Model Predictive Control Based PID Controller for PMSM for Propulsion Systems

Abdelrauf, Ahmed A.; Saad, Waseem W.; Hebala, Ahmed; Galea, Michael

doi:10.1109/esars-itec.2018.8607585

Cited by 14 publications

(9 citation statements)

References 22 publications

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“…The controller gains in (3) are tuned based on the pole zero cancelation method where they are selected according to (4) and (5) [7,8], where L' and r' represent the machine nominal parameters in Table 1. Note that their values might be different from the actual machine parameters L and r.…”

Section: A Conventional Pi CC With Pole/zero Cancelation Methods (1 Smentioning

confidence: 99%

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Fast and Simple Tuning Rules of Synchronous Reference Frame Proportional-Integral Current Controller

et al. 2021

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Synchronous reference frame proportional-integral (PI) current controller (CC) is considered the most well-established solution for the current regulation in electrical drives. However, the gain selection of the PI CC is still regarded to be poorly reported, particularly in relation to the effect of the inevitable execution time taken by the controller and inverter. Mostly, tuning process of PI CC is done by trial and error or using simple rules based on pole zero cancelation and pole placement methods which ignore time delays through the controller and inverter. Hence, PI CC delivers significantly different performance compared to the expected one during the digital implementation, especially if high bandwidth or low ratio between the switching and operational frequency are required. Therefore, this paper firstly addresses and analyses the common tuning rules of PI CC which ignore the existence of time delays followed by a rigorous analysis for PI CCs' robustness to the influence of computational and modulation delays. Based on this analysis, generic recommendations have been proposed to select the PI CCs' gains as a function of the electrical drive switching frequency considering the delay effect. A set of simple, generic, and fast tuning rules were derived that guarantee fast dynamic performance with reasonable stability margins. Moreover, the effects of model uncertainties on these developed rules have been analyzed and reported. Comprehensive experimental results are provided to prove the key analytical results of this study and to validate the proposed design recommendations.

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Section: A Conventional Pi CC With Pole/zero Cancelation Methods (1 Smentioning

confidence: 99%

“…It can be argued that the current control loop has a major effect on the overall system performance [1]. Therefore, many studies that investigate various current control schemes are reported in [2][3][4][5]. The hysteresis controller, for instance, can achieve instantaneous tracking of the reference.…”

Section: Introductionmentioning

confidence: 99%

Fast and Simple Tuning Rules of Synchronous Reference Frame Proportional-Integral Current Controller

et al. 2021

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“…receding horizon control), an operational power management could use a two-stage control methodology consisting of some form of EMS optimisation and a continuously modulated mechanism (e.g. PID, predictive control) in order to exploit pre-driving and on-line power allocation [22], [40], [64]. In the former stage (pre-driving), the system could use a ground movement forecast [4], [65], [66] (e.g.…”

Section: Applications On Real Time Operational Taxiingmentioning

confidence: 99%

Energy Storage System Selection for Optimal Fuel Consumption of Aircraft Hybrid Electric Taxiing Systems

Recalde

Lukic

Hebala

et al. 2021

IEEE Trans. Transp. Electrific.

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Aircraft taxiing is conventionally performed using the main engines' inefficient idle thrust. Therefore, in line with greener aviation, the electrification of taxiing is the most viable option to reduce emissions, noise, and fossil fuel consumption during ground operations. This paper studies the potential of hybridising the conventional electric taxiing system, which is currently driven by the Auxiliary Power Unit, with an electrical energy storage system, comprising commercial high-energy and high-power lithium-ion batteries, for the purpose of reducing fuel consumption. Hence, a power distribution optimisation is formulated to minimise fuel consumption over a typical worst-case taxi-out profile. Three different energy management strategies are presented for a narrow-body aeroplane. The optimisation is performed for the selection of off-the-shelf batteries so that their impact on fuel savings can be evaluated in the early design stage.The study showed that a wide range of savings is achievable according to the selected strategy, the added weight allowance and the battery characteristics. Considering a 180 kg added weight allowance and covering the three investigated strategies, up to 72% of taxiing fuel is saved.

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“…MPC has been applied successfully for different applications to enhance the performance and robustness. It has been applied for different electrical machines including PMSM [27], [9]. MPC can replace the PI controllers' loops to obtain the FOC strategy taking into consideration the system constraints through the MPC cost function.…”

Section: Model Predictive Controlmentioning

confidence: 99%

“…The MPC cost function is given by [27,29]: 24) subject to a discrete state-space model in ( 22) and ( 23), where ( ) 3 * 1 = ( ) 3 * 1 − ( ) 3 * 1 is the error, ( ) 3 * 1 is the system output, ( ) 3 * 1 is the reference input, ( ) 2 * 1 is the system control input, Q( ) 3 * 3 and R( ) 2 * 2 are weighting matrices, ny is the prediction horizon value and nu is the control horizon value. The model could be used recursively to find the predictions over the prediction horizon ny as follows:…”

Section: Model Predictive Controlmentioning

confidence: 99%

Investigating Electrical Drive Performance Employing Model Predictive Control and Active Disturbance Rejection Control Algorithms

Aboelhassan

Diab

Galea

et al. 2020

2020 23rd International Conference on Electrical Machines and Systems (ICEMS)

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Many issues can degrade the electrical drive performance such as cross-coupling, time delay, external disturbances, and parameter variation. The Synchronous Reference Frame (SRF) PI Current Controller (CC) is the most popular control scheme for the motor drive current control due to its simplicity. However, the PI controller does not have an optimal dynamic response due to the reasonably low transient response of the integral parts. Furthermore, the tuning of the PI controller depends heavily on the machine's parameters. Recently, alternative control schemes such as Model Predictive Control (MPC) and Active Disturbance Rejection Control (ADRC) are studied due to their dynamic performance and disturbance rejection capability, respectively. This paper presents a comparative study between the conventional PI, ADRC, and MPC control schemes applied for Permanent Magnet Synchronous Motor (PMSM) taking into consideration the operational issues of electrical drives.

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Model Predictive Control Based PID Controller for PMSM for Propulsion Systems

Cited by 14 publications

References 22 publications

Fast and Simple Tuning Rules of Synchronous Reference Frame Proportional-Integral Current Controller

Fast and Simple Tuning Rules of Synchronous Reference Frame Proportional-Integral Current Controller

Energy Storage System Selection for Optimal Fuel Consumption of Aircraft Hybrid Electric Taxiing Systems

Investigating Electrical Drive Performance Employing Model Predictive Control and Active Disturbance Rejection Control Algorithms

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