Trajectory Tracking Control for a Boost Converter Based on the Differential Flatness Property

Gil-Antonio, Leopoldo; Saldivar, Belem; Portillo-Rodríguez, Otniel; Vázquez-Guzmán, Gerardo; Oca-Armeaga, Saúl Montes De

doi:10.1109/access.2019.2916472

Cited by 24 publications

(13 citation statements)

References 32 publications

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“…By defining ̃ a1 = a1 −̂ a1 , ̃ b1 = b1 −̂ b1 and differentiating from Eqs. The most common method to determine these currents is using the equilibrium points of each converter (Gil-Antonio et al 2019). Thus, the PI controllers are not required.…”

Section: A1mentioning

confidence: 99%

Flatness-Based Decentralized Adaptive Backstepping Control of Cascaded DC–DC Boost Converters Using Legendre Polynomials

Shoja-Majidabad

2020

J Control Autom Electr Syst

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In this paper, decentralized adaptive backstepping control of cascaded DC-DC boost converters is studied in the presence of load and voltage uncertainties and interactions between the converters. First, a cascaded boost converter average model that covers both continuous and discontinuous conduction modes is extracted. Afterward, flatness property is applied to transfer the cascaded system states into a semi-canonical form. Further, a novel decentralized backstepping controller is proposed to track the reference voltages. In this control strategy, Legendre polynomials are utilized to estimate the uncertainties and interactions adaptively. The control method is simple and robust with less computational burden due to the polynomial estimator's application. Various simulations are performed for the cascaded DC-DC boost converters to indicate the effectiveness and performance of the proposed controller under the load and supply voltage changes.

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Section: A1mentioning

confidence: 99%

Flatness-Based Decentralized Adaptive Backstepping Control of Cascaded DC–DC Boost Converters Using Legendre Polynomials

Shoja-Majidabad

2020

J Control Autom Electr Syst

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“…The proportional term K p of the PI voltage controller is designed to be high enough, so that the dynamic response is not slowed down. Thus, the control equation of the proposed IEBC method is derived as (6). With the high robustness of the PI controller, the steady-state errors of the output voltage due to the neglection of circuit energy losses can be eliminated.…”

Section: The Derivation Of Control Equation and Implementation Omentioning

confidence: 99%

“…However, a switch condition first have to determine and there is no significant improvement on the input variations or disturbances [3] [4]. Recently, to get superior static and dynamic performances, various control methods were developed, such as hysteresis control, slidingmode control, fuzzy control, etc [5][6][7][8][9][10]. As an attempt to obtain excellent performances, the law of energy conservation, which states that the total amount of energy in a system is constant, has been introduced into the control field.…”

Section: Introductionmentioning

confidence: 99%

Improved Energy Balance Control for Boost Converters Without Estimating Circuit Energy Losses

Wang

Tang

2020

IEEE Access

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The previously developed control methods based on the conservation of energy in circuits require the accurate estimation of energy losses, which is difficult to measure and calculate for boost converters. Consequently, there always exist steady-state errors in the output voltage if neglecting such circuit energy losses. To address this issue, an improved energy balance control (IEBC) method is proposed in this paper by integrating a simplified energy balance controller (SEBC) with a PI controller. The proposed IEBC can reduce the steady-state output voltage errors without requiring the estimation of circuit energy losses. Furthermore, the proposed IEBC can operate in both the continuous current mode (CCM) and the discontinuous current mode (DCM), thus accurate static and fast dynamic performances are achieved over the entire load operation range. Moreover, the stability of the IEBC is proved using the Lyapunov stability criterion. Compared with that of the SEBC, both simulations and experiments validate the feasibility and robustness of the proposed IEBC method.

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“…As for the Objective 1), quite a few nonlinear control methods have been proposed to improve the transient performance and robustness of the DC/DC power converters, including flatness-based control [11], sliding-mode control [12], Lyapunov-based control [13], model predictive control [14] or passivity-based control [15]. All these typical well-developed control methods can achieve fast dynamic responses and high robustness properties.…”

mentioning

confidence: 99%

“…The results show that the steady-state errors under both methods can be eliminated. Nonlinear control methods, for example, flatness-based control [11], sliding-mode control [12], and model predictive control [14] for boost converter, Lyapunov-based control [13] and passivity-based control [19] for boost converter cascaded with LC filter, passivity-based control for boost and buck converters [15].…”

mentioning

confidence: 99%

Large-Signal Stable Nonlinear Control of DC/DC Power Converter With Online Estimation of Uncertainties

Pang

Nahid‐Mobarakeh

Pierfederici

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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The Passivity-Based Control (PBC) is recognized as an effective energy shaping approach to guarantee the asymptotic stability of the whole system by using the passivity property. However, the model-based and sensor-based characteristics limit its development and application. The combination of the PBC and online estimation technique can solve these problems. The purpose of this paper is to propose a controller and an observer, which are designed simultaneously based on Hamiltonian framework and Lyapunov criterion. It leads to the system design without separation of the dynamics of the controller and the observer. The uncertainties in the model and parameters are considered as equivalent voltage and current sources. To reduce the number of sensors, input voltage, output current, and equivalent sources are estimated together. The steady-state error is eliminated by using this estimation technique. The exponential stability of the whole system (converter, controller, and observer) is proved by using a proper Lyapunov function. Simulation and experimental results from a 3 kW 270−350 V DC/DC boost converter with a Constant Power Load (CPL) are performed to confirm the proposed control algorithm. Since the system parameter values may vary with temperature and the equilibrium point, the robustness of the proposed method is verified without and with parameters uncertainties.Index Terms-Large-signal stability, Interconnection and damping assignment passivity-based control (IDA-PBC), portcontrolled Hamiltonian (PCH), microgrid, DC/DC converter, constant power load (CPL), online estimation.

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Trajectory Tracking Control for a Boost Converter Based on the Differential Flatness Property

Cited by 24 publications

References 32 publications

Flatness-Based Decentralized Adaptive Backstepping Control of Cascaded DC–DC Boost Converters Using Legendre Polynomials

Flatness-Based Decentralized Adaptive Backstepping Control of Cascaded DC–DC Boost Converters Using Legendre Polynomials

Improved Energy Balance Control for Boost Converters Without Estimating Circuit Energy Losses

Large-Signal Stable Nonlinear Control of DC/DC Power Converter With Online Estimation of Uncertainties

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