DSP-Based Sensorless Speed Control of a Permanent Magnet Synchronous Motor using Sliding Mode Current Observer

Askour, Rachid; Idrissi, Badr Bououlid

doi:10.11591/ijpeds.v4i3.5704

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…The scaling factor G E can be calculated (25) by considering the range of speed references from minimum to maximum [200, 200] Hz flux rotation frequency ([6000, 6000] rpm): (25) The calculation of the scaling factor (27), , for the change in speed error involves considering the motor's rated inertia , nominal torque (26), and the sampling time :…”

Section: ) Fuzzificationmentioning

confidence: 99%

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Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Askour

2024

IJEETC

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This paper presents the simulation and experimental results of speed control of a three-phase Permanent Magnet Synchronous Motor (PMSM). The control techniques employed in this work include a Proportional Integral (PI) controller and a Takagi-Sugeno Fuzzy Logic Controller (TS-FLC). While theory and simulation help in predicting the PI controller settings for real drive implementation, further adjustment of the PI controller coefficients is still needed for optimal performance. However, the complexity of PI controller tuning can be overcome by employing a fuzzy logic controller, which is less affected by variations in model parameters and load torque. Two variants of the proposed TS-FLC are implemented: a simple algorithm with 9 rules and a standard algorithm with 49 rules. The drive system utilizes Field Oriented Control (FOC). The control program is developed using the C/C++ programming language and executed on the Texas Instruments TMS320LF28335 Digital Signal Processor (DSP), known for its intelligent motor control capabilities. The drive system evaluation was performed through simulations and experimentation using the MCK28335 professional development kit provided by Technosoft Company. The simulation and experimental results of the proposed controllers are compared under various conditions, including speed reversal and load torque variations.

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Section: ) Fuzzificationmentioning

confidence: 99%

“…Two levels of interruption are programmed [27]:  A high-priority interrupt routine for current control;  A low-priority interrupt routine used for speed control.…”

Section: B Software Organizationmentioning

confidence: 99%

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Askour

2024

IJEETC

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“…Back EMF based techniques are well proven and popular to extract rotor position information from medium to high speeds [4]. Several techniques are proposed based on sliding mode control using back EMF information, however all these techniques works well above minimum speed and fail to extract the rotor position from low speed to standstill [5]- [6].…”

Section: Introductionmentioning

confidence: 99%

Novel Compensation Method to Reduce Rotor Position Estimation Error and Torque Reduction in Signal Injection Based PMSM Drives

Allampalli¹,

Mangsuli²,

Chatterjee³

2017

IJPEDS

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High frequency signal injection techniques are widely used to extract rotor position information from low speed to stand still. Accuracy of estimated rotor position is decreased when stator winding resistance is neglected. Position estimation error also results in output Torque reduction. Parasitic resistance of stator winding causes significant position estimation error and Torque reduction, if not compensated. Signal injection techniques developed in the literature does not provide detailed analysis and compensation methods to improve rotor position estimation of PMS Motors, where stator winding resistance cannot be neglected. This work analyzes the stator winding resistance effect on position estimation accuracy and proposes novel compensation technique to reduce the position estimation error and torque reduction introduced by stator winding resistance. Prototype hardware of a self-sensing PMSM drive is developed. The effectiveness of the proposed method is verified with the MATLAB/Simulink simulations and experimental results on a prototype self-sensing PMSM drive.

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“…This methodology which gives V d , V q directly in terms of a simplified set of switching parameters will be useful in any modelling of inverter based drive, especially in the context of real time control. In order to verify our model output V d , V q using the proposed method, we use the instance of Direct torque control (DTC) of permanent [10], [11]. The rest of the paper is organized as follows: Section 2 gives a simple introduction to Voltage source inverter.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Park’s Transformation for Inverter Fed Drive

Pradeep

Devanathan

2015

IJPEDS

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Park's transformation in the context of ac machine is applied to obtain quadrature voltages for the 3-phase balanced voltages. In the case of a inverter fed drive, one can adopt Park's transformation to directly derive the quadrature voltages in terms simplified functions of switching parameters. This is the main result of the paper which can be applied to model based and predictive control of electrical machines. Simulation results are used to compare the new dq voltage modelling response to conventional directquadrature (dq) axes modelling response in direct torque control -space vector modulation scheme. The proposed model is compact, decreases the computation complexity and time. The model is useful especially in model based control implemented in real time, in terms of a simplified set of switching parameters. Keyword:Direct Corresponding Author:Jayarama Pradeep, Department of Electrical and Electronics Engineering, Sathyabama University, Jeppiaar Nagar, Old Mamallapuram Road, Chennai-600 119. Email: jaya_7pradeep@yahoo.co.in INTRODUCTIONIn three-phase machines usually the behavior and performance are described and analyzed by their voltage and current equations. The coefficients of the differential equations which describes the dynamic behavior of the machines are time varying [1], [2] (except when the rotor is stationary). The mathematical modelling of such a system tends to be complex as the flux linkages, induced voltages, and currents change continuously as the system is in relative motion. For such a complex electrical machine analysis, mathematical transformations [3]-[6] are often used to separate or decouple the variables and to solve equations involving time varying quantities by referring all variables to a common reference frame either stationary or rotating. Among the various methods available for transformation, the well known [8], [9] are: Clarke Transformation and Park Transformation By proper selection of the reference frame, it is possible to simplify considerably the complexity of the mathematical machine model. While these transformations were initially developed for the analysis and simulation of ac machines, they are now extremely useful tools in the digital control of such machines. As digital control techniques are extended to the control of the currents, torque and flux of such machines, the need for compact, accurate machine models is obvious.Generally while modelling a drive, the 3-φ voltages V a , V b , V c are generated through a switching model of the inverter. Using Parks transformation, quadrature voltages V d , V q are then obtained from V a , V b , V c . In this paper, we present a new approach to obtain V d , V q voltages directly in terms of a simplified form of switching parameters of the inverter. This result is made possible by combining the switching equations and the Parks transformation and using some regularity found in the coefficients involved. This methodology which gives V d , V q directly in terms of a simplified set of switching parameters will be useful in ...

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DSP-Based Sensorless Speed Control of a Permanent Magnet Synchronous Motor using Sliding Mode Current Observer

Cited by 7 publications

References 11 publications

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Comparative Investigation of DSP-Based Speed Control of PMSM Using Proportional Integral and Takagi-Sugeno Fuzzy Logic Controller

Novel Compensation Method to Reduce Rotor Position Estimation Error and Torque Reduction in Signal Injection Based PMSM Drives

Adoption of Park’s Transformation for Inverter Fed Drive

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