Objective holographic feedbacks linearization control for boost converter with constant power load

Li, Jiyong; Pan, Hengyu; Long, Xinxin; Liu, Bin

doi:10.1016/j.ijepes.2021.107310

Cited by 13 publications

(6 citation statements)

References 31 publications

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“…Despite its simplicity, it also faces limitations and obstacles in the implementation phase. A feedback linearization control for the boost converter has been discussed in [19], [20]. The proposed technique assures robustness in terms of tracking and speed.…”

Section: Introductionmentioning

confidence: 99%

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PID based on a single artificial neural network algorithm for DC-DC boost converter

Guiza

Ounnas

Soufi

et al. 2023

IJEECS

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This research focuses on developing a proportional integral derivative controller based on a single artificial neural network (PID-SANN). The proposed control strategy drives the direct current (DC-DC) boost converter output voltage to follow the desired reference value. This controller calculates the PID gains via a learning algorithm based on an artificial single-neuron network, which overcomes the computational complexity of PID gains using analytical methods and automatically adjusts the controller parameters. The developed PID-SANN method offers the boost converter the appropriate duty ratio, which permits controlling the output voltage value despite fluctuations in the resistive load or input voltage. The obtained results confirm that the developed method can successfully surmount the constraints of conventional PID controllers and direct the output voltage of the considered DC-DC converter to follow the required value precisely.

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Section: Introductionmentioning

confidence: 99%

“…The proposed technique assures robustness in terms of tracking and speed. Nonetheless, in [19], the impacts of parasitic elements on electrical components are ignored. Li and Chen [20], the suggested controller cannot be employed in a broad range of variations due to an increased overshoot.…”

Section: Introductionmentioning

confidence: 99%

PID based on a single artificial neural network algorithm for DC-DC boost converter

Guiza

Ounnas

Soufi

et al. 2023

IJEECS

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show abstract

“…In addition, the CPL affects the power quality and system reliability. Therefore, the voltage regulation control method must ensure large signal stability [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…The objective holographic feedback linearization method is a nonlinear control method that bypasses the nonminimum-phase system by selecting the state variables of interest so that the system is stable and each state quantity can effectively track its reference value. In [8], the authors use the OHFLC method to design a controller for a non-minimum phase system, a boost converter with CPL, by incorporating the target state variables into the linear space and then using the linear optimal quadratic form of the linear control method. This method does not require complex mathematical analysis, and by changing the control parameters, the system poles can be adjusted for the purpose of stabilizing the system and tracking control [22].…”

Section: Introductionmentioning

confidence: 99%

An Objective Holographic Feedback Linearization Based on a Sliding Mode Control for a Buck Converter with a Constant Power Load

Li,

Pi,

Zhou

et al. 2023

Electronics

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As a typical load, the constant power load (CPL) has negative impedance characteristics. The stability of the buck converter system with a mixed load of CPL and resistive load is affected by the size of the CPL. When the resistive load is larger than the CPL, the buck converter with the output voltage as an output function is a non-minimum phase nonlinear system, because its linear approximation has a right-half-plane pole. The non-minimum phase characteristic limits the application of many control techniques, but the objective holographic feedback linearization control (OHFLC) method is a good control strategy that can bypass the non-minimum phase system and make the system stable. However, the traditional OHFLC method, in designing the controller, generally uses a linear optimal quadratic design method to obtain a linear feedback control law. It requires a state quantity component with a one-order relative degree to the system. But it is not easy to find such a suitable state quantity with a one-order relative degree to the system. In this paper, an improved OHFLC method is proposed for Buck converters with a mixed loads of CPL and resistive loads, using the sliding mode control (SMC) theory to design the controller, so that the output state quantity components with different relative degrees to the system can be used in the holographic feedback linearization method. Finally, the simulation and experimental results also demonstrate that this method has the same, or even better, dynamic response performance and robustness than the traditional OHFLC method.

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“…At present, there are many control methods designed to address the control problems of the system caused by uncertainties and disturbances, such as adaptive control [35,36] and active disturbance-rejection control [37,38]. In [39], an objective holographic feedback linearization control method, which has strong robustness, was designed for the boost converter with CPL. In [40], a composite prescribed performance-control strategy based on feedback linearization was developed.…”

Section: Introductionmentioning

confidence: 99%

Finite-Time Parameter Observer-Based Sliding Mode Control for a DC/DC Boost Converter with Constant Power Loads

Shang

2022

Electronics

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Constant power loads have negative impedance characteristics, which reduce the damping of DC/DC converter systems and have negative effects on the stability of the DC microgrid. In this paper, a finite-time parameter observer-based sliding mode controller is proposed for a boost converter with constant power loads. Firstly, a non-singular terminal sliding-mode controller is designed based on the flatness of the differential and sliding mode control theory. Secondly, a finite-time observer is designed to estimate the input voltage and tunes the parameter of the controller in time. Thirdly, the finite-time stability of the closed-loop system is proved through the proposed controller. Finally, the effectiveness and robustness of the proposed controller with unknown input voltage are verified by simulation. The proposed controller can guarantee finite-time convergence without input voltage sensors, which can reduce system cost and improve system reliability.

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Objective holographic feedbacks linearization control for boost converter with constant power load

Cited by 13 publications

References 31 publications

PID based on a single artificial neural network algorithm for DC-DC boost converter

PID based on a single artificial neural network algorithm for DC-DC boost converter

An Objective Holographic Feedback Linearization Based on a Sliding Mode Control for a Buck Converter with a Constant Power Load

Finite-Time Parameter Observer-Based Sliding Mode Control for a DC/DC Boost Converter with Constant Power Loads

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