Performance enhancement of SRM using smart bacterial foraging optimization algorithm based speed and current PID controllers

Manjula, A.; Kalaivani, L.; Gengaraj, M.; Maheswari, R. V.; Vimal, Si.; Kadry, Seifedine

doi:10.1016/j.compeleceng.2021.107398

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…In Figure 16, the proposed hydrostatic transmission system control performance is further compared with the contemporary reported work of Mohanty et al 36 Performance of the proposed IWLS-TLBO IT2-FPID controller has been compared for electrohydraulic motor speed control due to step wind speed change with recently reported PI 46 controller. The reference motor speed has been shown by black color dashed line, whereas the green color continuous and red color dashed lines are represented for recently reported experimental PI 46 controller response and proposed IWLS-TLBO IT2-FPID controller, respectively. The proposed IWLS-TLBO IT2-FPID controller has shown a better argument compared to the reported PI 46 controller.…”

Section: Resultsmentioning

confidence: 99%

“…The reference motor speed has been shown by black color dashed line, whereas the green color continuous and red color dashed lines are represented for recently reported experimental PI 46 controller response and proposed IWLS-TLBO IT2-FPID controller, respectively. The proposed IWLS-TLBO IT2-FPID controller has shown a better argument compared to the reported PI 46 controller.…”

Section: Resultsmentioning

confidence: 99%

“…The IT2-FPID controller parameter has been optimized through IWLS-TLBO, which provided satisfactory performance with pump fault as passive fault tolerance control. The proposed IWLS-TLBO IT2-FPID controller performance has been compared with the recently reported experimental 46 result. It has been observed through the performance index proposed IWLS-TLBO IT2-FPID controller performance has been found quite satisfactory.…”

Section: Discussionmentioning

confidence: 99%

“…Figure16. Comparison of the proposed IWLS-TLBO IT2-FPID with contemporary reported hardware in loop simulation PI controller46 for motor speed control with step wind speed.…”

mentioning

confidence: 99%

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Wind turbine electrohydraulic transmission system control for maximum power tracking with pump fault

Kumar

Venkaiah

Sarkar

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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The wind power generation system plays a significant role in the power sector as it is an environment-friendly green power system, increasing power demand, and technological development in wind power systems. Wind turbine systems are exposed to the harsh environment with continuous variation of wind speed with gusts causing damage and failure in system components along with the fluctuation of generated power. The hydrostatic transmission system has become one of the promising solutions over the gear transmission system for transmitting power from the turbine rotor to the generator. Further to reduce power generation costs in wind power systems, a suitable control system with parametric uncertainty and system fault plays a significant role. In this study, the 5 MW wind turbine model has been developed with the combination of blade element momentum theory and the electrohydraulic transmission system model. Moreover, the wind turbine system model has been imposed fault in the pump of electrohydraulic transmission system. The proposed wind turbine system model has been validated with the existing result. The blade element momentum theory has been used to estimate the optimum pump turbine couple rotational speed for maximum power tracking. Double loop controller has been used for wind turbine power transmission system control. The first controller loop has been used for pump and wind turbine system speed control for maximum power tracking, as a passive fault tolerance controller and the second control loop for motor and generator system speed control to regulate the frequency of the generated power. Interval type 2-fuzzy proportional–integral–derivative controller are suitable for high degree of uncertain system like wind power system due to their footprint of uncertainties. Proper choice of footprint of uncertainty provides robust performance against uncertainties and dynamic performance. Hence, the primary and secondary controller has been developed as interval type 2-fuzzy proportional–integral–derivative with inertial weight local search–based teaching–learning-based optimization controller. The inertial weight local search–based teaching–learning-based optimization interval type 2-fuzzy proportional–integral–derivative controller performance has been studied with benchmark sinusoidal test signals. The proposed inertial weight local search–based teaching–learning-based optimization interval type 2-fuzzy proportional–integral–derivative controller performance has been also compared with conventional proportional–integral–derivative and interval type 2-fuzzy proportional–integral–derivative controller. The proposed system performance has been compared with contemporary reported digital hydrostatic transmission wind turbine system and recently reported controller with consideration of fault in the pump. The proposed inertial weight local search–based teaching–learning-based optimization interval type 2-fuzzy proportional–integral–derivative controller performance has been compared through integral absolute error with interval type 2-fuzzy proportional–integral–derivative controller and recently reported proportional–integral–derivative sliding mode controller obtained as 0.0016, 0.0029, and 0.0031, respectively.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Figure16. Comparison of the proposed IWLS-TLBO IT2-FPID with contemporary reported hardware in loop simulation PI controller46 for motor speed control with step wind speed.…”

mentioning

confidence: 99%

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Wind turbine electrohydraulic transmission system control for maximum power tracking with pump fault

Kumar

Venkaiah

Sarkar

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…The rotor speed of the switched reluctance motor is shown in Figure13, and its change for time is displayed. We discovered that the speed fluctuates at first but then becomes constant after a certain point[15][18].…”

mentioning

confidence: 99%

PI Controller Based Switching Reluctance Motor Drives using Smart Bacterial Foraging Algorithm

Akkara

2022

EAI Endorsed Trans AI Robotics

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Optimization algorithms are commonly used in the industry. The optimization strategy, if key elements are ignored, can quickly render the solution unfeasible. As a result, various optimization strategies are applied at all aspects of the industry level. The switched reluctance motor is the most affordable of all motor types. The high torque density attribute of induction motors is one of the market's major drivers. Switched reluctance motors are also employed in high-volume and high-starting torque appliances. The Smart Bacterial Foraging Algorithm (SBFA) mimics the chemotactic behavior of E. Coli bacteria for optimization purposes. This method is used to calculate the coefficient of a typical Proportion–Integration (PI) speed controller for SRM drives while accounting for torque ripple reduction. The results of the modeling and experiments reveal that the modified PI controller with SBFA performs better. The proposed optimization strategy results in increased performance when compared to regular BFA.

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A Cascaded Controller Design for Switched Reluctance Motor Based on Dung Beetle Optimizer

Pan,

Wei,

Wang

2024

IEEJ Transactions Elec Engng

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Due to the strong nonlinearity and large torque ripple of switched reluctance motor, a cascaded fractional order PID sliding mode control system is designed. Considering the difficulty of parameter adjustment caused by the complexity of the system, the optimization technology using dung beetle optimizer is introduced to optimize the designed cascaded controller and control the speed and torque ripple. To prove the effectiveness of the proposed cascaded controller, a control model is built in MATLAB/Simulink, and compared with whale optimization algorithm, particle swarm optimization, sparrow search algorithm to verify the response effect of the cascaded controller. A cascaded double PID controller is also built for comparison to verify the effectiveness of fractional order PID sliding mode controller. The results show that the cascaded fractional order PID sliding mode controller optimized by dung beetle optimizer is better than another cascaded double PID controller, produces the minimum torque ripple, and has better speed response and stability. The torque ripple of motor is suppressed. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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Performance enhancement of SRM using smart bacterial foraging optimization algorithm based speed and current PID controllers

Cited by 10 publications

References 16 publications

Wind turbine electrohydraulic transmission system control for maximum power tracking with pump fault

Wind turbine electrohydraulic transmission system control for maximum power tracking with pump fault

PI Controller Based Switching Reluctance Motor Drives using Smart Bacterial Foraging Algorithm

A Cascaded Controller Design for Switched Reluctance Motor Based on Dung Beetle Optimizer

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