Adaptive Quasi-Sliding Mode Control for Permanent Magnet DC Motor

Hoyos, Fredy E.; Rincón, Alejandro; Taborda, John Alexander; Toro, Nicolás; Angulo, Fabiola

doi:10.1155/2013/693685

Cited by 19 publications

(22 citation statements)

References 23 publications

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“…In ref. [20], an adaptive ZAD-FPIC strategy is formulated for motor speed control. The system involves a buck power converter, a permanent magnet DC motor (PMDC motor) [21], and a dSPACE platform; the load torque and the friction torque are considered unknown so that they lead to an uncertain parameter that is estimated by means of a least mean squares (LMS) mechanism, which is formulated and tested on the real system.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters

2019

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This paper presents the experimental implementation of a buck converter with quasi-sliding mode control combined with a loss estimator function. An online loss estimator is developed to estimate, in real time, the parasitic resistances of the converter and variations of the resistance in the load. The estimated loss resistance and the resistance of the load are embedded, in real time, into the model equations of the controller using Zero Average Dynamics and Fixed Point Induction Control techniques (ZAD-FPIC) to improve the control robustness to resistive parameter variations. Details of the experimental setup are presented to show developed electrical and electronic circuits, and experimental techniques are described to ensure the successful digital implementation of closed-loop control of the buck power converter. The proper shielding of electrical wiring in power electronics allows improvement to the quality of the measures by removing noise induced by electromagnetic interference. A trigger signal is used to implement the Pulse-Width Modulation (PWM) with centered pulse and to synchronize the sampling of analogical signals from the buck converter. Such synchronization allows the use of a lower sampling frequency and ensures the measurements at the right instant in time. Experimental results are in good agreement with numerical simulations, showing the effectiveness of the control approach.

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Section: Introductionmentioning

confidence: 99%

Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters

2019

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“…In accordance with the aforementioned, different approaches have been proposed for a DC motor fed by a DC/DC Buck converter when the unidirectional rotation of the motor shaft is considered [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. This unidirectional rotation emerges because the Buck converter only delivers unipolar voltages.…”

Section: Discussion Of Related Work and Contributionmentioning

confidence: 99%

New “Full-Bridge Buck Inverter–DC Motor” System: Steady-State and Dynamic Analysis and Experimental Validation

et al. 2019

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A mathematical model of a new "full-bridge Buck inverter-DC motor" system is developed and experimentally validated. First, using circuit theory and the mathematical model of a DC motor, the dynamic behavior of the system under study is deduced. Later, the steady-state, stability, controllability, and flatness properties of the deduced model are described. The flatness property, associated with the mathematical model, is then exploited so that all system variables and the input can be differentially parameterized in terms of the flat output, which is determined by the angular velocity. Then, when a desired trajectory is proposed for the flat output, the input signal is calculated offline and is introduced into the system. In consequence, the validation of the mathematical model for constant and time-varying duty cycles is possible. Such a validation of this mathematical model is tackled from two directions: (1) by circuit simulation through the SimPowerSystems toolbox of Matlab-Simulink and (2) via a prototype of the system built by using Matlab-Simulink and a DS1104 board. The good similarities between the circuit simulation and the experimental results allow satisfactorily validating the mathematical model.

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“…To avoid such oscillations, some conditions are imposed on the control law and quantization limits [20]. The fixed point induction control (FPIC) technique allows the stabilization of unstable orbits, as presented in [25], and also allows the estimation of unknown and variable parameters in power converters [26,27]. The minimum requirements for the digital controller parameters are determined in [17], which include the sampling time and the resolution in the measured variables.…”

Section: Introductionmentioning

confidence: 99%

“…From this study, the bifurcation diagrams calculated numerically in the design stage agree quantitatively with those obtained in the experimental test. In works such as [25][26][27]32], the integration of ZAD and FPIC techniques show good results in variable regulation, using buck converters with resistive and motor loads. The ZAD-FPIC technique has been applied in second-order systems, however there are no bifurcation analyses for the FPIC technique.…”

Section: Introductionmentioning

confidence: 99%

Application of Zero Average Dynamics and Fixed Point Induction Control Techniques to Control the Speed of a DC Motor with a Buck Converter

2020

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Several technological applications require well-designed control systems to induce a desired speed in direct current (DC) motors. Some controllers present saturation in the duty cycle, which generates variable switching frequency and subharmonics. The zero average dynamics and fixed point induction control (ZAD-FPIC) techniques have been shown to reduce these problems; however, little research has been done for DC motors, considering fixed switching frequency, quantization effects, and delays. Therefore, this paper presents the speed control of a DC motor by using a buck converter controlled with the ZAD-FPIC techniques. A fourth-order, non-linear mathematical model is used to describe the system dynamics, which combines electrical and electromechanical physical models. The dynamic response and non-linear system dynamics are studied for different scenarios where the control parameters are changed. Results show that the speed of the motor is successfully controlled when using ZAD-FPIC, with a non-saturated duty cycle presenting fixed switching frequency. Simulation and experimental tests show that the controlled system presents a good performance for different quantization levels, which makes it robust to the resolution for the measurement and type of sensor.

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Adaptive Quasi-Sliding Mode Control for Permanent Magnet DC Motor

Cited by 19 publications

References 23 publications

Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters

Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters

New “Full-Bridge Buck Inverter–DC Motor” System: Steady-State and Dynamic Analysis and Experimental Validation

Application of Zero Average Dynamics and Fixed Point Induction Control Techniques to Control the Speed of a DC Motor with a Buck Converter

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