Regenerative Braking Mode Operation of a Three-Phase H-Bridge Inverter Fed PMBLDC Motor Generator Drive in an Electric Bike

Joy, Jino; Ushakumari, S.

doi:10.1080/15325008.2018.1535529

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…Table 1 contains a list of the BLDC motor's specifications [36] that were employed in this study. The open-loop motor transfer function GP(s) can be found by replacing the values in Table 1 in (11), which is represented by (29).…”

Section: Implementation Of Dtbo-pid Controller For Speed Control Of B...mentioning

confidence: 99%

An intelligent PID controller tuning for speed control of BLDC motor using driving training-based optimization

Sarma,

Bardalai

2023

IJPEDS

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Tuning of proportional-integral-derivative (PID) controller remains a matter of great concern for the control engineers as it plays a major role to obtain optimal performance of any system Due to their simplicity and excellent efficiency, metaheuristic algorithms have recently become extremely popular among researchers for handling a wide range of real-world optimization challenges. In order to optimize a PID controller for managing the speed of a BLDC motor, this work proposes a novel application of the driving training-based optimization (DTBO) algorithm, one of the latest and most recent human-based metaheuristic algorithms. The purpose of this present study is to optimize a PID controller for a BLDC motor speed control by DTBO method and evaluate its performance with a similar controller tuned by grey wolf optimization (GWO) method. Additionally, the suggested DTBO-PID controller's robustness analysis is being carried out with BLDC motor parameter modifications as well as a comparison to the GWO-PID controller. The comparison is carried out in MATLAB/Simulink, and the results are based on common step response metrics such rise time, settling time, and maximum overshoot. For easier comprehension, the results are presented in tabular and graphical form. The chosen BLDC motor drive system's selected DTBO-PID controller performs better and is more reliable than the GWO-PID controller, according to the final simulation findings.

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Section: Implementation Of Dtbo-pid Controller For Speed Control Of B...mentioning

confidence: 99%

An intelligent PID controller tuning for speed control of BLDC motor using driving training-based optimization

Sarma,

Bardalai

2023

IJPEDS

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“…Most of the research literature on CRM does not place emphasis on energy considerations. Optimization of the energy consumption for single robots and general electromechanical systems is well documented [5], [2], [7], [1], [11], [4], [6], [3], [12], [13], [14], [15], [16]. In the field of robotics, researches in [2], [1], [4], [3] minimized energy consumption considering capacitive storage elements.…”

Section: A Review Of Related Workmentioning

confidence: 99%

“…These ideas were applied for powered human assistive devices [6], [11], [12], and aerospace applications [7], [14], [5]. Energy-oriented control studies have also been conducted with a focus on actuator design and dynamics [3], [15], [16].…”

Section: A Review Of Related Workmentioning

confidence: 99%

An Overview of Energy-Optimal Impedance Control of Cooperative Robot Manipulators

Ghorbanpour,

Richter

2021

Preprint

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An impedance-based control scheme is introduced for cooperative manipulators grasping a rigid load. The position and orientation of the load are to be maintained close to a desired trajectory, trading off tracking accuracy by low energy consumption and maintaining stability. To this end, the augmented dynamics of the robots, their actuators and the load is formed, and an impedance control is adopted. A virtual control strategy is used to decouple torque control from actuator control. An optimization problem is then formulated using energy balance equations. The optimization finds the damping and stiffness gains of the impedance relation such that the energy consumption is minimized. Furthermore, L2 stability techniques are used to allow for time-varying damping and stiffness in the desired impedance. A numerical example is provided to demonstrate the results.

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“…Hellgren et al [6] demonstrated that the distributed-driven configuration of EVs has superior energy recycle potential than a central driven. Joy et al [7] presented an integrated power circuit and electronic commutator control strategy to improve the generating energy of EVs. Kiddee et al [8] designed a hybrid energy storage system, which uses the supercapacitor and lithium-ion battery to enhance the harvesting of braking energy.…”

Section: Introductionmentioning

confidence: 99%

Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles

Dong¹,

Zhuang

Yin³

et al. 2020

Preprint

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To improve the energy efficiency of electric vehicles (EVs), this paper presents an energy-optimal braking strategy (EOBS) considering shared braking intention. First, a double-layer control scheme is formulated. In the upper-layer, an energy-optimal braking problem with braking intention is formulated and solved by distance-based dynamic programming, which could derive the energy-optimal braking trajectory. In the lower-layer, a linear time-varying model predictive (LTV-MPC) controller is designed to track the desired trajectory while ensuring braking comfort and safety. Second, several simulations are conducted to demonstrate the regeneration energy efficiency improvement of proposed EOBS. Finally, the energy-optimal braking mechanism of EVs is investigated based on the analysis of braking deceleration, battery charging power, and motor efficiency.

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Regenerative Braking Mode Operation of a Three-Phase H-Bridge Inverter Fed PMBLDC Motor Generator Drive in an Electric Bike

Cited by 7 publications

References 4 publications

An intelligent PID controller tuning for speed control of BLDC motor using driving training-based optimization

An intelligent PID controller tuning for speed control of BLDC motor using driving training-based optimization

An Overview of Energy-Optimal Impedance Control of Cooperative Robot Manipulators

Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles

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