Design of grey sliding mode variable structure controller in ac speed - adjustable system 交流調(diào)速系統(tǒng)中的灰色滑模變結(jié)構(gòu)速度控制器設(shè)計(jì)
By means of building modelling with the target angular displacement and its sliding model variable structure controller of transmission ratio control electromotor , the parameters of entire controller are defined 通過對速比控制電機(jī)目標(biāo)角位移、角位移滑模變結(jié)構(gòu)控制器的建模,來確定整個控制器的設(shè)計(jì)參數(shù)。
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(yīng)控制方法的優(yōu)缺點(diǎn),并以變結(jié)構(gòu)控制方法實(shí)現(xiàn)了二級倒立擺的實(shí)時(shí)控制。
Including picking control system designed by two - chip structure controller and system of let - off & take - up motion based on servo control . and some deep research on tension control and start mark compensation 包括two - chip結(jié)構(gòu)的控制器實(shí)現(xiàn)的選緯控制系統(tǒng)以及基于伺服控制的送經(jīng)及卷取系統(tǒng),并對張力控制以及開車痕補(bǔ)償問題進(jìn)行了深入研究分析。
For the same model but assuming that the parameters of the linear parts unknown , wu yuqiang and xinghuo yu ( 1998 ) proposed a kind of new robust adaptive variable structure controller design algorithm Yuqiangwu和xinghuoyu ( 1998 )針對相同的控制模型但假設(shè)系統(tǒng)線性建模部分參數(shù)未知,利用輸入輸出信號給出了一種新的魯棒自適應(yīng)變結(jié)構(gòu)控制器設(shè)計(jì)策略
The sliding mode variable - structure controller basing attitude error quaternion and the sliding mode variable - structure controller basing adaptive learning on rbf neural network , three learning arithmetics of rbf neural network is emphasized 針對衛(wèi)星平臺分別設(shè)計(jì)了基于姿態(tài)誤差四元數(shù)的滑模變結(jié)構(gòu)控制器和基于rbf神經(jīng)網(wǎng)絡(luò)上界自適應(yīng)學(xué)習(xí)的滑??刂破鳌?
Then , a discrete variable structure controller is designed , which can force the solution trajectory of the system to enter into a small neighborhood of the quasi - switching manifold in finite steps and ultimately converge to a small chattering in the neighborhood 然后在不確定項(xiàng)有界的條件下設(shè)計(jì)了離散變結(jié)構(gòu)控制律,使得在控制的作用下,系統(tǒng)的解的軌跡于有限步內(nèi)進(jìn)入準(zhǔn)切換流形的一個都域內(nèi),并最終收斂于原點(diǎn)鄰域內(nèi)的一個小的抖振。
Under different conditions , for example , with variable additional resists or system parameters , the system applies the variable structure controller to adjust the speed system with train . the results of simulation show the variable structure control can achieve a fast response , high stability under parametric variations and disturbances , with no overshoot . additionally , it has stability for the adjustment speed of atcs and provides the comfortable speed , for the travelers , and improves the system performance 采用變結(jié)構(gòu)理論分析在不同情況下,如附加阻力變化,系統(tǒng)參數(shù)變化等,仿真滑模變結(jié)構(gòu)控制器控制的列車自動調(diào)速控制系統(tǒng),仿真結(jié)果表明,滑模變結(jié)構(gòu)控制的列車自動調(diào)速控制系統(tǒng)能實(shí)現(xiàn)速度響應(yīng)快、無超調(diào),系統(tǒng)對參數(shù)的攝動和外部干擾不敏感,實(shí)現(xiàn)列車自動控制系統(tǒng)的速度調(diào)節(jié)的穩(wěn)定性,保證旅客的舒適,改善了系統(tǒng)性能。
Because the structure stays in the circumstance of time - variability and uncertainty and the structure itself is a complex system , contains fuzzy information expressed as natural language and data information represented as exact number , the controller is demanded to be high degree of intelligence , robustness and learning ability , so the soft computing ( sc ) is appropriate to smart structure controller 由于所處環(huán)境的不確定性與時(shí)變性,加之智能結(jié)構(gòu)本身是一個復(fù)雜系統(tǒng),既有表現(xiàn)為確定性數(shù)量的數(shù)據(jù)信息,又有用自然語言描述的模糊信息,因此要求控制器應(yīng)具有高度的智能化,具有一定的魯棒性和學(xué)習(xí)功能。所以軟計(jì)算方法是適應(yīng)智能結(jié)構(gòu)控制器的智能化控制要求的。
Then , the paper studies the fuzzy - sliding mode control , and does much simulation work . at last , aiming at the wh20s flight simulator , the paper designs the discrete variable structure controller . and the result proves that the variable structure control can enhance the flight simulator ’ s performance 然后研究了模糊滑模變結(jié)構(gòu)控制,并做了仿真研究工作,最后,針對wh20s轉(zhuǎn)臺,設(shè)計(jì)了離散變結(jié)構(gòu)控制器,并進(jìn)行試驗(yàn),取得了較好的效果,驗(yàn)證了變結(jié)構(gòu)控制的有效性。