self-tuning control 中文意思是什麼

self-tuning control 解釋
自校正控制
  • self : n (pl selves )1 自己;自身;本身;【哲學】自我;我。2 本性;本質。3 私利;私心,私慾。4 〈俗〉...
  • tuning : n. 1. 【音樂】調音[弦]。2. 【無線電】調諧;收聽。
  • control : n 1 支配,管理,管制,統制,控制;監督。2 抑制(力);壓制,節制,拘束;【農業】防治。3 檢查;核...
  1. Self - tuning predictive compensating control of the water content of material slurry

    料漿水分含量的自校正預測補償控制
  2. The neuron control method with self - tuning gain is proposed for a ph neutralization process. in this control system, the fuzzy t - s model is used to predict the control signal. the neuron controller gain is calculated according to the parameter estimation and experience formulas

    針對具有嚴重非線性特性的ph中和過程,提出了一種模糊增益自整定神經元控制方法,這種方法採用t - s模糊推理估計下一時刻的控制量,並通過參數估計和經驗公式來計算出神經元控制器的增益。
  3. Regarding the hysteretic properties and time - varying of the system, the scan round performance of the controller, adopt incremental pid algorithm in constant - pressure controlling and combine it with the integral - separated dead - zone algorithm as appropriate for the situation of the measuring system and applies fuzzy self - tuning to control pid controller parameters

    由於系統的滯后時變性和控制器的循環掃描工作方式,恆壓控制採用增量式pid控制演算法,結合測量系統實際情況加入積分分離帶死區改進演算法,並對pid參數進行模糊自整定控制,設計了一種參數自整定模糊pid控制器。
  4. The self - tuning algorithm of the parameter adopts eigenvalue of the systemic error and derivative error and so on. thus this method can overcome the disadvantage of the previous method which make the calibrating date not match up to the moveable track of the system, and improve the adaptability, rapidity and robustness of the human simulating intelligent control ' s algorithm

    該方法將誤差、誤差導數等特徵量引入參數在線校正公式,克服了以往採用盲目搜索法時校正量與系統實際運行軌跡不匹配的缺點,提高了仿人智能演算法的適應性,快速性和魯棒性。
  5. The main contents include : with combination of z - n pid self - tuning formula and relay self - adaptation control methods, the pid parameters of weld area of furnace is given automatically

    論文研究工作主要包括:結合z ? npid自整定公式和繼電自整定控制方法,自動整定加熱爐焊接區的pid參數。
  6. Abstract : reviews the methods of defrosting control of air source heat pumps, puts forward the idea of self - tuning fuzzy defrosting control, and presents the fundamental construction, the method for determining the input domain and converting input parameters to fuzzy data

    文摘:回顧了空氣熱源熱泵除霜控制方法,提出了自調整模糊除霜控制的思想,介紹了系統的基本結構,輸入論域的確定,輸入量的模糊化和模糊推理方法。
  7. On the basis of researching pid control and its self - tuning methods, fuzzy self - adaptive pid control methods, the transplantation and software development of embedded real - time operation system and other aspects, a temperature control system is designed and tested for the die bonder

    本文在研究pid控制及其自整定方法、模糊自適應pid控制方法、嵌入式實時操作系統c os -的移植和軟體開發等方面的基礎上,設計了粘片機的溫控系統。
  8. Then, as the substitute of the traditional pi controller, neuron adaptive psd controller is used to alternate the velocity loop of dc driver system, simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly, in addition, through analysis of the character of the neuron adaptive psd controller, the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly,

    然後,應用單神經元自適應psd控制器改造調速系統的轉速環,代替傳統pi調節方式的轉速控制器。模擬表明,新系統在超調、抗負載擾動和參數時變方面性能優于的傳統的pi控制方式,系統的魯棒性增強。在分析單神經元自適應psd控制器特性后,本文提出用對角遞歸神經網路辯識控制對象,為psd控制器提供靈敏度參數,從而構成一神經網路自校正控制方案。
  9. To reappear stochastic waveform on esvrst in time field, the minimum variance implicit self - tuning regulators of siso and mimo systems are deduced based on carma models in this paper. the robustness of the regulator being used to control esvrst is validated good

