Online Parameters Estimation and Autotuning of a Discrete-Time Model Predictive Speed Controller for Induction Motor Drives

Jabbour, Nikolaos; Mademlis, Christos

doi:10.1109/tpel.2018.2831459

Cited by 46 publications

(19 citation statements)

References 49 publications

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“…It is not restrained by the proportionate losses with the size of the motor. However, the less flexibility to control the rotation speed and frequency could impose a complex design of controller and inverters [45,46]. It is an obvious disadvantage considering that the EV typically operates in a wide range of speed.…”

Section: Electric Motor In Electrified Powertrainmentioning

confidence: 99%

Thermal Management of Electrified Propulsion System for Low-Carbon Vehicles

Huang

Wang

et al. 2020

Automot. Innov.

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An overview of current thermal challenges in transport electrification is introduced in order to underpin the research developments and trends of recent thermal management techniques. Currently, explorations of intelligent thermal management and control strategies prevail among car manufacturers in the context of climate change and global warming impacts. Therefore, major cutting-edge systematic approaches in electrified powertrain are summarized in the first place. In particular, the important role of heating, ventilation and air-condition system (HVAC) is emphasised. The trends in developing efficient HVAC system for future electrified powertrain are analysed. Then electric machine efficiency is under spotlight which could be improved by introducing new thermal management techniques and strengthening the efforts of driveline integrations. The demanded integration efforts are expected to provide better value per volume, or more power output/torque per unit with smaller form factor. Driven by demands, major thermal issues of high-power density machines are raised including the comprehensive understanding of thermal path, and multiphysics challenges are addressed whilst embedding power electronic semiconductors, non-isotropic electromagnetic materials and thermal insulation materials. Last but not least, the present review has listed several typical cooling techniques such as liquid cooling jacket, impingement/spray cooling and immersion cooling that could be applied to facilitate the development of integrated electric machine, and a mechanic-electric-thermal holistic approach is suggested at early design phase. Conclusively, a brief summary of the emerging new cooling techniques is presented and the keys to a successful integration are concluded.

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Section: Electric Motor In Electrified Powertrainmentioning

confidence: 99%

Thermal Management of Electrified Propulsion System for Low-Carbon Vehicles

Huang

Wang

et al. 2020

Automot. Innov.

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“…It can be observed that the recursive computation from K1 to K4 follows a pure serial flow, which means it cannot be accelerated by using parallel computation mechanisms. Moreover, advanced control systems for induction motors, such as model prediction control (MPC), require a behavior prediction in a finite horizon [30], which further exposes the flaw of this method. The other severe penalty of this explicit solver is that the numerical stability depends on the selection of Td, so Td has to be sufficiently small while It is a conflict to the computation efficiency.…”

Section: Analysis Approachmentioning

confidence: 99%

A Nonlinear Circuit Analysis Technique for Time-Variant Inductor Systems

Wang

Song

et al. 2019

Sensors

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Time-variant inductors exist in many industrial applications, including sensors and actuators. In some applications, this characteristic can be deleterious, for example, resulting in inductive loss through eddy currents in motors designed for high efficiency operation. Therefore, it is important to investigate the electrical dynamics of systems with time-variant inductors. However, circuit analysis with time-variant inductors is nonlinear, resulting in difficulties in obtaining a closed form solution. Typical numerical algorithms used to solve the nonlinear differential equations are time consuming and require powerful processors. This investigation proposes a nonlinear method to analyze a system model consisting of the time-variant inductor with a constraint that the circuit is powered by DC sources and the derivative of the inductor is known. In this method, the Norton equivalent circuit with the time-variant inductor is realized first. Then, an iterative solution using a small signal theorem is employed to obtain an approximate closed form solution. As a case study, a variable inductor, with a time-variant part stimulated by a sinusoidal mechanical excitation, is analyzed using this approach. Compared to conventional nonlinear differential equation solvers, this proposed solution shows both improved computation efficiency and numerical robustness. The results demonstrate that the proposed analysis method can achieve high accuracy.

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“…Since these types do not require a precise model of the process, they have found very wide applications in the field of IM control. Among original works we can found [3], [4] in fuzzy logic, and [5] in the field of control with ANN, or methods that combine both as in [6]. However, all these approaches suffer from computational burden and their use remains closely related to the development of computers and electronics.…”

Section: Introductionmentioning

confidence: 99%

Hybrid bacteria foraging-particle swarm optimization algorithm in DTC performance improving for induction motor drive

Rezgui

Benalla

Bouhebel

2021

IJEECS

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<p dir="ltr"><span>This paper presents a hybrid algorithm that combines the particle swarm optimization method with the bacteria foraging technique, named: BF-PSO. The aim is to achieve more efficient and precise parameters determination of the regulators that leads to performance improvement in the speed-loop control of an induction motor (IM) implemented in a direct torque control (DTC). The approach consists of tuning the proportional-integral (PI) parameters that meet high dynamics and tracking behavior using the hybrid BF-PSO algorithm. </span>Investigations have been completed with Matlab/Simulink and several performance tests are conducted. The comparison results are exposed with the most used indices in the controllers' tuning with optimization techniques. It will be shown that the presented technique presents better quality results compared to the conventional method of calculated PI.</p><div><span><br /></span></div>

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Online Parameters Estimation and Autotuning of a Discrete-Time Model Predictive Speed Controller for Induction Motor Drives

Cited by 46 publications

References 49 publications

Thermal Management of Electrified Propulsion System for Low-Carbon Vehicles

Thermal Management of Electrified Propulsion System for Low-Carbon Vehicles

A Nonlinear Circuit Analysis Technique for Time-Variant Inductor Systems

Hybrid bacteria foraging-particle swarm optimization algorithm in DTC performance improving for induction motor drive

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