Research and Simulation of Excitation Regulator Model Based on DSP

2013 ◽  
Vol 732-733 ◽  
pp. 697-701
Author(s):  
Zhi Tian Zhang ◽  
Xiao Ping Shi ◽  
Xiao Ling Shi

This paper introduces the research on the Excitation Regulator of the Synchronous Generator with dual CPUs, based on Digital Signal Processor (TMS320LF2812). With the multiple functions of monitoring, analysis, controlling and protection, it overcomes the shortage of the domestic excitation device in terms of self-monitoring and self-protection,which effectively improves device reliability. By analyzing the allocation of reactive load of the interconnected Synchronous Motor group, the model of the digital excitation regulator by Simulink of MATLAB is produced. The results of the simulation show that the proposed regulation model are feasible, satisfying various running demands of the Synchronous Motor and Power System.

2012 ◽  
Vol 214 ◽  
pp. 531-533
Author(s):  
Zhi Tian Zhang ◽  
Xiao Ping Shi ◽  
Xiao Ling Shi

This paper introduces the research on the Excitation Regulator of the Synchronous Generator with dual CPUs, based on Digital Signal Processor (TMS320LF2812). With the multiple functions of monitoring, analysis, controlling and protection, it overcomes the shortage of the domestic excitation device in terms of self-monitoring and self-protection,which effectively improves device reliability. By analyzing the allocation of reactive load of the interconnected Synchronous Motor group, the modeling and simulation of the digital excitation regulator in the power system are illustrated in the paper. The results of the simulation show that the proposed regulation model are feasible, satisfying various running demands of the Synchronous Motor and Power System.


2012 ◽  
Vol 150 ◽  
pp. 100-104
Author(s):  
Tao Zhang ◽  
Wei Ni ◽  
Hui Ping Zhang ◽  
Sha Sha Wu

When the permanent magnet synchronous motor is operated at a low speed. The rotor position and speed are very difficult to estimate using the extended flux or back EMF method. A novel modified current slope estimating method is used to estimate the rotor position and speed in low speed in this paper. The mathematical models of an interior permanent magnet synchronous motor (IPMSM) are deduced. The basic principle of modified current slope method is introduced. The simulation control system is built based on Matlab and a TMS320LF2407 digital signal processor is used to execute the rotor position and speed estimation. The experimental and simulation results have shown that the rotor position and speed can be accurately estimated in a low-speed operating region.


2012 ◽  
Vol 468-471 ◽  
pp. 2891-2894 ◽  
Author(s):  
Hui Wang ◽  
Xue Ren Dong ◽  
Xiao Wei Yang ◽  
Feng Nan Liu

For requirements Permanent magnet synchronous motor (PMSM) speeds control, the digital signal processor (DSP) is used for speed control system of PMSM. By using space vector pulse width modulation (SVPWM) algorithm, system performance is improved, and system costs are reduced. In this paper, the principle of SVPWM is analyzed, and its implementation is described. Through the analysis of permanent magnet synchronous motor in a different coordinate system in the mathematical model system solution is presented, software design for system is described. A DSP-based PMSM speed control system is build, the system is analyzed in MATLAB simulation. That proves the feasibility of the system.


2019 ◽  
Vol 33 (06) ◽  
pp. 1950031 ◽  
Author(s):  
Dong Peng ◽  
Ke Hui Sun ◽  
Abdulaziz. O. A. Alamodi

In this paper, dynamics of the fractional-order permanent magnet synchronous motor (FOPMSM) model is investigated. The numerical solution of the FOPMSM system is derived based on Adomian decomposition method (ADM) that is a computationally efficient and high accurate method, and its dynamical behaviors are observed by means of phase diagrams, bifurcation diagrams, Lyapunov exponent spectra (LEs), Poincaré section and chaos diagram based on spectral entropy (SE) complexity. Comparison with some reported studies, the simulation results show that it has more rich dynamical characteristics. The lowest order for the existence of chaos is 2.115 that demonstrated by 0–1 test, which is lower than that existing result (2.85). Finally, the FOPMSM system is implemented by digital signal processor (DSP), which verifies the correctness of the solution algorithm and the physical feasibility of this system. It indicates that the FOPMSM system has broad application prospect.


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