genetic compensation 中文意思是什麼

genetic compensation 解釋
遺傳補償
  • genetic : adj. 1. 遺傳（學）上的。2. 發生的，發展的；創始的。adv. -ically
  • compensation : n 賠償；補償（金）；報酬 （for）；〈美國〉薪水，工資 （for）; 【機械工程】補整；【造船】補強。com...
  1. As for single axis, pewin, the software given by the programmable multi - axis controller ( pmac ), is used to find the best parameters of the pid controller and feedforward compensation controller. then, the nonlinear friction in the system is compensated by the friction compensation controller with genetic algorithm ( ga ). the compensation controller can improve the system performance effectively

    對于單軸系統首先利用美國deltatau公司的可編程多軸控制器pmac自帶的控制軟體pewin進行pid參數的整定以及前饋補償環節的參數整定，然後分析系統存在的非線性摩擦力，利用遺傳演算法尋優摩擦力補償環節的參數，達到補償摩擦力的效果，有效地提高了系統的控制性能。
  2. The reactive power optimization compensation is to find the suitable compensation place and the best compensation capacitance by adjusting the generator bus voltages, transform taps and reactive compensation capacities in the condition of satisfying power load requirement, which can guarantee the secure and high quality power for consumers. the improved genetic algorithm is applied in this thesis according to the features of reactive power optimization of high voltage transmission bus, which are the non - linear problems with multi - variables and multi - restrictions

    電網無功優化補償是在有功潮流調度給定的情況下，以負荷節點電壓和線路輸送無功功率作為狀態變量，運用優化演算法，調節發電機節點電壓、變壓器可調分接頭和無功補償裝置，在滿足電力負荷的要求下，尋求合理的無功補償點和最佳補償容量，保證電網能夠安全、優質地向用戶供電。
  3. Benefit compensation of protecting and developing western biological genetic resources

    西部生物遺傳資源保護與開發的利益補償
  4. These compounded compensation control structures provides new clew and method for improving control performance of high power & high inertia pump - control - motor speed governing system with inverter. ( 3 ) the dissertation puts forward the method optimizing the parameters of pid controller and fuzzy pid controller based on real code genetic algorithm

    （ 3 ）提出了基於實數編碼遺傳演算法的變頻泵控馬達調速系統pid控制器和模糊pid控制器的參數尋優方法，為大功率大慣性變頻泵控馬達調速系統控制參數的整定提供了新的途徑。
  5. When carrying on the distribution network reactive power coordination optimization, the discrete values of compensation capacitor are obtained using adaptive crossover step genetic algorithm on the basis of consideration of bo th network reconfiguration based on ts algorithm and compensation capacitors continuous variable optimization, accordingly the high efficiency and global optimal solution of network coordination reactive optimization are achieved

    對配電網路無功綜合優化，本文提出在同時考慮基於禁忌演算法的配電網路重構和補償電容器連續變量優化的基礎上，再應用自適應交叉步長遺傳演算法進行離散變量求解，獲得補償電容器的離散量值。
  6. In order to realize automatic and intelligent control better ; and to enhance the effect of electric power system ' s reactive power compensation and the economy of power network ; and to minimizing the times of checking in or out capacitor banks makes reactive power adjustment optimum, fuzzy control technology and genetic algorithm for reactive power optimization are proposed. we also mention how to make voltage and reactive power control optimum in the integrated automatization system of substation

    為了充分實現控制的自動化與智能化，進一步提高系統無功補償的效果和電網運行的經濟性，保證無功調節達到最佳的狀態而投切的電容器次數最少，還引入了模糊控制技術和遺傳演算法進行無功優化，探討了如何在變電站綜合自動化系統中實現電壓無功的最優控制。
  7. A new genetic neural network is to conduc the non - rigid modeling, which is first put forward, in accordance with some drawbacks of the current software compensation, which include low accuracy and trouble some expressions. and the current difficult questions, which include local minimum problem and the selection of the number of neural network hidden units, are done

    針對現有誤差補償過程中精度較低等問題，提出了一種改進的遺傳神經網路演算法建立三坐標測量機非剛性誤差模型，這種演算法克服了現有bp演算法神經網路建模存在的局部極小點、網路隱單元數選擇等問題。
  8. Detaildiscussion and partition of it is given according to the research contellts, methods, tfor spanand objective function etc. the method applied here, genetic algorithin ( ga ) for reactivepower planning problem and interior point method ( ipm ) for quasi real time voltage / reactivepower control are separate surnmarized fully and comprehensively hence, two aspects ofreactive power operating optimization, i. e. optimal reactive power compensation planning andquasi - real time voltage / reactive power control are studied in detail in this thesis withintelligent method, such as fully mathematic and expert system etc., integrated

    本文從無功優化問題的研究內容、研究方法、時間跨度和目標函數等方面進行了詳細的探討和劃分。在對本文採用的無功規劃優化的研究方法?遺傳演算法和無功/電壓控制的研究方法?原-對偶內點法進行綜述的基礎上，提出根據電力系統的特點、結合模糊數學和專家系統等智能方法對無功運行優化中的規劃優化和無功/電壓控制兩類問題進行理論和應用研究。
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