scholarly journals Online MTPA Trajectory Tracking of IPMSM Based on a Novel Torque Control Strategy

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3261 ◽  
Author(s):  
Jianxia Sun ◽  
Cheng Lin ◽  
Jilei Xing ◽  
Xiongwei Jiang

The maximum-torque-per-ampere (MTPA) scheme is widely used in the interior permanent magnet synchronous machine (IPMSM) drive system to reduce copper losses. However, MTPA trajectory is complicated to solve analytically. In order to realize online MTPA trajectory tracking, this paper proposes a novel torque control strategy. The torque control is designed to be closed form. Considering the machine reluctance torque as the torque feedback, when this is compared with the torque reference, then the excitation torque reference can be obtained. Since the excitation torque is proportional to the q-axis current, the q-axis current reference can be fed by the excitation torque reference through a proportional regulator. Once the q-axis current reference is given, the d-axis current reference can be calculated based on the per-unit model, which aims to simplify the calculation and make the control strategy independent of machine parameters. In this paper, the stability of the control system is demonstrated. Meanwhile, simulation and experiment results show this torque control strategy can realize MTPA trajectory tracking online and have success in transients.

2013 ◽  
Vol 313-314 ◽  
pp. 1109-1114
Author(s):  
En Zhe Song ◽  
Shi Hai Yi ◽  
Yao Chong ◽  
Sun Jun ◽  
Jun Jun Zhu ◽  
...  

A parallel hybrid power unit model has been established on Matlab/Simulink platform. A torque control strategy is put forward in this paper and four working conditions which include starting, acceleration, adding load and unloading are studied. The results of simulation indicates that the control strategy is feasible.


Robotica ◽  
1991 ◽  
Vol 9 (3) ◽  
pp. 319-326 ◽  
Author(s):  
Devendra P. Garg

SUMMARYThis paper deals with an investigation of the relative importance of robotic characteristics typically associated with nonlinear manipulators. An IBM 7540 SCARA type of robot is used for simulation, and results are presented for decentralized proportional plus derivative control action applied to individual robot joints, and the use of an adaptive computed torque control strategy is illustrated. The influence of variations in payload and robot parameters on trajectory tracking is also shown.


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