self-tuning controller 中文意思是什麼

self-tuning controller 解釋
自調節控制器
  • 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。
  • controller : n 1 管理人，主管人。2 （會計的）主計人，檢查員；〈英國〉（特指宮廷、海軍等的）出納官〈常作 comptr...
  1. A generalized minium variance pole assignment pid self - tuning controller can be used for the system with gentle time - varying delay. the controller algorithm is simplified. its effectiveness has been shown in many simulation uses

    在考慮系統時滯特性的情況下，提出了適合一類時滯系統的廣義最小方差極點配置自校正控制器，並對控制器演算法進行了簡化，使該控制器簡單易行，適應性強，模擬結果表明它的有效性。
  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. Application of genetic algorithm in self - tuning pid controller

    自整定控制中的應用
  5. Parameters self - tuning pid controller using fuzzy system

    參數模糊自整定控制
  6. 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。
  7. A fuzzy self - tuning controller based on fuzzy competitive learning

    基於模糊競爭學習的模糊自校正控制
  8. 3. concerning the random interference problem occurred in the application of the system, chapter five has done the research work and provides the procedure of self - tuning parameters for fuzzy controller

    針對本系統應用的場合所存在的隨機干擾問題，第五章則根據這些問題進行了理論分析和研究，並且給出了參數自整定模糊控制器的實現方法。
  9. Two way traffic model and self - tuning controller for freeway around ci ty

    環城高速公路雙方向交通模型與自校正控制
  10. 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。
  11. After comparing with the results using the static fuzzy controller, we find that the self - tuning fuzzy controller appears to be more efficient for operating stabilizing fins while the ship speed is high, especially in following waves

    在與靜態模糊控制器比較后，我們發現自調式控制器的確較具有效率，尤其是在逐波高速之狀態下。
  12. It ' s a driving force and also a challenge to control in both theory and technology due to the more and more severe specifications imposing on it. a variety control theory have been developed, however, with limited performance in practical applications, especially in term of the relatively lower response speed when used in those machines which run fast. therefore, it is necessary to develop a new self - tuning algorithm for fast running plant of uncertainty so as to set theoretical base for controller design

    在科技飛速發展的今天，各種新設備、新工藝的出現促進了控制理論的發展，同時也對控制技術提出了越來越高的要求，雖然已有許多旨在提高控制性能的不同的控制理論，但由於其各自的局限性，在應用中仍然存在許多問題，特別是對于運行速度較快的機械設備等，其響應時間往往不能達到要求，因此，有必要開發一種新型、快速、能夠適應快速運行或變化的對象或過程的自調節演算法，以為控制器的開發作好理論支持。
  13. 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。
  14. 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。
  15. ( 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。
  16. To multi - model plants, the fuzzy integral compound control method with a self - tuning parameter is proposed. the control simulation tests of the hydraulic turbine generator are made and the results show that the proposed controller has strong robustness and satisfied performances. 4

    針對具有多模型特性的受控對象，提出了一種參數自調整模糊積分復合控制方法，並以水輪機組的頻率跟蹤控制問題為背景，進行了控制系統的設計和模擬實驗研究，模擬結果表明這種新穎的控制方法具有強的魯棒性和滿意的控製品質； 4
  17. Intelligent self - tuning pid regulator intelligent double - loop cascade pid regulate controller

    智能雙迴路串級pid調節控制儀
  18. The intelligent method based on performance feedback and parameter self - tuning controller based on rules have been proposed, which simplify the design of intelligent fuzzy control algorithm

    提出了性能反饋的智能控制方法和基於規則的控制器參數自調整機制等智能控制策略。並簡化了智能模糊控制演算法的設計。
  19. Results obtained from a hybrid simulation of a heating plant, building and environment show that the self - tuning controller behaves well and has superior performance characteristics compared to conventional start controllers

    結果表明自調節控制器能夠良好運轉，並且與傳統控制方法相比較，具有更好的操作性能，能夠實現節能的目的。
  20. Considering the typical nonlinear characteristics of srm drive system which make the constant parameters of traditional controller unable to adapt to the random disturbance parameters in a large scale, the fuzzy control is introduced to improve its performance. a fuzzy self - tuning controller is designed, which can adjust parameters automatically and improve its static and dynamic performance

    鑒于開關磁阻電動機調速系統顯著非線性造成固定參數在常規控制方式下不能很好適應工況大范圍變化的問題，引入了模糊控制來改善其性能，設計了模糊自校正控制器，實現了參數的在線優化調整，提高了系統的靜、動態性能。
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