A Comparison Between the GPI and PID Controllers for the Stabilization of a DC–DC “Buck” Converter: A Field Programmable Gate Array Implementation

Zurita-Bustamante, Eric William; Linares-Flores, J.; Guzmán‐Ramírez, Enrique; Sira‐Ramírez, Hebertt

doi:10.1109/tie.2011.2123857

Cited by 86 publications

(46 citation statements)

References 25 publications

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“…They are detailed as follows: (a) development a real hovercraft laboratory prototype and (b) synthesization of the proposed robust controller in a real platform. In this case, several algorithms based on the GPI philosophy have been carried out in electronic applications such as the control of Buck converters (Zurita-Bustamante et al, 2011) or the control of single-phase multilevel cascade inverters (Juárez-Abad et al, 2014). Taking into consideration the slow dynamics of the hovercraft vessel model in comparison with the electronic applications described above, the synthesization of the robust controller designed on a field programmable gate array (FPGA) (Juárez-Abad et al, 2014;Morales et al, 2014aMorales et al, , 2013Zurita-Bustamante et al, 2011) or low-cost architectures based on reconfigurable logic (Morales et al, 2014b) does not present any problem regarding computation time requirements.…”

Section: Discussionmentioning

confidence: 99%

Linear active disturbance rejection control of the hovercraft vessel model

2015

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a b s t r a c tA linearizing robust dynamic output feedback control scheme is proposed for earth coordinate position variables trajectory tracking tasks in a hovercraft vessel model. The controller design is carried out using only position and orientation measurements. A highly simplified model obtained from flatness considerations is proposed which vastly simplifies the controller design task. Only the order of integration of the input-to-flat output subsystems, along with the associated input matrix gain, is retained in the simplified model. All the unknown additive nonlinearities and exogenous perturbations are lumped into an absolutely bounded, unstructured, vector of time signals whose components may be locally on-line estimated by means of a high gain Generalized Proportional Integral (GPI) observer. GPI observers are the dual counterpart of GPI controllers providing accurate simultaneous estimation of each flat output associated phase variables and of the exogenous and endogenous perturbation inputs. These observers exhibit remarkably convenient self-updating internal models of the unknown disturbance input vector components. These two key pieces of on-line information are used in the proposed feedback controller to conform an active disturbance rejection, or disturbance accommodation, control scheme. Simulation results validate the effectiveness of the proposed design method.

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Section: Discussionmentioning

confidence: 99%

Linear active disturbance rejection control of the hovercraft vessel model

2015

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“…If we consider a corresponding feed-forward approach to compensate for disturbances, we can improve the performance of closed-loop systems. Note that a GPI observer can estimate unknown time-varying disturbances [37], [38]. To achieve a good performance in speed command tracking and disturbance rejection, we introduce the GPI observer technique for the PMSM servo system.…”

Section: A Design Of a Gpi Observermentioning

confidence: 99%

Continuous Sliding Mode Control for Permanent Magnet Synchronous Motor Speed Regulation Systems Under Time-Varying Disturbances

Wang¹,

Li²,

Yang³

et al. 2016

Journal of Power Electronics

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This article explores the speed regulation problem of permanent magnet synchronous motor (PMSM) systems subjected to unknown time-varying disturbances. A continuous sliding mode control (CSMC) technique is introduced for the speed loop to enhance the robustness of PMSM systems and eliminate the chattering phenomenon caused by high-frequency switch function in the conventional control law. However, the high control gain of the CSMC law in the presence of strong disturbances leads to large steady-state speed fluctuations for PMSM systems. In many application fields, PMSM systems are affected by time-varying disturbances instead of constant disturbances. For example, electric bicycles are usually affected by changing environmental disturbances, including wind speeds, road conditions, etc. These disturbances may be in the form of constant, ramp, and parabolic disturbances. Hence, a generalized proportional integral (GPI) observer is employed to estimate these types of disturbances. Then, the disturbance estimation method and the aforementioned CSMC method are combined to establish a composite sliding mode control method called the CSMC+GPI method for the speed loop of PMSM systems. Contrary to the conventional sliding mode control technique, the proposed method completely eliminates the chattering phenomenon caused by the switching function in the conventional control law. Moreover, a small control gain for the CSMC+GPI method is chosen by feed-forwarding estimated values to the speed controller. Hence, the steady-state speed fluctuations are small. The effectiveness of the proposed control scheme is verified by simulation and experimental result.

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“…In turn the DC output voltage can be fed into DC motors, as for instance in the case of actuators, mechatronic devices and pumps [1][2][3]. Nonlinear control approaches for DC-DC converters connected to DC motors have been presented in [4][5][6][7][8]. In particular global linearization approaches and flatness-based control of such systems have been presented in [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Control of DC–DC Converter and DC Motor Dynamics Using Differential Flatness Theory

et al. 2016

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The article proposes a method for nonlinear control of the dynamical system that is formed by a DC-DC converter and a DC motor, making use of differential flatness theory. First it is proven that the aforementioned system is differentially flat which means that all its state vector elements and its control inputs can be expressed as differential functions of primary state variables which are defined to be the system's flat outputs. By exploiting the differential flatness properties of the model its transformation to a linearized canonical (Brunovsky) form becomes possible. For the latter description of the system one can design a stabilizing feedback controller. Moreover, estimation of the nonmeasurable state vector elements of the system is achieved by applying a new nonlinear Filtering method which is known as Derivative-free nonlinear Kalman Filter. This filter consists of the Kalman Filter recursion applied on the linearized equivalent model of the system and of an inverse transformation that is based on differential flatness theory and which enables to obtain estimates of the initial nonlinear state-space model. Moreover, to compensate for parametric uncertainties and external perturbations the filter is redesigned as a disturbance observer. By estimating the perturbation inputs that affect the joint model of the DC-DC converter and of the DC motor their compensation becomes possible. The efficiency of the proposed control scheme is further confirmed through simulation experiments.

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A Comparison Between the GPI and PID Controllers for the Stabilization of a DC–DC “Buck” Converter: A Field Programmable Gate Array Implementation

Cited by 86 publications

References 25 publications

Linear active disturbance rejection control of the hovercraft vessel model

Linear active disturbance rejection control of the hovercraft vessel model

Continuous Sliding Mode Control for Permanent Magnet Synchronous Motor Speed Regulation Systems Under Time-Varying Disturbances

Control of DC–DC Converter and DC Motor Dynamics Using Differential Flatness Theory

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