Results 71 to 80 of about 150,005,563 (207)
Emulation of Mechanical Loads in Electric Drives – An Overview of Methods
Power Electronics and Drives, 2023 The aim of the presented paper is to introduce the reader to hardware-in-the-loop (HIL) simulation in electric drives, the motivation for its usage and its benefits.
Šlapák Viktor +3 more
doaj +1 more source
Energy Conversion and Economics, Volume 7, Issue 4, Page 260-278, August 2026.Abstract Modern power systems require increasingly flexible and responsive power conversion, driving the need for power converters with enhanced controllability and adaptability, where artificial intelligence (AI) plays a key role in enabling intelligent decision making, adaptive control and system level optimization.
Pingyang Sun +5 more
wiley +1 more source
Implementation of the Semi-physical Simulation Platform for Photovoltaic Inverter
Kongzhi Yu Xinxi Jishu, 2014 dSPACE real-time simulator was chosen as the implementation platform of hardware-in-loop simulation(HIL) for photovoltaic inverter. The hardware structure of CPU and FPGA was used to establish the simulation models of CPU and FPGA respectively ...
WANG Jian, XU Wei, ZHANG Jie
doaj
A versatilely high fidelity electric machines emulator for rapid testing of motor controller.
PLoS ONEElectric machines emulators (EMEs) based on hardware-in-the-loop (HIL), which effectively act as emulators to mimic the actual motor behavior of Interior Permanent Magnet (IPM) machines.
Yifeng Guo +5 more
doaj +1 more source
Reconfigurable Hardware-in-the-Loop Simulator
Measurement + Control, 2010 The key innovation of the described Hardware-in-the-loop (HIL) simulator is the use of flexible and software reconfigurable signal-conditioning to establish connectivity between the HIL simulator and the prototype Electronic Controller Units (ECUs) in ...
Suguna Thanagasundram +4 more
doaj +1 more source
IEEE Access, 2019 The violent ship roll directly affects the safety of sea navigation and the ability to perform tasks, which makes ship anti-rolling become a research focus.
Lihua Liang +3 more
doaj +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Energies, 2018 An industrial-oriented water tank level control system with PLC- and Simulink-based fractional-order controller realizations is presented. The discrete fractional-order and integer-order PID implementations are realized via the PLC and Simulink simulator.
Arkadiusz Mystkowski +1 more
doaj +1 more source
A Novel Digital Twin Platform for Accelerating Power Systems Restoration
Energy Internet, Volume 3, Issue 2, Page 111-141, July 2026.Hardware Architecture Design of DT System in Laboratory. ABSTRACT With the global energy structure transforming towards the goal of net zero emissions, the penetration of an inverter‐based resource (IBR) in power systems is increasing. This transformation poses two critical challenges: the system post blackout restoration process becomes extremely ...
Yiliang Fan +8 more
wiley +1 more source
, 2017 This paper develops a sliding mode fault tolerant control scheme based on an LPV system representation of the plant. The scheme involves a control allocation component, which is capable of fully utilizing the available actuators in the face of actuator ...
M Sato (13479772) +3 more
core +6 more sources