CAJ | 학술논문

为解决网络拥塞控制系统中由于网络大时滞对主动队列管理算法产生不利影响的问题,提出了一种基于Smith预估的模糊PID主动队列管理算法.该算法将Smith预估控制与模糊控制相结合,利用Smith预估器补偿网络时滞,同时运用模糊控制在一定程度上克服了传统Smith预估器对模型结构与参数的精确性过于敏感、鲁棒性差的缺点,使主动队列管理算法控制性能有明显提高.仿真实验结果表明,该算法在大时滞的网络环境下能很好地将路由器队列长度收敛于期望值,并能适应突发流和非弹性业务流的干扰,适用于动态变化的网络环境.
위해결망락옹새공제계통중유우망락대시체대주동대렬관리산법산생불리영향적문제,제출료일충기우Smith예고적모호PID주동대렬관리산법.해산법장Smith예고공제여모호공제상결합,이용Smith예고기보상망락시체,동시운용모호공제재일정정도상극복료전통Smith예고기대모형결구여삼수적정학성과우민감、로봉성차적결점,사주동대렬관리산법공제성능유명현제고.방진실험결과표명,해산법재대시체적망락배경하능흔호지장로유기대렬장도수렴우기망치,병능괄응돌발류화비탄성업무류적간우,괄용우동태변화적망락배경.
To solve the problem of the negative impact on the performance of active queue management (AQM) in network caused by large delay, a fuzzy PID AQM algorithm is proposed based on Smith predictor. This algorithm combines fuzzy PID control and Smith predictor control, the Smith predictor is utilized to compensate the time-delay, while fuzzy PID is utilized to overcome the disadvantage of highly sensitive to precise model and parameter, lack of robustness in the traditional Smith predictor to a certain extent. The performance of control in large delay network is improved. The simulation result show that the new algorithm control the size of the queue in the buffer to an expected length. It could adapt the disturbance caused by burst and nonelastic traffic, and be suitable for dynamic network environment.