A novel adaptive output feedback control for DC–DC boost converter using immersion and invariance observer

Malekzadeh, Milad; Khosravi, Alireza; Tavan, Mehdi

doi:10.1007/s12530-019-09268-7

Cited by 18 publications

(10 citation statements)

References 34 publications

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“…In Equation 10, Q and R are weighted matrices and x and u are state variables and control input vector, respectively. By considering closed-loop system equation (9), LQR technique with performance index (10) cannot be applied because it is not in standard form due to disturbance terms in matrix form of system state equations. To eliminate reference voltage and disturbance terms, an operator Δ c (D c ) = det(D c I − A c ) is defined where D c is a the differentiating operator.…”

Section: Optimal Control Problemmentioning

confidence: 99%

“…This kind of controllers has advantages such as providing good results in a steady state in dealing with parametric uncertainties. 9,10 However, this method has a complex theory and also cannot cope with huge parameter values changes in a short time. 11 Moreover, the use of this method to improve the transient state is highly dependent on the defined reference model.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most popular conventional methods to control boost converters is adaptive‐based controllers. This kind of controllers has advantages such as providing good results in a steady state in dealing with parametric uncertainties 9,10 . However, this method has a complex theory and also cannot cope with huge parameter values changes in a short time 11 .…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear robust‐optimal control of boost converter in photovoltaic applications

Amirparast

Gholizade‐Narm

2020

Adv Control Appl

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The negative aspects of overusing fossil fuels for producing electricity attract the attention of engineers society to use renewable energies. Power electronic converters play an important role in the transmission and usage of renewable energy in the industry. Boost converters are a major part of devices in which convert renewable energies into usable energy for various industries or appliances. In this article, to control a boost converter with parametric uncertainty, a new robust‐optimal controller is designed. The proposed control method is designed based on merging two conventional control theory: the robust control theory and linear quadratic regulator technique. This method consists of two nested loops. The inner loop composed of a state feedback controller which works as active damping to improve the transient state. The outer loop consists of a PI controller to track the desired voltage and reject disturbance. The coefficients of both controllers are computed by a robust‐optimal control technique. To evaluate the proposed control method, a well‐tuned single‐loop PI controller and a quantitative feedback theory based PID controller are compared with the proposed method. As shown by simulations, the proposed method has a more reliable performance in dealing with parameters uncertainties such as load changes and input voltage drops.

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Section: Optimal Control Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nonlinear robust‐optimal control of boost converter in photovoltaic applications

Amirparast

Gholizade‐Narm

2020

Adv Control Appl

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“…In References [18,19], based on the immersion and invariance (I&I) technique, a sensorless controller, which combines a nonlinear controller and state observer, is developed to stabilize boost converters. It is noted that the exponential stability of a closed-loop system is ensured.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control for DC–DC Boost Converter via Generalized Parameter Estimation-Based Observer

Zhang

Martinez-Lopez

et al. 2021

Applied Sciences

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The full-information state feedback controller is usually used for regulating the output voltage of converters. Sufficient sensors should be adopted to measure all of the states. However, the extensive use of current sensors not only increases the cost of the overall system, but also affects the reliability. In this paper, the sensorless control problem of DC–DC boost converters is addressed to avoid the need for the current sensor. First, a PI passivity-based control (PI-PBC) is proposed to stabilize this converter. The main feature of this design is that the exponential convergence of the system is guaranteed. Afterward, a generalized parameter estimation-based observer (GPEBO) is presented to estimate the inductor current with the finite-time convergence (FTC). By adding this estimate in the above PI-PBC, a sensorless controller is developed. Thanks to this FTC, the exponential convergence of an overall closed-loop system is ensured. Finally, the simulation and experimental results are given to assess the performance of the proposed controller.

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“…Because, when the converter is applied in noisy circumstance, the sensor cannot transfer exact information [18,19]. Also, if the parameters of the system change drastically, the sensor performance will drop [20]. In order to unravel this problem, researchers have suggested observer.…”

Section: Introductionmentioning

confidence: 99%

An immersion and invariance based input voltage and resistive load observer for DC–DC boost converter

2019

Self Cite

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In this paper, a new nonlinear observer is presented for DC-DC boost converter using immersion and invariance (I&I) technique. The proposed nonlinear observer is easy to implement, simple to tune and realizes global exponential convergence of the estimation error to zero. It is assumed that the input voltage and output load of converter are unavailable and the I&I observer is designed to estimate unavailable parameters using output voltage and inductor current information. Considering optimal performance of observer, an improved particle swarm optimization algorithm is employed to determine observer gains. The search space of parameters in the proposed optimization algorithm is modified and according to this modification, the weak parameters is eliminated and the new parameters are defined for optimization process instead of them. In order to validate the effectiveness of the proposed observer, the practical test is implemented and the experimental results confirm the efficiency of the proposed I&I observer.

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A novel adaptive output feedback control for DC–DC boost converter using immersion and invariance observer

Cited by 18 publications

References 34 publications

Nonlinear robust‐optimal control of boost converter in photovoltaic applications

Nonlinear robust‐optimal control of boost converter in photovoltaic applications

Sensorless Control for DC–DC Boost Converter via Generalized Parameter Estimation-Based Observer

An immersion and invariance based input voltage and resistive load observer for DC–DC boost converter

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