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52篇 您的检索式：作者名="BOGOSYAN"

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	题名	作者	年代	出处	被引量
1	Re-adhesion control strategy based on the optimal slip velocity seeking method显示文摘In the railway industry, re-adhesion control plays an important role in attenuating the slip occurrence due to the low adhesion condition in the wheel–rail interaction. Braking and traction forces depend on the normal force and adhesion coefficient at the wheel–rail contact area. Due to the restrictions on controlling normal force,the only way to increase the tractive or braking effect is to maximize the adhesion coefficient. Through efficient utilization of adhesion, it is also possible to avoid wheel–rail wear and minimize the energy consumption. The adhesion between wheel and rail is a highly nonlinear function of many parameters like environmental conditions, railway vehicle speed and slip velocity. To estimate these unknown parameters accurately is a very hard and competitive challenge. The robust adaptive control strategy presented in this paper is not only able to suppress the wheel slip in time, but also maximize the adhesion utilization performance after re-adhesion process even if the wheel–rail contact mechanism exhibits significant adhesion uncertainties and/or nonlinearities. Using an optimal slip velocity seeking algorithm, the proposed strategy providesa satisfactory slip velocity tracking ability, which was demonstrated able to realize the desired slip velocity without experiencing any instability problem. The control torque of the traction motor was regulated continuously to drive the railway vehicle in the neighborhood of the optimal adhesion point and guarantee the best traction capacity after re-adhesion process by making the railway vehicle operate away from the unstable region. The results obtained from the adaptive approach based on the secondorder sliding mode observer have been confirmed through theoretical analysis and numerical simulation conducted in MATLAB and Simulink with a full traction model under various wheel–rail conditions.	Caglar Uyulan Metin Gokasan Seta Bogosyan	2018	Journal of Modern Transportation2018，26，1：	4
2	Sliding Mode Based Powertrain Control for Efficiency Improvement in Series Hybrid-Electric Vehicles显示文摘	Metin Gokasan Seta Bogosyan Douglas J Goering	2006	IEEE Trans Actions On Power Electronics2006，21，3：	1
3	Current trends in remote laboratories显示文摘	Gomes L Bogosyan S		0，，12：	1
4	Speed-sensorless estimation for induction motors using extended kalman filters显示文摘	Barut M Bogosyan S Gokasan M	2007	Industrial Electronics2007，54，1：	1
5	Speeds sensorless estimation for in- duction mostors using extended kalman filters 显示文摘	BarutM Bogosyan O S GokasanM	2007	IEEE Transactions on In- dustrial Electronics2007，54，1：	1
6	Sliding mode based powertrain control for efficiency improvement in series hybrid-electric vehicle显示文摘	Gokasan M Bogosyan S Goering D J	2006	IEEE Trans on Power Electron2006，21，3：	1
7	Fuzzy based parameter tuning of EKF observers for sensorless control of induction motors显示文摘	Mebekse Aydin Metin Gokasan Seta Bogosyan	2014	IEEE SPEEDAM2014，，10：	1
8	Sliding modebased powertrain control for efficiency improvement inseries hybrid-electric vehicle显示文摘	Gokasan M Bogosyan S Goering D J	2006	IEEE Transactions onPower Electronics2006，21，3：	1
9	Speed-sensorless esti- mation for induction motors using extended Kalman filters 显示文摘	BARUT M BOGOSYAN S GOKASAN M	2007	IEEE Transactions on Industrial Electronics2007，54，1：	1
10	Speed-sensorless esti- mation for induction motors using extended Kalman filters 显示文摘	BARUT M BOGOSYAN S GOKASAN M	2007	IEEE Transactions on Industrial Electronics2007，54，1：	1
11	Switching EKF technique for rotor and stator resistance estimation in speed sensorless control of IMs显示文摘	Barut M Bogosyan S Gokasan M	2007	Energy Conversion and Management2007，48，12：	1
12	Experimental evaluation of braided EKF for sensorless control of induction motors 显示文摘	Barut M Bogosyan S Gokasan M	2008	Industrial Electronics IEEE Transactions on (S0278-0046)2008，55，2：	1
13	Experimental evaluation of braided EKF for sensorless control of induction motors显示文摘	Barut M Bogosyan S Gokasan M	2008	IEEE Transactions on Industrial Electronics2008，55，2：	1
14	Switching EKFtechnique for rotor and stator resistance estimation inspeed sensorless control of IMs显示文摘	Barut M Bogosyan S Gokasan M	2007	Energy Conversionand Management2007，48，12：	1
15	Experimentalevaluation of braided EKF for sensorless cintrol 'of induction motors显示文摘	Barut M Bogosyan S Gokasan M	2008	IEEE Transactions on Industry Electronics2008，55，2：	1
16	Speed-sensorless estimation for induction mo-tors using extended kalman filters显示文摘	Barut M Bogosyan O S Gokasan M	2007	IEEE Transactions on Industrial Electronics2007，54，1：	1
17	Speed-sensorless estimation for induction motors using Extended Kalman Filters 显示文摘	BARUT M BOGOSYAN S GOKASAN M	2007	IEEE Transaction on Industrial Electronics2007，54，1：	1
18	Sliding mode based powertrain control for efficiency improvement in series hybrid-electric vehicles显示文摘	Gokasan M Bogosyan S Goering D J	2006	IEEE Transaction on Power Electronics2006，21，3：	1
19	A Novel ECMSand Combined Cost Map Approach for High- Efficiency Series Hy-brid Electric Vehicles显示文摘	SEZER V GOKASAN M BOGOSYAN S	2011	IEEE Transactions on Vehicular Technol-ogy2011，60，8：	1
20	Speed-sensorless estimation for induction motors using extended Kalman filters显示文摘	Barut M Bogosyan S Gokasan M	2007	IEEE Transactions on Industrial Electronics2007，54，1：	1

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