    本文推導了在時域內對電液伺服道路模擬試驗臺進行隨機波形再現控制時,基於carma模型的,單輸入單輸出系統和多輸入多輸出系統的,隱式最小方差自校正調節器。
  10. The core of the thermostat is pic16f873a mcu, with abundant on - chip peripheral equipment and the software. it has carried out some advanced function at least hardware cost such as the control parameter self - tuning, sensor identification and failure diagnosis, and is very easy to use

    在硬體上,以微控制器為核心,利用pic16f873a集成了豐富的片上外設資源的特點,以最小硬體成本,配合系統軟體實現了pid控制參數自整定以及在線自動調整、傳感器類型識別及故障診斷等高級功能,十分方便用戶使用。
  11. A self - tuning control for the aeroengine is proposed

    提出了航空發動機的自校正控制方案。
  12. Self - tuning control

    自校正控制
  13. The self - tuning fuzzy control algorithm including a back - propagation - based fuzzy controller and the gradient descent method is applied to reduce the pitch motion of the swath ship with control stabilizing fins

    控制模式為一自調模糊控制,包括應用一類神經倒傳遞觀念的模糊控制器及梯度下降法來減少縱搖運動。
  14. Simulation of speed - adjustment system on neural network self - tuning control for brushless dc motor

    基於神經網路的無刷直流電機調速系統的模擬
  15. It provides an effective way to realize self - tuning control in air - conditioning systems

    該辨識演算法為空調對象的自適應控制提供了重要的手段。
  16. The parameters estimation with the least square method is applied to the open speed system. the least square estimation with forgetting factor and the least square error self - tuning control are applied to the close speed system and controller parameters arc obtained from estimation parameters directly

    採用最小二乘參數估計演算法對某渦扇發動機低壓轉速進行開環辨識,採用帶遺忘因子的最小二乘估和直接獲得控制器參數的自校正控制對該系統進行閉環控制。
  17. Based on compensation control thought, through using neural network pid controller as compensation tache of traditional pid controller, a kind of hybrid pid controller is designed. combined with neural network, self - tuning control can realized better control over non - linear system. utilizing the advantages of fuzzy control and neural network control, a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line. at last, the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized. the simulation results show that it has better performance than traditional pid controller. at the same time, it provides some reference for the control of other similar systems

    在此基礎上,基於補償控制思想,利用神經pid對傳統pid進行補償,設計了一種混合pid控制器;神經網路與自校正控制的結合,使得自校正方法能對非線性系統實現比較理想的控制效果;利用模糊控制與神經網路控制各自的優點,提出了一種基於快速bp演算法的神經網路自適應模糊控制器,能夠對系統進行在線控制。最後將混合pid控制應用於h型鋼連軋機張力系統中,實現微張力控制,模擬結果說明其較傳統pid具有更好的性能,同時也為其它類似系統的控制提供一些參考。
  18. ( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems. two types of drnn controllers are designed using the experimental samples, which are named the open - loop controller and the close - loop controller respectively. the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy

    6 .本文對基於神經網路的非線性動態系統自適應控制方法進行了深入研究,利用實驗輸入輸出數據離線設計了動態遞歸神經網路開環、閉環控制器,並分別採用基於神經網路的直接自校正控制方法與基於神經網路的間接自適應控制方法對彈性連桿機構實施了在線控制。
  19. The feasibility and requirement of adaptive control applied to the control system are analysized. the model of the hydraulic servo system is created, simplified and dispersed. according to the characteristics and problems that exist in the control system of stretch - bending machine at present, the self - tuning control with pole placement is firstly introduced, which establishes the theoretical foundation for the development and research of the intelligent control system of the stretch - bending machine

    分析了拉彎機控制系統採用自適應控制的必要和性可行性;建立了液壓伺服控制系統的數學模型,並進行了簡化和離散化;根據目前拉彎機控制系統的特點和存在的問題,第一次把極點配置自校正控制演算法引入拉彎機控制系統中,為智能化拉彎機控制系統的研究和開發奠定了理論基礎。
  20. 5. applying the theory of adaptive control to electro - hydraulic position servo system, bring forward a adaptive control method based on regulating gain and damp, a adaptive control method of approach track based on parameter identification, a self - tuning control method of pole placement, a adaptive control method of general predictive

    將自適應控制理論應用於電液位置伺服系統,提出了基於增益和阻尼比調節的自適應控制、基於參數辨識的漸近跟蹤自適應控制、極點配置的自校正控制和廣義預測的自適應控制。
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