Sliding Mode MRAS Speed Sensor less Vector Control for Submersible Motor

 ABSTRACT:

In consideration of the difficulty to install speed sensor result from special high temperature working environment of submersible motor, in this paper, a method of sliding mode model reference adaptive observer(SMMRAS) is used to estimate the speed of sensor less vector controlled submersible motor. This method combines variable structure control with model reference adaptive system (MRAS) to improve the accuracy of speed identification, and the stability and speediness capability of the system are proved by Lyapunov theory. The model of the speed-sensor less vector control system of induction motor is built by MatLab/Simulink. Theoretical analysis and the MATLAB simulation results show that the proposed method used in the system for speed identification has rapid response, and the static and dynamic performance is also perfect

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KEYWORDS:

1.      Submersible motor

2.      Speed sensor less

3.       Model reference adaptive system

4.      MRAS

5.      Speed estimation

SOFTWARE: MATLAB/SIMULINK

CONTROL SYSTEM:

Fig. 1. Speed identification scheme based upon MRAS

Fig. 2. Speed identification scheme based upon SM MRAS

EXPECTED SIMULATION RESULTS:

a)       Actual speed and estimated speed    

                 

                         

                                                          b) Torque response

Fig. 3Speed and torque curve when load increasing

                                                                        

                                       

                                  (a)    Actual speed and estimated speed  

                       

                              

                                                      (b) Torque response                                                                                                             

Fig4. Speed and torque curve of starting and braking

CONCLUSION:

In this paper the sliding mode speed observer is established. Stability  conditions of a model convergence is introduced by the Lyapunov stability theory. Use the space vector pulse width modulation (SVPWM) technology make the voltage control signal of motor is better optimization. Siding mode speed observer is to reduce the influence of parameters on the system, and to improve the accuracy of the speed identification. In this paper the method can better to achieve the speed identification of motor, has robustness to the parameter changes, can quickly follow the actual rational speed changes. Simulation results were given in the transient and steady states for various operating condition. The simulation results verify that the proposed control schemes provide good dynamics performance in tracking accuracy and disturbance rejection

REFERENCES:

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.[3] Zhang P F, Peng W D, Liu X G. Control of Induction Motor Based on

Model Reference Adaptive System[J].2011,34(1):197-199.

[4] Deng H, Xue B, Xu D G, Yang Jing. Speed Estimation for Submersible Motor Based on Elman Neural Network[J]. Proceedings of the CSEE,2007,27(24):102-106(in Chinese).

[5] Schauder C. Adaptive speed identification for vector control of induction motors without rotational transducers[J].IEEE Transactions on Industry Applications,1992,28(5):1054-1061.