Antirollback Control for Gearless Elevator Traction Machines Adopting Offset-Free Model Predictive Control Strategy

Wang, Gaolin; Qi, Jiangbo; Xu, Jiazhu; Zhang, Xueguang; Xu, Dianguo

doi:10.1109/tie.2015.2431635

Cited by 27 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The research topic of weight-transducerless control strategy for gearless elevator has been studied for several years. The study in [17] was proposed by our previous researchers adopting MPC. It was a model-based control strategy which had been realised on the same experimental platform.…”

Section: Experimental Results Of Eso Combining With Nlefmentioning

confidence: 99%

“…It was a model-based control strategy which had been realised on the same experimental platform. When adopting the off-set free MPC strategy in [17], the sliding distances in 20, 60 and 100% rated load are 0.45, 1.35 and 1.5 mm, respectively, while the ones adopting ADRC are 0.23, 0.69 and 1.15 mm. The comparison among the PI speed regulator, the off-set free MPC and the proposed ADRC strategy with ESO and NLEF controller under different loads are shown in Fig.…”

Section: Experimental Results Of Eso Combining With Nlefmentioning

confidence: 99%

“…where b 0 = K t /J.Ast is far less than l 1 , it can be ignored. Combined with (17), (18) can be changed into…”

Section: Stability Analysis and Parameter Selectionmentioning

confidence: 99%

See 2 more Smart Citations

Weight‐transducerless control strategy based on active disturbance rejection theory for gearless elevator drives

Wang

et al. 2017

IET Electric Power Applications

Self Cite

View full text Add to dashboard Cite

Direct-drive traction systems applying the permanent magnet synchronous motor have become the trend of modern gearless elevators. To estimate and reject the non-linear and uncertain load disturbance effectively during the elevator startup, a novel active disturbance rejection control (ADRC) strategy adopting extended state observer (ESO) and non-linear error feedback (NLEF) controller is proposed to attenuate the elevator car sliding without using weighttransducer. By using the weight-transducerless control strategy, the sliding distance and speed can be suppressed to the extent that it could ensure the riding comfort. The proposed ADRC scheme will also accelerate the dynamic response and enhance the system robustness. Both the parameter selection and the stability of ESO are analysed according to the application requirements, and the contrastive analysis of the functions selected in NLEF controller is performed via Lyapunov theory. The feasibility of the proposed strategy is verified by the experimental results on an 11.7 kW elevator traction machine.

show abstract

Section: Experimental Results Of Eso Combining With Nlefmentioning

confidence: 99%

Section: Experimental Results Of Eso Combining With Nlefmentioning

confidence: 99%

See 1 more Smart Citation

Weight‐transducerless control strategy based on active disturbance rejection theory for gearless elevator drives

Wang

et al. 2017

IET Electric Power Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Model Predictive Control (MPC) is used in the industry due to advanced process control strategy. Model predictive controller depends on dynamic model of the process system and online optimization solver [22]- [30]. Fig.…”

Section: Model Predictive Controlmentioning

confidence: 99%

Speed control of permanent magnet synchronous motor using neural network model predictive control

Sundharajan

Premkumar²,

Vishnupriya

2020

Journal of Energy Systems

View full text Add to dashboard Cite

Model predictive control has been widely used in the industry. This can control the multivariable system with constraints on input and output variables but it needs online computation solver, and creates the nonconvex solution in nonlinear plant due to the parameter uncertainties. The online computational problem and non-convex solution of the model predictive control are achieved via neural network model predictive control. The paper explores the speed control of permanent magnet synchronous motor (PMSM) by using neural network model predictive control (NNMPC) technique. The multi-layer artificial neural network is used to identify the dynamics of PMSM. The set point speed tracking control of PMSM is identified by using neural network model predictive control strategy. By using the set of input and output data obtained from the system, the multi input-output feed-forward neural network model is created. Levenberg-Marquardt algorithm is used to train the process models of the PMSM. That provides future plant output for control optimization of the predictive control. The overall system is developed and tested in the MATLAB/Simulink. To evaluate the efficiency of the controller proposed, it is compared with a constrained model predictive controller through the studies of simulation. The overshoot and settling time of the speed response of the PMSM are measured and analyzed for NNMPC and constrained MPC.

show abstract

“…Böylece, verim ve performans açısından daha detaylı çalışmalar ortaya konmuştur. Ayrıca DMSM' ların asansör uygulamalarında kullanılmaları açısından bir diğer önemli husus olan güç elektroniği ve kontrol konuları da, doğrudan sürüş için farklı yöntemlerin araştırılması ile her geçen gün geliştirilmektedir [7,8]. Bu doğrultuda, klasik yöntemlere ek olarak sezgisel (ing: heuristic) yöntemlerin kullanıldığı çalışmalar da bulunmaktadır [9]…”

Section: Asansör Uygulamalarında Kullanılan Daimi Mıknatıslı Senkron unclassified

Asansör uygulamalarında kullanılan daimi mıknatıslı senkron motor tasarımı

Ergene¹,

Polat²,

Bakhtiarzadeh

2018

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

View full text Add to dashboard Cite

2 Metroplast Asansör, Iran Highlights: Graphical/Tabular Abstract • Analysis of permanent magnet synchronous motors in different structures used in elevator applications • Analytical calculation, analysis with finite element method and production process, consistency with the test results • Making a new design with increased efficiency, decreased the size, volume and weight of the motorIn this study, low speed and high torque permanent magnet synchronous motors (PMSM) used in elevator applications are investigated. Better motor design solutions are proposed by using the analytical calculations, the finite element method based simulations. Firstly, a permanent magnet synchronous motor having 60 slots 16 poles (already in the market) for an eight-person elevator which is operating at a speed of one meter per second is analyzed by using the simulation and experimental results. The simulations of the motors having 48 and 54 slots are performed as the next step. Different types of motors have been analyzed in terms of current, voltage, harmonic components, moment and efficiency characteristics. In the view of these results, the most suitable motor is prototyped considering the cost and the relevant standards for the elevator applications. The proposed new motor with 54 slots shows a better performance due to its simulation and test results by increased efficiency and decreased the size, volume and weight. This is valid even though better permanent magnets are preferred. In addition, the stack length of the new motor is reduced by 20% and this output is very important especially for elevator applications.

show abstract

Antirollback Control for Gearless Elevator Traction Machines Adopting Offset-Free Model Predictive Control Strategy

Cited by 27 publications

References 27 publications

Weight‐transducerless control strategy based on active disturbance rejection theory for gearless elevator drives

Weight‐transducerless control strategy based on active disturbance rejection theory for gearless elevator drives

Speed control of permanent magnet synchronous motor using neural network model predictive control

Asansör uygulamalarında kullanılan daimi mıknatıslı senkron motor tasarımı

Contact Info

Product

Resources

About