Real-Time Implementation in DSPACE of Rotor Magnetic Field Control of Bearingless Induction Motor

2014 ◽  
Vol 703 ◽  
pp. 335-338
Author(s):  
Qin Zhang ◽  
Yu Xin Sun ◽  
Huang Qiu Zhu ◽  
Xian Xing Liu

A bearingless induction motor is a strong coupled complex system, the decoupling control of torque and radial suspension force is the premise of the stable operation of the bearingless induction motor. In this paper, the principle of bearingless induction motor is expounded. The magnetic mathematical models of bearingless induction motor are created. The rotor field oriented control strategy is designed. The control strategy is validated with Matlab/simulink. Real-time simulation model based on dSPACE is given and the platform based on dSPACE is constructed. The results show that this method has good decoupling control performance. The actual system development and experiment process confirms that the dSPACE real-time simulation platform can shorten the development time and facilitate the development process, and save costs during the design and test period.

SIMULATION ◽  
2021 ◽  
pp. 003754972199601
Author(s):  
Jinchao Chen ◽  
Keke Chen ◽  
Chenglie Du ◽  
Yifan Liu

The ARINC 653 operation system is currently widely adopted in the avionics industry, and has become the mainstream architecture in avionics applications because of its strong agility and reliability. Although ARINC 653 can efficiently reduce the weight and energy consumption, it results in a serious development and verification problem for avionics systems. As ARINC 653 is non-open source software and lacks effective support for software testing and debugging, it is of great significance to build a real-time simulation platform for ARINC 653 on general-purpose operating systems, improving the efficiency and effectiveness of system development and implementation. In this paper, a virtual ARINC 653 platform is designed and realized by using real-time simulation technology. The proposed platform is composed of partition management, communication management, and health monitoring management, provides the same operation interfaces as the ARINC 653 system, and allows dynamic debugging of avionics applications without requiring the actual presence of real devices. Experimental results show that the platform not only simulates the functionalities of ARINC 653, but also meets the real-time requirements of avionics applications.


Author(s):  
A. Hamed ◽  
A. Hazzab

<span lang="EN-US">This paper presents the modeling and real-time simulation of an induction motor. The RT- LAB simulation software enables the parallel simulation of power drives and electric circuits on clusters of a PC running QNX or RT- Linux operating systems at sample time below 10 µs. Using standard Simulink models including SimPowerSystems models, RT-LAB build computation and communication tasks are necessary to make parallel simulation of electrical systems. The code generated by the Real-Time Workshop of RT- LAB is linked to the OP5600 digital real-time simulator. A case study example of real-time simulation of an induction motor system is presented.This paper discusses methods to overcome the challenges of real-time simulation of an induction motor system synchronizing with a real-time clock.</span>


Author(s):  
Kourosh Rahnamai ◽  
Brian Yanke

Abstract Real-time simulation is used to model and perform parameter identification of a dc motor with encoder feedback. Using a fast DSP board, a permanent-magnet dc motor is controlled through a proportional position feedback, while running in parallel a real-time simulation of the mathematical model of the same system. Parameters of the mathematical model are adjusted in real time, such that the error between actual system and math model are minimized. This method allows a fast and efficient method for calculating and verifying math model of a dynamic system.


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