一種時(shí)滯網(wǎng)絡(luò)自適應(yīng)主動隊(duì)列管理算法研究
Research on Active Queue Management of Delay Network Based on Adaptive Control
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摘要: 主動隊(duì)列管理(AQM)算法的自適應(yīng)能力和克服滯后性不良影響的能力是該文研究的重點(diǎn)。在分析AQM采用傳統(tǒng)PID存在的問題的基礎(chǔ)上，提出了一種時(shí)滯網(wǎng)絡(luò)的自適應(yīng)主動隊(duì)列管理(FAGPID)算法。由模糊控制器實(shí)現(xiàn)PID參數(shù)對動態(tài)網(wǎng)絡(luò)環(huán)境的在線自適應(yīng)調(diào)整；成功引入灰預(yù)測算法實(shí)現(xiàn)反饋數(shù)據(jù)的超前預(yù)測，補(bǔ)償滯后。仿真對比AQM環(huán)境中FAGPID，傳統(tǒng)PID以及基于模糊免疫PID(FIGPID)的算法，可知FAGPID相對于FIGPID復(fù)雜度低，但FAGPID與FIGPID性能相當(dāng)，均能克服滯后的影響，能快速穩(wěn)定地適應(yīng)動態(tài)網(wǎng)絡(luò)環(huán)境，收斂于期望隊(duì)列長度，具有較小的丟包率，優(yōu)于傳統(tǒng)PID算法。Abstract: Enhancing Active Queue Management (AQM) algorithms self-adapting and overcoming network delays poor effect are research emphases. After analyzing traditional PID control algorithms limitation, a novel active queue management algorithm for delay network based on Fuzzy Adaptive PID control and Gray-prediction (FAGPID) is proposed, which can achieve PID parameters on-line self-adapting by fuzzy control under the dynamic delay network circumstances. And, a gray-prediction algorithm is successfully introduced into feedback datas advanced prediction to compensate delay. Contrasted with traditional PID and FIGPID (Fuzzy Immue Gray-prediction PID) by simulations, FAGPID has equivalent performance to FIGPID and has better performance than traditional PID control. Both FAGPID and FIGPID can converge to queue size-setting value rapidly and stably, and get lesser packets loss rate, but FAGPIDs algorithm complexity is lower.
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