Nonlinear Machine Parameter Model of a High Performance Drive System

2013 ◽  
Vol 756-759 ◽  
pp. 4367-4371
Author(s):  
Mao Lin Wu
Keyword(s):  
High Performance ◽  
Model Simulation ◽  
Simulation Method ◽  
Drive System ◽  
Load Test ◽  
Data Sets ◽  
Network Parameter ◽  
System A ◽  
Torque Response ◽  
On Line

For sake of researching PMSM nonlinear parameter of a drive system, a load test is designed to get input-output property under the condition of different load. The main parameters of machine are estimated by applying predicting-error algorithm, then the data sets are used to train four neural network parameter models. To validate the model simulation method is used to study the speed and torque response. The results show that the way can optimize parameters of machine effectively and can be utilized for on-line parameter identification and electric drives.

Aspects of Multiscale Flow Simulation with Potential to Enhance Reservoir Engineering Practice

2021 ◽  
Author(s):  
Sanjoy Kumar Khataniar ◽  
Daniel De Brito Dias ◽  
Rong Xu
Keyword(s):  
High Performance ◽  
Flow Simulation ◽  
Field Testing ◽  
Simulation Method ◽  
Reservoir Engineering ◽  
Engineering Practice ◽  
Data Sets ◽  
Fully Implicit ◽  
Representative Model ◽  
Reservoir Simulator

Abstract A new implementation of a multiscale sequential fully implicit (MS SFI) reservoir simulation method is applied to a set of reservoir engineering problems to understand its utility. An assessment is made to highlight areas where the approach brings substantial advantage in performance as well as address problems not successfully resolved by existing methods. This work makes use of the first ever implementation of the multiscale sequential fully implicit method in a commercial reservoir simulator. The key features of the method and implementation are briefly discussed. The learnings gained during field testing and commercialization on about forty real world models is illustrated through simpler, but representative data sets, available in the public domain. The workhorse robust fully implicit (FI) method is used as a reference for benchmarking. The MS SFI method can faithfully reproduce FI results for black oil problems. We conclude that the MS SFI method has the capability to support reservoir engineering decision making especially in the areas of subsurface uncertainty quantification, representative model selection, model calibration and optimization. The MS SFI method shows immense potential for handling prominent levels of reservoir heterogeneity. The challenge of including fine-scale heterogeneity, which is often overlooked, when scaling up EOR processes from laboratory to field, appears to have found a practical solution with a combination of MS SFI and high-performance computing (HPC).

MRAS-Based Rotor Time Constant Estimation for Indirect Vector Controlled Induction Motor Drive

2012 ◽  
Vol 433-440 ◽  
pp. 6812-6818 ◽  
Author(s):  
Kan Donga ◽  
Li Jun Diaob ◽  
Da Nan Sun ◽  
Bai Shui Ruan ◽  
Zhi Gang Liu
Keyword(s):  
Vector Control ◽  
Time Constant ◽  
High Performance ◽  
Drive System ◽  
Control Technique ◽  
Estimation Methods ◽  
Ac Drive ◽  
On Line ◽  
Vector Control System ◽  
Model Reference Adaptive

Decoupling the stator current into magnetizing current and torque current, the vector control technique improves the performance of AC drive system effectively. However, the rotor time constant varies widely with rotor temperature and the flux level of the machine, which decreases the quality of the drive system. By the contrastive analysis of the variable current on-line estimation methods, this paper uses the Model Reference Adaptive System (MRAS) and designs a set of self-adaption estimation arithmetic which has its basis on the Lyapunov theorem of stability. The simulation shows that the estimation arithmetic has the characteristics of fast convergence speed, few stability errors, good track performance and etc. On the basis of simulation of the rotor time constant on-line estimation, this paper designs the system of vector control with the rotor time constant on-line estimation and has the simulation. According to the simulation results, applying the estimation to the vector control system can improve the performance of the system effectively and establish the theoretical basis of the research on the high-performance AC drive system.

Confidentiality of Statistical Records: A Threat-Monitoring Scheme for On Line Dialogue

1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer
Keyword(s):  
Statistical Data ◽  
Cost Benefit ◽  
Data Bank ◽  
High Ratio ◽  
Point Of View ◽  
Data Sets ◽  
Monitoring Scheme ◽  
Access Controls ◽  
On Line ◽  
Bona Fide

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.

Selection of one-dimensional sedimentation: models for on-line use

1995 ◽  
Vol 31 (2) ◽  
pp. 193-204 ◽  
Author(s):  
Koen Grijspeerdt ◽  
Peter Vanrolleghem ◽  
Willy Verstraete
Keyword(s):  
Steady State ◽  
Selection Criteria ◽  
Data Sets ◽  
Concentration Profiles ◽  
A Posteriori ◽  
One Dimensional ◽  
On Line ◽  
Dynamic Concentration ◽  
Selection Of ◽  
Modelling Task

A comparative study of several recently proposed one-dimensional sedimentation models has been made. This has been achieved by fitting these models to steady-state and dynamic concentration profiles obtained in a down-scaled secondary decanter. The models were evaluated with several a posteriori model selection criteria. Since the purpose of the modelling task is to do on-line simulations, the calculation time was used as one of the selection criteria. Finally, the practical identifiability of the models for the available data sets was also investigated. It could be concluded that the model of Takács et al. (1991) gave the most reliable results.

A High Performance of Induction Motor Drive System

2020 ◽  
Vol 13 (8) ◽  
pp. 1129-1134
Author(s):  
Cuifeng Shen ◽  
Hanhua Yang
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Fuzzy Controller ◽  
Drive System ◽  
Motor Drive ◽  
Deterministic System ◽  
Induction Motor Drive ◽  
Paper Making ◽  
Drive Control ◽  
Motor Drive System

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.

Sign in / Sign up

Export Citation Format

Share Document