Observer-Based Capacitor Current Sensorless Control Applied to a Single-Phase Inverter System With Seamless Transfer

Huang, Shu-Syuan; Konishi, Y.; Yang, Zong‐Zhen; Hsieh, Min-Ju

doi:10.1109/tpel.2018.2840323

Cited by 29 publications

(12 citation statements)

References 21 publications

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“…The power density improvement is one of the objectives in on-board microgrids. The reduction of the number of sensors can offer a cost-effective solution to achieve this mission [28]. To this end, many estimation techniques have already been published for DC/DC power converters to realize sensorless control.…”

Section: Objective 4)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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Section: Objective 4)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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“…After adding a sub-controller that matches the 50% load of the intermediate process, the dynamic deviation of the multi-model PID control system during the switching process is significantly reduced. From this we can infer that the greater the number of sub-models and sub-controllers, the smaller the oscillation of the switching process, but the complexity and calculation of the control system will also increase [10]. In practical applications, the optimal method can be selected to improve the switching jitter according to the limitation of the switching time and switching amplitude in the production process.…”

Section: Control Strategy Comparison Simulation Testmentioning

confidence: 99%

Superheated steam temperature system of thermal power control engineering based on neural network local multi-model prediction

Zhan

Du²,

Dong

et al. 2021

THERM SCI

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The superheated steam temperature object of thermal power plant has the characteristics of time lag, inertia and time-varying parameters. The control quality of the conventional proportional integral derivate controller with fixed parameters will decrease after the object characteristics change. The generalized predictive control strategy of superheated steam temperature based on neural network local multi-model switching can achieve the goal of designing sub-controllers for fixed models under several typical operating conditions. When the system operating conditions change, the effective switching strategy is timely and accurate. Switch to the most suitable controller. The paper proposes a new smooth switching method, which can effectively suppress the large disturbance phenomenon of the object when switching. The simulation results verify the effectiveness of the control strategy.

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“…Another factor that seriously sways the performance of VSI is the condition of faulty current sensor [8]. The control algorithms that are developed based on this feedback of the current sensor will be affected if the sensor is faulty or malfunctioning [9][10][11]. Therefore, for inverter controller design, it is imperative to design a sensorless robust controller that can withstand a wide range of load variations including non-linear loads with minimized THD and reduced steady-state error.…”

Section: Introductionmentioning

confidence: 99%

“…The common solution to this problem is to replace the sensors with state estimator. Various estimation algorithms have been presented in the literature such as current emulator [9], sliding mode observer [25] luenberger observer [10], pole placement based observation [26], linear quadrature regulator (LQR) [27], extended state observer (ESO) [28], etc. The performance and accuracy of these estimation techniques also depend upon proper gain selection methods.…”

Section: Introductionmentioning

confidence: 99%

Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

et al. 2020

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For closed-loop controlled DC-AC inverter system, the performance is highly influenced by load variations and online current measurement. Any variation in the load will introduce unwanted periodic error at the inverter output voltage. In addition, when the current sensor is in faulty condition, the current measurement will be imprecise and the designed feedback control law will be ineffective. In this paper, a sensorless continuous sliding mode control (SMC) scheme has been proposed to address these issues. The chattering effect due to the discontinuous switching nature of SMC has been attenuated by designing a novel boundary-based saturation function where the selection of the thickness of boundary is dependent to the PWM signal generation of the inverter. In order to remove the dependency on the current sensor, a particle swarm optimization(PSO) based modified observer is proposed to estimate the inductor current in which the observer gains are optimized using PSO by reducing the estimation errors cost function. The proposed dynamic smooth SMC algorithm has been simulated in MATLAB Simulink environment for 0.2-kVA DC-AC inverter and the results exhibit rapid dynamic response with a steady-state error of 0.4V peak-to-peak voltage under linear and nonlinear load perturbations. The total harmonic distortion (THD) is also reduced to 0.20% and 1.14% for linear and non-linear loads, respectively.

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Observer-Based Capacitor Current Sensorless Control Applied to a Single-Phase Inverter System With Seamless Transfer

Cited by 29 publications

References 21 publications

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

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

Superheated steam temperature system of thermal power control engineering based on neural network local multi-model prediction

Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

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