantages of the new design over its conventional counterpart. 相似文献