Finite Control Set Model Predictive Speed Control of a DC Motor

Šlapák, Viktor; Kyslan, Karol; Lacko, Milan; Fedák, Viliam; Ďurovský, František

doi:10.1155/2016/9571972

Cited by 17 publications

(7 citation statements)

References 19 publications

(25 reference statements)

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“…In some of the applications, where it is nonlinear [58] based on Coulomb friction Hammerstein nonlinear system approach has been used to handle the bidirectional movement of the DC motor. The renowned estimation technique Kalman filter [59] had been used to estimate the load torque and speed when susceptible to the noise when DC motor and its drives Review of Medical Cyber Physical System based Infusion Pump-perception on control strategy are used for different electrical and electronic applications [60]. In this paper, dynamic speed tracking and steadystate error reduction have been addressed, and the model predictive controller has been implemented.…”

Section: Control Strategies For Electric Motorsmentioning

confidence: 99%

Review of Medical Cyber Physical System based Infusion Pump-perception on control strategy

Alamelu¹,

Mythili²

2018

EAI Endorsed Transactions on Energy Web

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The revolutionary change in recent technologies has dominated the Medical field. Huge medical devices are deployed in hospitals and in-home environment. The innovations of smart medical devices are prominent which can be used in the fully automated and semi-automated environment. For several decades, numerous medical devices are designed and utilized effectively. These devices are designed for the past few years, manufactured in micro and nanotechnologies with smart sensing techniques. Such devices are network-enabled and integrated into the cyber world in physical means, leading to a medical cyber physical system. The design, working, and optimal control of smart medical devices are essential. In this paper, the emphasis on the review of infusion pump control mechanism with essential parameters such as drug delivery, flow rate, pump control has been considered.

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Section: Control Strategies For Electric Motorsmentioning

confidence: 99%

Review of Medical Cyber Physical System based Infusion Pump-perception on control strategy

Alamelu¹,

Mythili²

2018

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

show abstract

“…Common feature of designed control systems is speed control loop based on FDC while satisfying the vector control conditions [22]. Rotor speed obeys (3), (7) and the differential equation describing the closed loop dynamics has therefore linear firstorder dynamics (31), where is the prescribed time constant anḋis the demanded rotor speed:…”

Section: Forced Dynamics Speed Control Loopmentioning

confidence: 99%

Energy Near‐Optimal Control Strategies for Industrial and Traction Drives with a.c. Motors

Vittek

Butko

Ftorek

et al. 2017

Mathematical Problems in Engineering

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The main contribution of this paper is a new rest-to-rest position control system for use with electric drives employing a.c. motors that is near-optimal with respect to combined electrical and frictional energy waste minimization. The friction has constant, linear, and quadratic components with respect to the rotor speed. The closeness to optimality is assessed by simulation, comparing the energy loss of the new control system with that predicted by computed optimal controls. The application of the near-optimal control system is rendered straightforward by using a symmetrical trapezoidal speed-time profile. This is provided by an energy saving reference position generator whose output is faithfully followed by means of a feedback control law based on forced dynamics control yielding prescribed closed loop dynamics, together with a matched zero dynamic lag precompensator. For load torque consisting of constant, linear, and quadratic components also maneuver time is optimized if it can be chosen arbitrary. Two case studies, one applied to position control of rotational drive and second one applied to train movement, confirm the possibilities of achieving energy savings.

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“…At present, motor speed control methods include PID, sliding mode, internal model, and adaptive, predictive, and active disturbance suppression control [1][2][3][4][5][6][7][8]. A predictive control strategy combining DC-DC converter with PMDC machine is proposed in [9]; it was proposed to quantitatively adjust the power consumption of the energy consumption resistor by adjusting the on-off duty ratio of the energy consumption circuit, so as to realize speed control in downhill process in [10]. A fuzzy logic controller was proposed to provide accurate steering angle and driving speed to control robot speed in [11].…”

Section: Introductionmentioning

confidence: 99%

Research on Optimal Control Strategy for Unpowered Downslope of High‐Voltage Inspection Robot Based on Motor Temperature Rise in Complexity Microgrid Networks

et al. 2021

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In order to avoid the motor damage caused by excessive temperature rise of armature winding of the walking motor during braking of high-voltage inspection robot in complexity microgrid networks, an unpowered downhill speed and energy recovery optimization control strategy is proposed based on temperature rise characteristics of the walking motor. Firstly, the thermal equivalent circuit model of the walking motor is established, and the mapping relationship between the armature winding temperature of the walking motor and ambient temperature is solved; secondly, the influence of armature winding temperature on unpowered downhill speed and energy recovery control strategy of robot is analyzed; thirdly, according to the temperature of front and rear wheel walking motors and the temperature difference between them, the optimal control strategy of unpowered downhill speed and energy recovery of robot is put forward; fourthly, by adjusting the duty ratio u of the energy consumption speed control system and the front wheel feedback brake distribution factor λ , the temperature difference between the front and rear wheel walking motors is reduced. Through the experimental analysis on the simulated line, it is verified that the unpowered downhill speed and energy recovery optimization control method based on the temperature rise characteristics of the walking motor can effectively reduce the temperature difference between the front and rear wheels.

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Finite Control Set Model Predictive Speed Control of a DC Motor

Cited by 17 publications

References 19 publications

Review of Medical Cyber Physical System based Infusion Pump-perception on control strategy

Review of Medical Cyber Physical System based Infusion Pump-perception on control strategy

Energy Near‐Optimal Control Strategies for Industrial and Traction Drives with a.c. Motors

Research on Optimal Control Strategy for Unpowered Downslope of High‐Voltage Inspection Robot Based on Motor Temperature Rise in Complexity Microgrid Networks

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