Robust Adaptive Controller for the Diesel Engine Air Path with Input Saturation

Larguech, Samia; Aloui, Sinda; Pagès, O.; Châari, Abdelkader

doi:10.1007/s12555-018-0300-x

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Hence, a considerable flexibility is granted to the designer to alter the objective by modifying the reference model. Although it has been extensively implemented and reported in diverse systems [43][44][45][46], MRAC has rarely been reported to control TM charge in space-based gravitational missions. MRAC is able to improve the performance of a closed-loop CMS when the system is aging or there are modeling uncertainties that result from unforeseen changes in the surface properties of a TM or from external disturbances, such as rapid changes in the radiation environment.…”

Section: Model Reference Adaptive Control (Mrac)mentioning

confidence: 99%

Adaptive charge control for the space inertial sensor

Yang¹,

Hong²,

Li³

et al. 2023

Class. Quantum Grav.

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Inertial sensors are key components of gravitational wave observations and Earth geodesy missions. An inertial sensor includes an isolated free-floating test mass (TM) surrounded by capacitive electrodes and a housing frame (EH) to perform the relative-position measurement and control the TM in six degrees of freedom. Owing to galactic cosmic rays (GCRs) and solar energetic particles (SEPs), many additional accelerations are introduced through the Coulomb interaction between charged TMs and their surrounding conducting surfaces. Thus, the TM charge control is critical in space-based missions. A contact-free and ultraviolet (UV) light-based charge management system (CMS) was developed to reduce charge-induced noises acting on the TMs and minimize force disturbances that can perturb measurements or interrupt science tasks. However, the operating environment for space charge control is full of uncertainties and disturbances. Physical parameters in the discharging process are rarely measured and will vary owing to changes in solar activity, temperature, and so on. The unpredictability and variability of these parameters affects the CMS performance in long-term space missions and must be evaluated or eliminated. This paper presents a simplified physical model for the discharge process based on electron exchange between the TM and the opposing EH. Subsequently, a model reference adaptive control (MRAC) is proposed for the CMS with parametric uncertainties to maintain the TM charge below a certain level and improve its robustness. The simulation results show that the MRAC can automatically adjust control parameters to eliminate the effect of the variability of the aforementioned physical parameters, and the control precision can reach 0.1 mV under uncertainties, which is superior to that of a classic proportional-integral-derivative controller. This study demonstrated the effects of adaptive charge control and its potential for actual applications.

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Section: Model Reference Adaptive Control (Mrac)mentioning

confidence: 99%

Adaptive charge control for the space inertial sensor

Yang¹,

Hong²,

Li³

et al. 2023

Class. Quantum Grav.

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“…Due to the strong coupling between the EGR and VGT actuators, it is necessary to establish a mathematical model for the DEAP system in order to achieve control. Many scholars have therefore developed mathematical models for the DEAP system and designed various control algorithms based on these models 11–16 . Aiming at the modeling and control of diesel engine, an overview of model of diesel engine is proposed 11 .…”

Section: Introductionmentioning

confidence: 99%

“…The effectiveness of the method is validated through experiments. In Reference 16, to address the issue of input saturation in DEAP system, a adaptive robust controller is designed by incorporating an auxiliary system to compensate for the effects of saturation.…”

Section: Introductionmentioning

confidence: 99%

“…Many scholars have therefore developed mathematical models for the DEAP system and designed various control algorithms based on these models. [11][12][13][14][15][16] Aiming at the modeling and control of diesel engine, an overview of model of diesel engine is proposed. 11 The simulations indicate that the model and control method have achieved a certain level of accuracy.…”

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confidence: 99%

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Adaptive integral sliding mode fault‐tolerant control for diesel engine air path system via disturbance observer

Wu,

Wang,

Zhang

et al. 2024

Intl J Robust & Nonlinear

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This paper proposes a fault‐tolerant control strategy for the air path system of a turbocharged diesel engine, considering the simultaneous presence of matched and mismatched external disturbances, additive and loss of effectiveness fault modes in the EGR and VGT subsystems. Firstly, a disturbance observer based on theory is designed for estimating additive faults and external disturbances, and the upper bound of observation error is obtained. Based on the observation information, an integral sliding mode surface is designed, and the effectiveness of the sliding mode surface is analyzed. For the loss of effectiveness faults in the actuators, a novel adaptive update sliding mode controller is designed. The proposed control algorithm can get the fault information of the system and achieve fault‐tolerant control of through controller reconstruction. Ultimately, the effectiveness of the proposed method is validated through simulations and comparative analysis.

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