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基于混杂系统Petri网模型的化工生产开车过程描述 总被引:2,自引:0,他引:2
研究了基于递阶模型的混合动态系统描述方法,针对化工生产开车过程,建立了由协调层和监控层组成的递阶模型结构,根据各层的动态特性,分别采用了赋时Petri网和混合Petri网进行了具体的描述。并以合成革生产DMF溶剂回收开车过程为例进行了具体的讨论。 相似文献
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资源配置混杂Petri网的混杂系统生产过程动态调度 总被引:1,自引:0,他引:1
为了增强混杂生产过程应对突发事件的能力,以一种新的混杂Petri网(资源配置混杂Petri网)为研究模型,给出了相应的使能和激发规则.并在资源配置混杂Petri网建立的仿真模型的基础上,融入事件逻辑网和逻辑规划,提出一种适用于混杂系统动态生产调度建模和优化的方法.以典型的混杂生产过程为例,研究混杂系统生产过程建模及优化.研究结果表明,资源配置混杂Petri网模型描述能力强,能够有效描述混杂系统生产过程,所提出的动态调度方案切实有效. 相似文献
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为了增强混杂Petri网模型描述能力和克服一阶混杂Petri网模型语义错误的问题,定义一种新的混杂Petri网模型——广义混杂Petri网,提出了相应的迁移使能和迁移引发语义.通过划分标识等价类提出了广义混杂Petri网连续迁移瞬时引发速率的有效求解方法和模型行为演变分析方法.给出了广义混杂Petri网模型的混杂系统建模实例,同时结合模型行为演变和线性规划实现了混杂系统的优化控制.研究结果表明,所定义的模型描述能力更强,模型语义正确合理.能够有效描述和分析混杂系统. 相似文献
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郭辉 《数字社区&智能家居》2010,6(16):4518-4519
混合Petri网是一种数形结合的建模工具,可以表示离散事件系统和连续时间系统在同一层次的直接交互。该文在给出HPN基本概念、IFS向量和相图分析方法的基础上,针对一个具体的化工间歇过程,建立HPN模型和相图,系统描述了这个化工过程的混杂动态特性。结果验证了本方法的可行性和有效性,为化工间歇过程的建模、仿真和分析提供了一种新途径,具有较高的理论和应用价值。 相似文献
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针对Petri网自带信息不足、硬件描述能力弱以及systemC无可视性等缺陷,将Petri网与systemC相结合来进行系统级建模。通过分析Petri网和systemC的相似点,建立Petri网和systemC的映射关系,以便于将Petri网描述的系统模型转化为systemC代码。同时,使用层次建模的方法防止状态爆炸。通过以上方式建立系统级模型,描述片上系统(SoC)嵌入式系统软硬件状态,作为可执行的系统级描述。 相似文献
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应用双模型混合Petri网描述与分析容错计算机系统。在分析容错系统的可靠性时,把复杂的混合Petri网模型简化为GSPN模型,并利用GSPN与马尔可夫链同构的性质,来计算系统的可靠性。 相似文献
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研究了热轧带钢自动厚度控制(AGC)的鲁棒控制问题.为了消除轧制过程中其它变量对厚度控制精度的影响,提出了一种基于H∞/H2的多变量约束控制策略.首先,采用高阶未建模扰动对控制输入传函的H∞范数作为鲁棒性能指标,张力与活套等约束量对输出评价信号传函的H2范数作为LQG性能指标,建立了受约束的厚度控制模型.其次,设计了H∞/H2状态反馈鲁棒控制器,把受约束的AGC控制转化为系统在模型摄动与外界扰动下满足一定性能指标的鲁棒控制问题.最后,仿真结果表明,所设计的H∞/H2控制器具有良好的鲁棒控制特性. 相似文献
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Ali Karimoddini Hai Lin Ben M. Chen Tong H. Lee 《International journal of control》2013,86(9):1779-1793
In this paper, we propose a hybrid modelling and control design scheme for an unmanned helicopter. This control structure has a hierarchical form with three layers: the regulation layer, the motion planning layer, and the supervision layer. For each layer, a separate hybrid controller has been developed. Then, a composition operator is adopted to capture the interactions between these layers. The resulting closed-loop system can flexibly command the helicopter to perform different tasks, autonomously. The designed controller is embedded in the avionic system of an unmanned helicopter, and actual flight test results are presented to demonstrate the effectiveness of the proposed control structure. 相似文献
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Li H. Karray F. Basir O. Insop Song 《IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans : a publication of the IEEE Systems, Man, and Cybernetics Society》2008,38(3):534-548
In this paper, a framework is proposed for the distributed control and coordination of multiagent systems (MASs). In the proposed framework, the control of MASs is regarded as achieving decentralized control and coordination of agents. Each agent is modeled as a coordinated hybrid agent, which is composed of an intelligent coordination layer and a hybrid control layer. The intelligent coordination layer takes the coordination input, plant input, and workspace input. In the proposed framework, we describe the coordination mechanism in a domain-independent way, i.e., as simple abstract primitives in a coordination rule base for certain dependence relationships