Sliding Mode Control in Natural Reference Frame for Three-Phase LCL Filtered Active Front-End Converter

Hisar, Cagdas; Sefa, İbrahim; Altın, Necmi

doi:10.1109/ecai54874.2022.9847458

Cited by 3 publications

(2 citation statements)

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“…Although MIL and SIL methods can produce definite results, the results may differ from MIL and SIL, regarding real-time implementation of the algorithm [52]. For this reason, it is crucial to validate the control algorithm with PIL to obtain results close to the real application.…”

Section: Pil Verificationmentioning

confidence: 99%

“…While the microprocessor is running, the system model waits in a halt mode, and similarly, when the system model is running, the microprocessor waits in a halt mode. On the other hand, when preparing a PIL simulation, its limitations should be taken into account [52]. Due to the discretetime behavior of the microprocessor, the simulation environment in which the model is prepared should be suitable for discrete-time operation.…”

Section: Pil Verificationmentioning

confidence: 99%

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Optimal Control Method of Semi-Active Suspension System and Processor-in-the-Loop Verification

Ergin,

Yatak

2023

Applied Sciences

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This study presents an implementation of a proportional–integral–derivative (PID) controller utilizing particle swarm optimization (PSO) to enhance the compromise on road holding and ride comfort of a quarter car semi-active suspension system (SASS) through simulation and experimental study. The proposed controller is verified with a processor-in-the-loop (PIL) approach before real-time suspension tests. Using experimental data, the magnetorheological damper (MR) is modeled by an artificial neural network (ANN). A series of experiments are applied to the system for three distinct bump disturbances. The algorithm performance is evaluated by various key metrics, such as suspension deflection, sprung mass displacement, and sprung mass acceleration for simulation. The phase plane method is used to prove the stability of the system. The experimental results reveal that the proposed controller for the SASS significantly improves road holding and ride comfort simultaneously.

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Section: Pil Verificationmentioning

confidence: 99%

Section: Pil Verificationmentioning

confidence: 99%