An Adaptive Fuzzy Scheduling and Fuzzy-PID Perfomance Control Model Being Suitable to Soft Real-Time Systems

Xian-Bo He, Li Yang, Xian-hua Zeng, Gang-yuan Zhang, Xingmei Zhao
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Abstract

Considering the unsteadiness and unpredictability of a practical task running environment due to the unsteadiness of network communication and the estimation deviation, it is necessary to introduce fuzzy concept and theory to the scheduling and performance control of the soft real-time application systems oriented communication and network fields. In this paper, a new adaptive soft real-time task scheduling model with the fuzzy-PID feedback controller was presented. In this model, we used the fuzzy scheduling algorithm in which the scheduling turn of a ready task is decided by the fuzzy inference result of its criticality and deadline distance. Meanwhile,in the adaptive control part, we used the fuzzy-PID controller that combines the fuzzy feedback controller and PID controller instead of traditonal PID controller. The simulation test shows that our presented model can enable a soft real-time systems which has the mulit-level service characteristic reach the steady state faster and has less miss ratio to more important tasks.
一种适用于软实时系统的自适应模糊调度和模糊pid性能控制模型
考虑到实际任务运行环境由于网络通信的不稳定性和估计偏差造成的不稳定性和不可预测性,有必要将模糊概念和理论引入面向通信和网络领域的软实时应用系统的调度和性能控制中。提出了一种基于模糊pid反馈控制器的自适应软实时任务调度模型。在该模型中,我们使用模糊调度算法,其中就绪任务的调度回合由其临界性和截止时间距离的模糊推理结果决定。同时,在自适应控制部分,我们使用模糊反馈控制器和PID控制器相结合的模糊PID控制器来代替传统的PID控制器。仿真试验表明,该模型能使具有多级服务特性的软实时系统更快地达到稳态,对更重要的任务具有更低的失误率。
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