Digital Simulation of a High-Performance AC Drive System---Part II

1974 ◽  
Vol IA-10 (3) ◽  
pp. 397-402 ◽  
Author(s):  
S. D. Rajan ◽  
Linos J. Jacovides ◽  
William A. Lewis
1974 ◽  
Vol IA-10 (3) ◽  
pp. 391-396 ◽  
Author(s):  
S. D. Rajan ◽  
Linos J. Jacovides ◽  
William A. Lewis

1994 ◽  
Vol 114 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Masayuki Terashima ◽  
Tadashi Ashikaga ◽  
Takayuki Mizuno ◽  
Takahiko Yamamoto ◽  
Kazuo Natori ◽  
...  

2012 ◽  
Vol 433-440 ◽  
pp. 6812-6818 ◽  
Author(s):  
Kan Donga ◽  
Li Jun Diaob ◽  
Da Nan Sun ◽  
Bai Shui Ruan ◽  
Zhi Gang Liu

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.


Author(s):  
Cuifeng Shen ◽  
Hanhua Yang

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.


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