Robust Time-Delay Control for the DC–DC Boost Converter

Wang, Yaxiong; Yu, Duck-Hyun; Kim, Young‐Bae

doi:10.1109/tie.2013.2290764

Cited by 122 publications

(54 citation statements)

References 23 publications

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“…Some early work require to decouple unknown-input estimation from state estimation [30], while most later studies do not, in which an ordinary state observer [31] can still work properly under the situation that the unknown inputs are canceled by corresponding control inputs. Using a reference model [32] directly together with an estimation function is able to do a similar job. Among these studies, other limitations arise.…”

Section: Introductionmentioning

confidence: 99%

“…Among these studies, other limitations arise. Some methods require the derivatives of measured outputs [19], [32], which make the estimation sensitive to noises or modeling errors; Some rank conditions apply to unknown inputs in the work of [33], [34], and [35]; The complexity of parameter selection rises due to the less restrictive conditions on unknown inputs [20], [22], [35]- [37]; In [38], [39] the state observer gain is constrained by the estimation scheme of unknown inputs, and limited design freedom is given to unknown-input estimation as well. As a counterpart of design in the state space, the disturbance observer (DOB) synthesized in the frequency domain relies on a customized low-pass filter and the inversion of plant dynamics [40]- [43].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

Tang

Chen

et al. 2016

IEEE Trans. Ind. Electron.

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Abstract-A novel actuator controller is proposed in this paper for active-truss-based morphing wings (ATBMWs). An ATBMW is a new type of smart structure capable of smooth and continuous profile change, and has the potential to provide better stealth and aerodynamic performance over airfoils with discrete control surfaces. However, the sophisticated ATBMW framework and large amount of highly interacted actuators make it difficult to obtain the overall rigid-body dynamics of the wing for controller design and inconvenient to tune controllers on board. The focus of this study is thus to solve the aforementioned problems by developing an actuator-level control scheme that does not rely on the wing rigid-body dynamics and on-board tuning. The linear-quadratic-Gaussian (LQG) controller is adopted for actuator trajectory tracking, and a novel unknown-input estimator (UIE) is devised to handle un-modeled dynamics. By integrating the UIE with the LQG algorithm, a new tracking controller with enhanced tolerance to uncertainties is constructed. It is shown in simulations and experiments on an ATBMW prototype that the proposed UIE-integrated LQG controller can be designed simply using the known actuator dynamics without on-board tuning, and superior trajectory tracking of actuators was observed despite the presence of un-modeled dynamics and exogenous disturbances.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

Tang

Chen

et al. 2016

IEEE Trans. Ind. Electron.

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“…It has been applied to many plants: a permanent-magnet synchronous motor [11], a DC-DC boost converter [12], shape memory alloy actuators [13,14], and chaotic systems [15,16]. Particularly, it has been also implemented for robot manipulators to perform trajectory tracking control, force control, impedance control, and dual arm cooperative control [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Control of Robot Manipulators Using Time-Delay Estimation and Fuzzy Logic Systems

Bae¹,

Jin²,

Suh³

et al. 2017

Journal of Electrical Engineering and Technology

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-A highly accurate model-free controller is proposed for trajectory tracking control of robot manipulators. The proposed controller incorporates time-delay estimation (TDE) to estimate and cancel continuous nonlinearities of robot dynamics, and exploits fuzzy logic systems to suppress the effect of the TDE error, which is due to discontinuous nonlinearities such as friction. To this end, integral sliding mode is defined using desired error dynamics, and a Mamdani-type fuzzy inference system is constructed. As a result, the proposed controller achieves the desired error dynamics well. Implementation of the proposed controller is easy because the design of the controller is intuitive and straightforward, and calculations of the complex robot dynamics are not required. The tracking performance of the proposed controller is verified experimentally using a 3-degree of freedom PUMAtype robot manipulator.

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“…In the literature some intelligent controllers are also proposed [14,17], which have the problem of iteration-based results. Furthermore, the time delay control strategies have demonstrated better robustness and disturbance rejection properties [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Adaptive sliding mode with time delay control based on convolutions for power flow reference tracking using a VSC-HVDC system

Hamache¹,

Bensidhoum²,

Chekireb³

2017

Turk J Elec Eng & Comp Sci

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This paper deals with the design of an adaptive sliding mode with a time delay control based on convolutions (ASMTDCC) approach for a voltage source converter (VSC) high voltage direct current (HVDC) transmission system for power flow reference tracking over a wide range of operating conditions considering parameter variations and external disturbances. For this purpose, the model of a VSC-HVDC transmission system connecting two asynchronous electrical grids is developed. The problem of designing an ASMTDCC feedback scheme, via a control strategy, is addressed seeking a better performance. For ensuring robust behavior and reducing chattering, the ASMTDCC scheme is realized based on time delay approximation and sliding mode techniques. Theoretical developments and results are illustrated through simulation results.

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Robust Time-Delay Control for the DC–DC Boost Converter

Cited by 122 publications

References 23 publications

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings

Control of Robot Manipulators Using Time-Delay Estimation and Fuzzy Logic Systems

Adaptive sliding mode with time delay control based on convolutions for power flow reference tracking using a VSC-HVDC system

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