短路棒 的英文怎麼說
中文拼音 [duǎnlùbàng]
短路棒
英文
drop bar- 短 : Ⅰ形容詞(空間、時間兩端之間的距離小) short; brief Ⅱ動詞(缺少; 欠) lack; owe Ⅲ名詞1 (缺點) we...
- 路 : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
- 棒 : Ⅰ名詞(棍子) stick; staff; club; cudgel Ⅱ形容詞[口語] (強; 高; 好) strong; excellent; good
- 短路 : [電學] short; short circuit; cutting out; direct short; short out; short pass短路保護(裝置) sho...
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Analyze and compare pid and vague, single neuron etc. control strategy, and combine with single neuron self adaptive gain, self adaptive right value and preventive integral saturation etc. control strategy. have improved single neuron control algorithm, may restrain efficiently to disturb, reduce broken arc and short circuit etc. phenomenon, make systematic control effect and robustness get to strengthen, also have certain application reference value for the design of the dc arc furnace
通過對pid 、模糊、單神經元等控制策略的分析比較,將單神經元增益與權值的自適應調節、抗積分飽和等控制策略相結合,改進了單神經元控制器演算法,可以有效抑制擾動,減少斷弧、短路等現象的發生,使系統的控制效果和魯棒性都得到增強,對電弧爐控制系統的設計也具有一定的應用參考價值。Secondly, according to the characteristics of few hubs in the practical hub and spoke airline network, the shortest path algorithm is improved, and an exact algorithm is proposed to solve the airline network robust optimization model, with which robust solutions suitable for various possible scenarios are obtained
然後結合中樞輻射航線網路實際應用中樞紐個數少的特點,對最短路演算法加以改進,提出了一種求解航線網路魯棒優化設計的精確演算法,得到了適用於多種可能情景的魯棒解。T he shorting structure can be realized through a shorting wall or pin
短路結構可以通過短路金屬面或短路棒。The genetic algorithm, which simulates the evolutional process of the nature, is a global and robust algorithm, and the construction of orthogonal multiwavelets via genetic algorithm makes the guideline to determine multiwavelets clear and simple. 2
遺傳演算法是模擬自然進化過程的全局性魯棒優化演算法,利用遺傳演算法來確定由短序列正交多尺度函數所生成的正交多子波,使確定多子波的思路變得清晰而簡單。So the paper combined the fuzzy logic control and recurrent neural network, and the recurrent fuzzy neural network ( rfnn ) controller is introduced into the speedsensorless vector control system. moreover, an online parameter training methodology, which is derived from the lyapunov stability theorem and gradient descent method is proposed to increase the learning capability of the rfnn. the rfnn controller has a better performance than the pi controller system ; the effectiveness of the proposed control scheme is verified by simulation results
因此論文將模糊控制和具有優越動態性能的遞歸神經網路結合起來,取長補短,提出了一種遞歸模糊神經網路控制方法,利用神經網路來實現模糊推理,可動態的調整隸屬函數的形狀、位置以及神經網路遞歸權值,並對其與pi控制器的交流調速控制系統進行了模擬比較,模擬結果表明與普通的pi控制器相比較,遞歸模糊神經網路控制器有較好的動態性能,控制器的收斂速度快、靜差小,系統在遇到參數發生變化和外部不確定性問題時魯棒性、抗擾動性有明顯的提高。It did digital simulation to the controll system, and the results were compared with the pid control system. it got that the result was better which was the response time was shorter, the capability of tracking the input changing and the self adapting was stronger
得出, bp神經網路比pid對系統的控制效果更好,表現在階躍響應時間較短,跟隨輸入參數變化的能力強,有很強的自適應能力和魯棒性。分享友人