Application of model predictive control for reduced torque ripple in orthopaedic drilling using permanent magnet synchronous motor drive

Ramya, Lekshmanan N; Sivaprakasam, A.

doi:10.1007/s00202-020-00968-x

Cited by 8 publications

(5 citation statements)

References 37 publications

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“…The use of predictive current control is a very interesting option because of its simplicity and low cost-effective technique. Moreover, the predictive current control (PCC) allows controlling several industrial systems taking into account nonlinearities and uncertainties, which greatly reduces the controller complexity 48 , 49 . In this paper, the PCC is implemented to ensure a unity power factor and low THD by controlling the input current regardless of the changes in the treated system parameters.…”

Section: Proposed Control Designmentioning

confidence: 99%

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

Babes,

Latrèche,

Bouafassa

et al. 2024

Sci Rep

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This paper presents an innovative control scheme designed to significantly enhance the power factor of AC/DC boost rectifiers by integrating an adaptive neuro-fuzzy inference system (ANFIS) with predictive current control. The innovative control strategy addresses key challenges in power quality and energy efficiency, demonstrating exceptional performance under diverse operating conditions. Through rigorous simulation, the proposed system achieves precise input current shaping, resulting in a remarkably low total harmonic distortion (THD) of 3.5%, which is well below the IEEE-519 standard threshold of 5%. Moreover, the power factor reaches an outstanding 0.990, indicating highly efficient energy utilization and near-unity power factor operation. To validate the theoretical findings, a 500 W laboratory prototype was implemented using the dSPACE ds1104 digital controller. Steady-state analysis reveals sinusoidal input currents with minimal THD and a power factor approaching unity, thereby enhancing grid stability and energy efficiency. Transient response tests further demonstrate the system’s robustness against load and voltage fluctuations, maintaining output voltage stability within an 18 V overshoot and a 20 V undershoot during load changes, and achieving rapid response times as low as 0.2 s. Comparative evaluations against conventional methods underscore the superiority of the proposed control strategy in terms of both performance and implementation simplicity. By harnessing the strengths of ANFIS-based voltage regulation and predictive current control, this scheme offers a robust solution to power quality issues in AC/DC boost rectifiers, promising substantial energy savings and improved grid stability. The results affirm the potential of the proposed system to set new benchmarks in power factor correction technology.

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Section: Proposed Control Designmentioning

confidence: 99%

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

Babes,

Latrèche,

Bouafassa

et al. 2024

Sci Rep

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show abstract

“…Predictive current control is an interesting alternative due to its simplicity, good dynamic behavior, and flexibility. Moreover, the predictive current control (PCC) allows controlling several different system variables considering nonlinearities and constraints, greatly reducing the controller complexity [17]. This paper implements the PCC to ensure a high power factor and reduced THD by controlling the input current regardless of the changes in the treated system parameters.…”

Section: Inner Current Control Loopmentioning

confidence: 99%

Efficient DSP-Based Real-Time Implementation of Anfis Regulator for Single-Phase Power Factor Corrector

LATRECHE,

BOUAFASSA,

BABES

et al. 2024

RRST-EE

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As a widely used technology, active power factor corrector (A-PFC) circuits face many control challenges, such as nonlinearity and uncertainties. With more and more power electrical appliances that are connected to the utility grid, the A-PFC is for the task of improving the power quality (PQ) to meet the requirement of the international standards, and this results in great challenges for keeping the total harmonic distortion (THD) as long as a power factor in the desired ranges. To this end, this paper focuses on the simulation and real-time implementation of a combined adaptive neural-fuzzy inference system (ANFIS) and predictive current controller for a single-phase PFC rectifier. The proposed control method has a simple, low-cost structure for better response and robustness. The performance of the proposed control approach was evaluated in real-time based on the dSPACE 1104 digital signal processor for different reference and load conditions. The results obtained from simulation and experimental tests validate the superiority of the proposed approach by evidencing a unity power factor, lower THD, fast dynamic response, and robustness against fast load and output voltage variations.

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“…Where ,, (10) With these voltages, the reference voltage as the vector can be seen in Fig. 7 and can be calculated as, Where n is the sector number Depending upon this, the switching time can be written as in table 2 and the voltages can be gotten.…”

Section: Fig (6): Inverter Hexagon and Sectormentioning

confidence: 99%

“…Some researches use the fuzzy logic controller to control in the hysteresis band to make the switching frequency of the inverter is constant this leads to some improvement in the ripples and reduces the harmonics as in [9] but these methods depend upon the learning and experiment. Also, predictive current controller is used to improve the performance of PMSM [10]. Another method to adapt the hysteresis band using fuzzy logic can be seen in [11].…”

Section: -Introductionmentioning

confidence: 99%

Department of Electrical Power and Machine Engineering, Faculty of Engineering,

سليمان¹

2021

AIJST

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This paper aims to reduce the torque ripples in the motor torque, reduce the total harmonics distortion in the motor currents and improve the dynamic response of the permanent magnet synchronous motor. To carry out this study, a modification model was used and compared to conventional model. The main control method used here is a field-oriented control. It was used to generate two decoupled currents control. With help of rotor position, these currents changing into three-phase reference currents. These reference currents were compared to the actual three-phase motor currents. The errors among these currents are introduced to hysteresis current controller to get pulses. These pulses used to drive the voltage source inverter which produces three-phase voltage to drive the motor under study. This technique suffers from some problems as high torque ripples, high total harmonics distortion, the dynamic response isn’t very high because at the beginning of the error and the deviation of the output signal becomes large. This is a conventional model. To overcome these problems, the hysteresis current controller was replaced by gain impedance. The output of this gain is the three-phase voltages. These voltages generate pulses through space vector modulation to drive the inverter to get suitable voltage for the permanent magnet synchronous motor. This modification has decreased the torque ripples and the THD in comparison to the conventional controller. To more improvement in the motor performance, one PI torque current controller and load torque estimator were used to damp the overshooting and decrease the rise time.

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Application of model predictive control for reduced torque ripple in orthopaedic drilling using permanent magnet synchronous motor drive

Cited by 8 publications

References 37 publications

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

Efficient DSP-Based Real-Time Implementation of Anfis Regulator for Single-Phase Power Factor Corrector

Department of Electrical Power and Machine Engineering, Faculty of Engineering,

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