Finite control set model predictive control approach of nine switch inverter-based drive systems: Design, analysis, and validation

Gülbudak, Ozan; Gökdağ, Mustafa

doi:10.1016/j.isatra.2020.10.037

Cited by 29 publications

(5 citation statements)

References 21 publications

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“…Based on the research of the cable temperature calculation method and artificial intelligence technology, the digital twin frame of cable temperature calculation is further designed, as shown in Figure 9. Referring to the five-dimensional model of digital twin technology in the industrial field, a digital twin cable model (DTCTM) is proposed, which includes five parts: physical entity, digital twin, twin data, virtual-real connection and intelligent application, as shown in Equation (20).…”

Section: Digital Twin Platform For Cable Temperature Calculation Base...mentioning

confidence: 99%

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Cable Temperature Prediction Based on RF-GPR for Digital Twin Applications

et al. 2023

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With the wide application of power cables in the field of transmission and distribution and the increasing emphasis of power departments on the reliability, safety and stability of power cable operation, how to more accurately and quickly analyze the temperature distribution of power cables and how to evaluate the running state of power cables have become research hotspots. Through the combination of finite element calculation and the artificial intelligence method, an innovative method of digital twin cable temperature prediction based on RF-GPR is proposed in this paper. Firstly, the finite element method is used to calculate the coupling of the electromagnetic field and temperature field of a 10 kV AC cable laid in the cable trench, and a certain amount of basic data are provided through the finite element calculation results. Then, using the basic principle of the random forest (RF) variable importance score, the RF-GPR cable temperature prediction model is constructed using the series hybrid model and Gaussian process regression (GPR), the model prediction results are compared and analyzed, and the calculation time is improved by about 1500 times. Finally, a digital twinning platform for cable temperature calculation based on RF-GPR is designed, which provides technical support for the application of digital twinning.

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Section: Digital Twin Platform For Cable Temperature Calculation Base...mentioning

confidence: 99%

“…Ref. [20] realized the predictive control of an NSI system in dual-output mode and six-phase mode based on the model prediction method of the finite control set. Ref.…”

Section: Introductionmentioning

confidence: 99%

Cable Temperature Prediction Based on RF-GPR for Digital Twin Applications

et al. 2023

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“…Recently, the model predictive control (MPC) attracted many scholars, drawing attention to vehicle control [14][15][16]. MPC is an optimization-based control method whose objective function uses relative errors [17].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Particle Swarm Optimization Genetic LQR Controller for Active Suspension

Zhao

2023

Applied Sciences

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In this paper, a hybrid particle swarm optimization genetic algorithm LQR controller is used on a quarter car model with an active suspension system. The proposed control algorithm is utilized to overcome the shortcoming that the weight matrix Q and matrix R determined by experience in the traditional LQR control method. The proposed hybrid control method makes it possible to achieve the optimal control effect. A full-order state observer is proposed to observe the state of active suspension. A quarter car active suspension model and road input model are presented at first, and the LQR controller based on the hybrid particle swarm optimization genetic algorithm is utilized in the active suspension system control. Sprung mass acceleration, suspension deflection, and tire dynamic load are selected as the control effect evaluation index. Next, simulation results are presented. According to the results, compared with the passive suspension and active suspension with a traditional LQR control, there is an obvious reduction in the sprung mass acceleration, deflection, and tire dynamic load with an optimized controller under case 1 and case 2. Simultaneously, the system state fed back by the full-order state observer can effectively reflect the true state of the active suspension system.

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“…To achieve the effective power conversion based on HRES, the rectifier, boost converters and inverters play an important role [15]. For each power generation system, the individual or combined DC/DC converter can be used [16]. Moreover, another essential configuration is DC/AC converter configuration and its control mechanism [17].…”

Section: Introductionmentioning

confidence: 99%

Hybrid MDA-ANFIS approach based control of grid connected solar system with nine level inverter wind energy conversion

Apparao¹,

Sekhar²

2023

IRASE

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A hybrid approach is proposed in this paper to achieve the load power requirement for grid connected hybrid photovoltaic wind system. The proposed approach is the combined execution of both the Modified Dragonfly Algorithm (MDA) and Adaptive Neuro-Fuzzy Interference System (ANFIS), hence it is called MDA-ANFIS. ANFIS approach is improved by the MDA approach to minimize the error functions. The main aim of the proposed approach is satisfying the load power requirement and obtains the maximum energy from the hybrid wind solar system. Through the modelling of operating modes of generation units, the proposed approach determines the switching states of the inverter. The MDA approach is utilized to generate the dataset and the data set is processed by ANFIS, which creates the control signal. By using the proposed approach, it was possible to minimize the system parameter radiation, external disturbances as well as optimally fulfill the load demand. The proposed method is activated in MATLAB/Simulink platform, and its performance is compared with existing methods.

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Finite control set model predictive control approach of nine switch inverter-based drive systems: Design, analysis, and validation

Cited by 29 publications

References 21 publications

Cable Temperature Prediction Based on RF-GPR for Digital Twin Applications

Cable Temperature Prediction Based on RF-GPR for Digital Twin Applications

Hybrid Particle Swarm Optimization Genetic LQR Controller for Active Suspension

Hybrid MDA-ANFIS approach based control of grid connected solar system with nine level inverter wind energy conversion

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