Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

Krishna, S. Mohan; Daya, J. L. Febin; Padmanaban, Sanjeevikumar; Mihet‐Popa, Lucian

doi:10.3390/en10081077

Cited by 13 publications

(4 citation statements)

References 33 publications

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“…Reference [15], entitled "Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications" by Krishna et al, from India, South Africa and Norway, proposed an adaptive sliding mode Luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane was altered by incorporating the estimated disturbance torque with the stator currents.…”

Section: Review Of the Contributionsmentioning

confidence: 99%

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Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid

Saponara

Mihet‐Popa

2019

Energies

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The special issue “Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid” on MDPI Energies presents 20 accepted papers, with authors from North and South America, Asia, Europe and Africa, related to the emerging trends in energy storage and power conversion electronic circuits and systems, with a specific focus on transportation electrification and on the evolution of the electric grid to a smart grid. An extensive exploitation of renewable energy sources is foreseen for smart grid as well as a close integration with the energy storage and recharging systems of the electrified transportation era. Innovations at both algorithmic and hardware (i.e., power converters, electric drives, electronic control units (ECU), energy storage modules and charging stations) levels are proposed.

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Section: Review Of the Contributionsmentioning

confidence: 99%

“…The proposed special issue has invited submissions related to energy storage, power converters and e-drive systems for electrified transportation and smart grid [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. The particular topics of interest include: Integration of Internet of Things (IoT) into E-transportation.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid

Saponara

Mihet‐Popa

2019

Energies

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“…Unlike sliding mode controller (SMC), Lyapunov redesign controller, or LRC, is based only on Lyapunov function [50,51]. Consider a nonlinear system that is described by:…”

Section: Lyapunov Redesign Controller (Lrc)mentioning

confidence: 99%

Sliding Mode Controller and Lyapunov Redesign Controller to Improve Microgrid Stability: A Comparative Analysis with CPL Power Variation

et al. 2017

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Abstract:To mitigate the microgrid instability despite the presence of dense Constant Power Load (CPL) loads in the system, a number of compensation techniques have already been gone through extensive research, proposed, and implemented around the world. In this paper, a storage based load side compensation technique is used to enhance stability of microgrids. Besides adopting this technique here, Sliding Mode Controller (SMC) and Lyapunov Redesign Controller (LRC), two of the most prominent nonlinear control techniques, are individually implemented to control microgrid system stability with desired robustness. CPL power is then varied to compare robustness of these two control techniques. This investigation revealed the better performance of the LRC system compared to SMC to retain stability in microgrid with dense CPL load. All the necessary results are simulated in Matlab/Simulink platform for authentic verification. Reasons behind inferior SMC performance and ways to mitigate that are also discussed. Finally, the effectiveness of SMC and LRC systems to attain stability in real microgrids is verified by numerical analysis.

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“…Most of them focused on joint state estimation and adaptation at speeds ranging from low speeds to flux weakening regions [16,17]. Extended Luenberger observer (ELO) had an additional correction term [18] incorporated into the state dynamic equation, which involved the stator current error dynamics and provided more efficient dynamic and robust performance [19,20]. The variable structure concept [21] was also integrated into the ELO to constrain the system state and to reject the effect of the error dynamics, giving rise to sliding mode Luenberger observers (SMLOs) [22,23].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Processor-in-Loop Investigation of a Modified Non-Linear State Observer Using Sliding Modes for Speed Sensorless Induction Motor Drive in Electric Vehicles

et al. 2020

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Tracking performance and stability play a major role in observer design for speed estimation purpose in motor drives used in vehicles. It is all the more prevalent at lower speed ranges. There was a need to have a tradeoff between these parameters ensuring the speed bandwidth remains as wide as possible. This work demonstrates an improved static and dynamic performance of a sliding mode state observer used for speed sensorless 3 phase induction motor drive employed in electric vehicles (EVs). The estimated torque is treated as a model disturbance and integrated into the state observer while the error is constrained in the sliding hyperplane. Two state observers with different disturbance handling mechanisms have been designed. Depending on, how they reject disturbances, based on their structure, their performance is studied and analyzed with respect to speed bandwidth, tracking and disturbance handling capability. The proposed observer with superior disturbance handling capabilities is able to provide a wider speed range, which is a main issue in EV. Here, a new dimension of model based design strategy is employed namely the Processor-in-Loop. The concept is validated in a real-time model based design test bench powered by RT-lab. The plant and the controller are built in a Simulink environment and made compatible with real-time blocksets and the system is executed in real-time targets OP4500/OP5600 (Opal-RT). Additionally, the Processor-in-Loop hardware verification is performed by using two adapters, which are used to loop-back analog and digital input and outputs. It is done to include a real-world signal routing between the plant and the controller thereby, ensuring a real-time interaction between the plant and the controller. Results validated portray better disturbance handling, steady state and a dynamic tracking profile, higher speed bandwidth and lesser torque pulsations compared to the conventional observer.

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Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

Cited by 13 publications

References 33 publications

Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid

Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid

Sliding Mode Controller and Lyapunov Redesign Controller to Improve Microgrid Stability: A Comparative Analysis with CPL Power Variation

Real-Time Processor-in-Loop Investigation of a Modified Non-Linear State Observer Using Sliding Modes for Speed Sensorless Induction Motor Drive in Electric Vehicles

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