Path Tracking and Optimization for Mecanum-Wheeled Robot via Linear Angle-to-Gain (LA-G) Method

Keek, Joe Siang; Loh, Ser Lee; Chong, Shin Horng

doi:10.1007/978-981-13-8323-6_4

Cited by 1 publication

(2 citation statements)

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“… The protection of the HESS from charging and discharging deeply. The Fractional Order Proportional Integral (FOPI) controller offers better performance in the nonlinear system compared to the Proportional Integral (PI) controller and furthermore, it reduces the peak error and the error [55]. An FLC unitbased energy management system was utilized to determine the reference currents of the HESS elements and activate the dump load based on the (On/Off) state of the switch Kd to protect the storage system from overcharging, control the operation of the PV system and the wind system, and manage the connection/disconnection of the grid based on the (On/Off) state of the switches Kpv, Kwind, and KGrid, respectively.…”

Section: Energy Management Systemmentioning

confidence: 99%

“…However, if the battery and the supercapacitor reach a low state of charge (SOCs < SOCmin), the grid will be disconnected from the hybrid energy system. 2) FOPID Control Unit: Despite the simplicity and controllability of the PID controller, it lacks durability in dealing with system uncertainties, to achieve improved robustness, the fractional-order PID Controller (FOPID) was designed while preserving the original simplicity [55].…”

Section: ) Fuzzy Logic Control Energy Management Unitmentioning

confidence: 99%

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Power Management Optimization of HES Connected to the Grid-Based IEMS

BOUTHIBA,

MEGHNI,

TALEB

et al. 2023

IJETAE

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This paper presents a study of a grid-connected hybrid energy system (HES) consisting of photovoltaic/wind/fuel cell/battery/supercapacitor (SC). The purpose of using SC with the battery is to create a hybrid energy storage system (HESS) with high energy density. To prevent overcharging of the latter, a discharge load was employed (in our case, a resistance). The objectives of this research are to operate the photovoltaic generator and the wind power generator at their maximum power points by applying the perturbation and observation (P&O) technique and the tip speed ratio (TSR) technique, respectively. On the other hand, the energy management of the proposed system aims to achieve an energy balance between the grid and the HES despite climate changes and changes in energy demand to which the system is exposed, and to lengthen the life cycle of the HESS by keeping the state of charge (SOC) within a limited range. This management is accomplished by using a classical energy management strategy. To achieve optimal power management of the proposed system, a new intelligent energy management strategy (IEMS) based on the FLC-FOPI is proposed. A comparative analysis was also conducted between the classical strategy and the proposed strategy. As for the grid-side converter, direct power control based on SOSMC technique (DPC-SOSMC) has been proposed to regulate the flow of active and reactive power according to grid demand based on HRES. To demonstrate the effectiveness of the proposed controllers, simulation results evaluating the proposed system under variable conditions are presented using the Matlab-Simulink platform.

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Section: Energy Management Systemmentioning

confidence: 99%

Section: ) Fuzzy Logic Control Energy Management Unitmentioning

confidence: 99%