mrac 中文意思是什麼
mrac
解釋
模型參考自適應-
This paper proposes a soft - swiching inverter based on mrac and analyzes the design of main circuit drive circuit and control circuit in details
提出了一種基於模型參考自適應控制的軟開關逆變器,詳細分析了主電路、驅動電路和控制電路的設計。 -
The mrac set up in this paper is applicable to other inverter circuits
本文建立的模型參考自適應控制系統也適用於其他逆變電路。 -
Abstract : a new variable structure model reference adaptive control ( vs - mrac ) scheme is proposed in this paper. by transforming a relative degree one system into a first - order - like differential equation, it is shown that the spr ( strictly positive real ) assumption for reference model or its modified form ( if plant relative degree n * > 1 ) can be removed and the tracking error can converge to zero in finite time or a small residual set
文摘:提出了一種可具有非嚴格正實參考模型的變結構魯棒自適應控制方案,可去除變結構模型參考自適應控制中普遍要求參考模型為嚴格正實或當相對階大於1時參考模型經補償后為嚴格正實的假設.在此基礎上提出的變結構控制律可保證跟蹤誤差在相對階為1時于有限時間內收斂到零,而當相對階大於1時則可使跟蹤誤差收斂到一個殘差集內 -
Stable robust controller of mrac systems in the presence of bounded disturbances
系統的穩定魯棒控制 -
Modified mrac scheme with switched adaptive law and static compensator
具有切換自適應律和靜態補償器的模型參考自適應控制 -
The experiment results show mrac can be used to control the inverter efficiently
實驗結果表明,用模型參考自適應控制逆變器是有效的。 -
In addition, morse proved that tenable system must be a minimum phase system. for linear time varying systems, tskalis and loannou ( 1992, 1989 ) proposed mrac design method
為了保證可調性,被控對象必須是最小相位的,對于線性時變系統, tskalis與ioannou 992 , 1989 )給出了模型參考自適應控制器的設計方法 -
In this paper, taking the double inverted pendulum as plant, a model - reference adaptable controller ( mrac ) is analyzed ; a variable structure controller is designed to stabilize the double inverted pendulum
本文以二級倒立擺模型為控制對象,分析了模型參考自適應控制方法的優缺點,並以變結構控制方法實現了二級倒立擺的實時控制。 -
The characteristics of a new optimizing algorithm - immune algorithm were discussed. the author presented a model reference adaptive control ( mrac ) based on wave neural networks ( wnn ) optimized by immune algorithm
論文研究了一種新的智能優化演算法?免疫演算法的特性,並把它用於小波網路的優化設計中,提出了一種基於免疫優化的小波網路模型參考自適應控制策略。 -
Finally, the paper studies some advanced strategies. genetic algorithms ( ga ) is used to optimize the pid parameters. neural networks ( nn ) and model reference adaptive control ( mrac ) controllers are put forth to improve the performance of the simulator
並基於轉臺模型設計了神經網路控制器和模型參考自適應控制系統,通過模擬結果證明了這兩種方法的優越性和可實現性。
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