ABSTRACT:
The encoder influences reliability and cost of permanent
magnet synchronous motor (PMSM) operated solar water pump (WP). It is even sensitive
to electromagnetic noise and temperature, which thereby reduces its accuracy.
To overcome these problems, an encoderless PMSM control by using adaptive hybrid
generalized integrator (AHGI) based sliding mode observer (SMO) for the solar
WP system is presented in this paper. The widely used low pass filter based SMO
produces phase-shift, attenuation and dominant lower order harmonics (DLOH).
This decreases the position estimation accuracy. Besides, the need for tracking
dynamic system frequency further exacerbates its performance. The developed
AHGI structure eliminates these drawbacks and provides an accurate estimate of
position over a wide speed range. A harmonic decoupling network, a hybrid generalized
integrator and an adaptive frequency tracker constitute AHGI, which
respectively performs dominant harmonic signal generation, DLOH elimination and
frequency tracking. The improvement in behavior of AHGI over the existing
methods is analyzed by transfer functions, Bode plots and back
electromotive force helices. Meanwhile an incremental conductance algorithm for
PV array maximum power control is used. The developed structure is
experimentally validated on a laboratory prototype and a comparison with the
existing methods is also made.
KEYWORDS:
1.
Solar water
pump
2.
Solar
photovoltaic (PV) array
3.
Encoderless
control
4.
PMSM
5.
Adaptive
hybrid generalized integrator (AHGI)
6.
Adaptive
frequency tracker (AFT)
SOFTWARE: MATLAB/SIMULINK
SCHEMATIC DIAGRAM:
Fig. 1 Encoderless PMSM driven solar WP system with developed AHGI based SMO for rotor position estimation
EXPECTED SIMULATION RESULTS:
Fig. 2 Experimental performance of the
solar WP system with the developed AHGI based SMO (a) Starting at 1000 W/m2,
(b) Starting at 500 W/m2, (c),(d) continuous running at 1000 W/m2, (e),(f)
continuous running at 500 W/m2
Fig. 3 Experimental dynamic performance of solar WP system with the developed AHGI based SMO for irradiation variation from (a),(b),(c) 500 W/m2 to 1000 W/m2; (d),(e),(f) 1000 W/m2 to 500 W/m2
CONCLUSION:
An adaptive hybrid generalized
integrator (AHGI) based SMO for encoderless operation of PMSM driving a solar
WP has been presented here. It has been found that the developed AHGI structure
has produced a satisfactory estimate of both the speed and rotor position
through selective elimination of DLOH along with the removal of phase-shift and
fundamental attenuation. The improved performance of AHGI structure over the
LPF, SOGI and FOGI has been demonstrated by the transfer function and the
frequency response. Besides, the superiority of AHGI has also been shown
through both the simulated and experimental performances of back EMF and rotor
position. Even the detailed experimental performance of system with the AHGI at
continuous running and starting under dynamics of solar irradiation have been
obtained. It has been found that the developed AHGI structure has produced a
satisfactory estimate of αβ-components of back-EMF even under dynamics.
It has also been shown experimentally that the developed AHGI successfully
tracks the variations in the speed. A stable and reasonably satisfying
performance of the system has been observed under all operating conditions. The
developed AHGI structure can be used with any PMSM system for rotor position and
speed estimation.
REFERENCES:
[1] M. Rezkallah, A. Chandra, M.
Tremblay and H. Ibrahim, “Experimental Implementation of an APC With Enhanced
MPPT for Standalone Solar Photovoltaic Based Water Pumping Station,” IEEE
Trans. Sustain. Energy, vol. 10, no. 1, pp. 181-191, Jan. 2019.
[2] M. E. Haque, Y. C. Saw and M. M.
Chowdhury, “Advanced Control Scheme for an IPM Synchronous Generator-Based
Gearless Variable Speed Wind Turbine,” IEEE Trans. Sustain. Energy, vol.
5, no. 2, pp. 354- 362, April 2014.
[3] C. Lascu and G. Andreescu, “PLL
Position and Speed Observer With Integrated Current Observer for Sensorless
PMSM Drives,” IEEE Trans. Ind. Electron., vol. 67, no. 7, pp. 5990-5999,
July 2020.
[4] S. Shukla and B. Singh, “Reduced
Current Sensor Based Solar PV Fed Motion Sensorless Induction Motor Drive for
Water Pumping,” IEEE Trans. Ind. Informat., vol. 15, no. 7, pp.
3973-3986, July 2019.
[5] A. Andersson and T. Thiringer,
“Motion Sensorless IPMSM Control Using Linear Moving Horizon Estimation With
Luenberger Observer State Feedback,” IEEE Trans. Transport. Electrific.,
vol. 4, no. 2, pp. 464- 473, June 2018.
