Harmonic current compensator in battery charger using hybrid intelligent controller

Abstract

This paper proposes a current-controlled hybrid power filter (CCHPF) to compensate source current harmonics produced by battery charger. Current harmonics are compensated by the voltage- and current-controlled active power filter, whereas in the proposed system, current-controlled hybrid power filter is used. CCHPF overcomes the limitation of voltage-controlled harmonic compensator, conventional proportional integral controller and the passive filter which has high power loss and which may deteriorate the system frequency with high harmonic attenuation. In the proposed control system, the super twisting sliding mode algorithm (STSMA) is used with a modified form of active power theory and cognitive emotional controller to compute the three-phase compensating current reference and the DC link current regulation. The compensated reference signal obtained by sliding mode controller is used to generate switching pulses to current-controlled active power filter (CCAPF) switches. The significant contribution of the proposed system includes the development of CCHPF and its control strategy based on PI- and emotional controller-tuned STSMA to reduce the harmonic distortion of the source current used in electric vehicle charging. The passive power filter is designed to eliminate fifth-order harmonic current. A major advantage of the super twisting sliding mode control algorithm is its adaptability and robustness, which will result in improved reference current tracking without causing chattering. CCHPF is widely used for compensating harmonics generated by electric vehicle battery chargers, UPS systems and industrial loads. The control technique is implemented in MATLAB Simulink environment for dynamic load conditions, and the obtained result compensates the harmonic current to a required level (total harmonic distortion of source current is 0.79%) satisfying IEEE 519-1992 standard.

Keywords

active power filter cognitive emotional controller harmonic compensator power quality total harmonic distortion

Get full access to this article

View all access options for this article.

References

Ale Aghaee

(2012) Applying brain emotional learning based intelligent controller (BELBIC) to multiple-area power systems. Asian Journal of Control 14(6): 1–9.

Badoni

Singh

(2016) Comparative performance of wiener filter and adaptive least mean square-based control for power quality improvement. IEEE Transactions on Industrial Electronics 63(5).

Gali

Gupta

(2019) Experimental investigations on multitudinal sliding mode controller based interleaved shunt APF to mitigate shoot through and PQ problems under distorted supply voltage conditions. International Transaction on Electrical Energy Systems 29(1).

Han

Liu

(2016) Continuous higher-order sliding mode control with time-varying gain for a class of uncertain nonlinear systems. ISA Transactions 62: 193–201.

Huang

Wang

(2020) Fixed-time fractional-order sliding mode control for nonlinear power systems. Journal of Vibration and Control 26: 1425–1434.

Kim

H-S

Kim

J-S

(2016) Power quality improvement for grid connected inverters under distorted and unbalanced grids. Journal of Power Electronics 16(4): 1578–1586.

Krishna Kumar

Chandramohan

(2016) BELBIC control of DSTATCOM for voltage regulation. CEAI 18(2): 103–111.

Kumar Patjoshi

Mahapatra

(2017) High-performance unified power quality conditioner using non-linear sliding mode and new switching dynamics control strategy. IET Power Electronics 10(8): 863–874.

Momeni

Mazinan

(2019) Improvement of power quality in grid-connected inverter through adaptation-based control strategy. Energy Ecology Environment 4: 37–48.

10.

Moradi Zirkohi

(2019) An efficient optimal fractional emotional intelligent controller for an AVR System in power systems. Journal of AI and Data Mining 7(1): 193–202.

11.

Phan

Huang

(2016) Super-twisting sliding control design of three-phase inverter for stand-alone distributed generation systems. Journal of Control, Automation and Electrical Systems 27: 179–188.

12.

Thirumoorthi

Narri

(2014) Control of shunt active power filter using soft computing techniques. Journal of Vibration and Control 20(5): 713–723.

13.

Thirumoorthi

Raheni

(2017) Adaptive method for power quality improvement through minimization of harmonics using artificial intelligence. International Journal of Power 8(1): 470–482.

14.

Thirumoorthi

Yadaiah

(2015) Design of current source hybrid power filter for harmonic current compensation. Simulation Modelling Practice and Theory 52: 78–91.

15.

(2015) A Sliding mode control using brain limbic system control strategy for a robotic manipulator. International Journal of Advanced Robotic Systems 12(11): 1–7.