between the activities of different agents. The intelligent coordination layer deals with the planning, coordination, decision making, and computation of the agent. The hybrid control layer of the proposed framework takes the output of the intelligent coordination layer and generates discrete and continuous control signals to control the overall process. To verify the feasibility of the proposed framework, experiments for both heterogeneous and homogeneous MASs are implemented. The proposed framework is applied to a multicrane system, a multiple robot system, and a MAS consisting of an overhead crane, a mobile robot, and a robot manipulator. It is demonstrated that the proposed framework can model the three MASs. The agents in these systems are able to cooperate and coordinate to achieve a global goal. In addition, the stability of systems modeled using the proposed framework is also analyzed. 相似文献
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This paper addresses an open control problem: the control of sandwich non-smooth nonlinear systems. Of interest are sandwiched non-smooth nonlinearities between linear dynamic blocks, as illustrated by a hydraulic valve system with a sandwiched dead-zone. A hybrid control scheme for the control of such sandwich systems is developed and presented in detail. The proposed control scheme employs an inner-loop discrete-time feedback design and an outer-loop continuous-time feedback design, combined with a nonlinearity inverse, to cancel the nonlinearity effect, for improving output tracking. The stability and tracking performance of the closed-loop control system are analyzed. Simulations are used to illustrate the effectiveness of the proposed hybrid control design 相似文献
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介绍大型化工装置控制系统的升级改造全过程,着重阐述通过三层交换机实现各系统之间互联的过程,达到系统升级、扩容和装置互联的各种要求,提高了全装置的可靠性和可操作性。 相似文献
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Hybrid Fuzzy Modelling for Model Predictive Control 总被引:1,自引:0,他引:1
Gorazd Karer Gašper Mušič Igor Škrjanc Borut Zupančič 《Journal of Intelligent and Robotic Systems》2007,50(3):297-319
Model predictive control (MPC) has become an important area of research and is also an approach that has been successfully
used in many industrial applications. In order to implement a MPC algorithm, a model of the process we are dealing with is
needed. Due to the complex hybrid and nonlinear nature of many industrial processes, obtaining a suitable model is often a
difficult task. In this paper a hybrid fuzzy modelling approach with a compact formulation is introduced. The hybrid system
hierarchy is explained and the Takagi–Sugeno fuzzy formulation for the hybrid fuzzy modelling purposes is presented. An efficient
method for identifying the hybrid fuzzy model is also proposed. A MPC algorithm suitable for systems with discrete inputs
is treated. The benefits of the MPC algorithm employing the hybrid fuzzy model are verified on a batch-reactor simulation
example: a comparison between the proposed modern intelligent (fuzzy) approach and a classic (linear) approach was made. It
was established that the MPC algorithm employing the proposed hybrid fuzzy model clearly outperforms the approach where a
hybrid linear model is used, which justifies the usability of the hybrid fuzzy model. The hybrid fuzzy formulation introduces
a powerful model that can faithfully represent hybrid and nonlinear dynamics of systems met in industrial practice, therefore,
this approach demonstrates a significant advantage for MPC resulting in a better control performance. 相似文献