Simulation and computation results have shown that the optimal pid controller provides good control performance in terms of stochastic disturbance rejection , set - point tracking , and strong robustness . 4 仿真結(jié)果表明綜合尋優(yōu)得到的pid控制器在抑制隨機(jī)干擾和設(shè)定值跟蹤方面有良好的控制性能,也有很好的魯棒性。
Meanwhile , caused by the stochastic disturbances and measurement errors , monitoring model based on single measurement value of individual sampling time tends to lack credibility and stability , and can ' t reflect the overall phase - specific operation state 同時,由于各種隨機(jī)擾動的影響及測量誤差的存在,針對單一采樣時刻的過程測量值進(jìn)行建模往往不能保證足夠的可靠性與穩(wěn)定性,無法實時反映過程時段整體運行情況。
The stochastic disturbance is brought to the deformable models and the simulated annealing is introduced to the iteration process . a new algorithm named sa snake ( simulated annealing snake ) is proposed . the algorithm has the ability to search globally 為了解決這個問題,我們在可變形模型中加入隨機(jī)擾動因素,考慮在迭代過程引入模擬退火的思想,提出了一種稱之為基于模擬退火的可變形模型sasnake ( simulatedannealingsnake )的新算法,算法具有全局搜索能力。
Abstract : the most critical task in designing a model based on predictive controller is identifying a reasonably good process model . the identification model of mould level of a continuous casting line in a steel plant is very difficult . due to the extremely high stochastic disturbance level , well - known parametric identification methods using random step function , prbs or stochastic test inputs are not successful . the present method based on orthogonal test inputs gives satisfactory results 文摘:在設(shè)計一種基于預(yù)測控制器模型時,最關(guān)鍵的工作是識別一個合理可靠的過程模型.在鋼鐵廠的連續(xù)鑄造線上識別鑄模液位模型是很困難的,由于極高的隨機(jī)干擾水平,使得眾所周知的隨機(jī)階躍函數(shù), prbs或隨機(jī)試驗輸入等參數(shù)識別方法都以失敗告終.而本文介紹的基于正交檢測的方法給出了令人滿意的結(jié)果
Results of these researches indicate that adaptive control can efficiently reduce system ' s influences caused by model ' s uncertainties , stochastic disturbances , and quantified measuring noises . meanwhile , adaptive control can help the steering system acquire excellent performances of power - assisted and portability characteristics ; the suspension system has a good performance of reducing vibration , and can improve dynamical character of a full vehicle 研究結(jié)果表明,自適應(yīng)控制能夠有效解決模型的不確定性、隨機(jī)擾動和量測噪聲對系統(tǒng)的影響,使轉(zhuǎn)向系統(tǒng)具有良好的助力性能和轉(zhuǎn)向輕便性,懸架系統(tǒng)具有較優(yōu)的減振性能,從而改善了整車動力學(xué)性能。