An accurate wide-speed range control method of IPMSM considering resistive voltage drop and magnetic saturation

This paper deals with the high accurate current set-points solution for Interior Permanent-Magnet Synchronous Motors (IPMSM) in wide-speed range applications. Considering voltage and current constraints, the operating regions can be divided into Maximum Torque Per Ampere (MTPA), Maximum Current (MC), Field Weakening (FW) and Maximum Torque Per Voltage (MTPV) regions, which requires to solve different non-linear functions in real time to obtain optimal current set-points. Traditional methods including curve-fitting methods and polynomial approximation (PA) methods are not easy to obtain these solutions, especially involving magnetic saturation problems. In this paper, Newton-Raphson (N-R) algorithm for improving the control accuracy of the current set-points is proposed. Meanwhile, parameters influence including magnetic saturation and resistive voltage drop is fully investigated. Compared with PA method, the proposed method is able to converge to accurate solutions in few numbers of iterations with reduced execution time, which can be easily implemented on an off-the-shelf Digital Signal Processor (DSP). Both simulation results and experimental results on an 8kW IPMSM rig are conducted showing good agreement with the expected results. Index Terms-Cross Saturation, flux-weakening control, interior permanent-magnet synchronous motors (IPMSM), magnetic Saturation, Newton-Raphson (N-R) method, resistive voltage drop

Review of flux-weakening algorithms to extend the speed range in electric vehicle applications with permanent magnet synchronous machines

This article reviews Flux-Weakening (FW) algorithms for Permanent Magnet Synchronous Machines (PMSMs), focusing on the automotive sector, especially in electric and hybrid electric vehicles. In the past few years, the spread of Electric Vehicles (EVs) has improved the technology of electric machines and their control to achieve more compact and competitive solutions. PMSMs are the most widespread electric machines used in EVs thanks to their high-power density and potential operation at constant power range during high speed. Such high speed implies a high electromotive force. An FW technique is mandatory to reduce the electromagnetic flux generated by the electric machine due to the voltage limits of the traction inverter and the energy source. This article classifies and analyses the state-of-the-art FW control strategies by comparing their main advantages and drawbacks. The Vector Current Control (VCC) method that regulates the modulus of the applied voltage is the most common one in the literature thanks to i) its robustness to parameter modification and model unsureness, ii) low computational complexity, and iii) high dynamic response and control stability.Peer ReviewedPostprint (published version

NOVEL MODELING, TESTING AND CONTROL APPROACHES TOWARDS ENERGY EFFICIENCY IMPROVEMENT IN PERMANENT MAGNET SYNCHRONOUS MOTOR AND DRIVE SYSTEMS

This thesis investigates energy efficiency improvement in permanent magnet synchronous motor (PMSM) and drive system to achieve high–performance drive for practical industrial and primarily, traction applications. In achieving improved energy efficiency from a system level, this thesis proposes: (1) Accurate modeling and testing of loss components in PMSM considering inverter harmonics; (2) Easy–to–implement, accurate parameter determination techniques to understand variations in motor parameters due to saturation, cross–saturation and temperature; and (3) Control methodologies to improve system level efficiency considering improved loss models and parameter variations. An improved loss model to incorporate the influence of motor–drive interaction on the motor losses is developed by taking time and space harmonics into account. An improved winding function theory incorporating armature reaction fields due to fundamental and harmonic stator magnetic fields is proposed to calculate the additional harmonic losses in the PMSM. Once all contributing losses in the motor are modelled accurately, an investigation into control variables that affect the losses in the motor and inverter is performed. Three major control variables such as DC link voltage, switching frequency and current angle are chosen and the individual losses in the motor and inverter as well as the system losses are studied under varying control variables and wide operating conditions. Since the proposed loss as well as efficiency modeling involves machine operation dependent parameters, the effects of parameter variation on PMSM due to saturation and temperature variation are investigated. A recursive least square (RLS) based multi–parameter estimation is proposed to identify all the varying parameters of the PMSM to improve the accuracy and validity of the proposed model. The impact of losses on these parameters as well as the correct output torque considering the losses are studied. Based on the proposed loss models, parameter variations and the investigation into control variables, an off–line loss minimization procedure is developed to take into account the effects of parameter variations. The search–based procedure generates optimal current angles at varying operating conditions by considering maximization of system efficiency as the objective. In order to further simplify the consideration of parameter variations in real–time conditions, an on–line loss minimization procedure using DC power measurement and loss models solved on–line using terminal measurements in a PMSM drive is proposed. A gradient descent search–based algorithm is used to calculate the optimal current angle corresponding to maximum system efficiency from the input DC power measurement and output power based on the loss models. During the thesis investigations, the proposed models and control techniques are extensively evaluated on a laboratory PMSM drive system under different speeds, load conditions, and temperatures

Efficiency Optimised Control of Interior Permanent Magnet Machine Drives in Electric Vehicle Applications

The thesis focuses on the losses minimisation of an interior permanent magnet synchronous machine (IPMSM) drive in electric vehicle applications. As drive losses are a combination of the IPMSM losses and the inverter losses, this thesis is mainly divided into two parts: the first part deals with minimising the copper and iron losses of the IPMSM with due account of machine parameters variations and the voltage drop across the stator winding resistance. A new losses minimisation algorithm (LMA) which considers these issues is presented in this research. A comprehensive off-line simulation study based on this LMA is performed in order to evaluate the effect of the parameters variations, resistive voltage drop and iron losses on the IPMSM optimal efficiency operation. It is shown that the parameters variations and resistive voltage drop should be included in the losses minimisation to achieve IPMSM optimal efficiency operation. On the other hand, the minimum losses operation points are not significantly affected by the utilised IPMSM iron losses. The proposed LMA is implemented with non-linear look-up tables (LUTs) using the current commands developed for both constant torque and field weakening operations. Good matching between the simulation and experimental results has been achieved. Reducing the inverter switching losses is the aim of the second part of this PhD research in addition to decrease the common mode voltage (CMV) which may lead to undesirable motor bearing current and electromagnetic interference. A comparative study between up-to-date PWM techniques for CMV reduction with the conventional space vector PWM (SVPWM technique) through simulation studies are presented. Due to its advantages on reducing both the switching losses and CMV of the inverter over all (αβ) voltage hexagon modulation regions, the LuPWM technique is selected for the tested IPMSM drive. Firstly, the scalar implementation of this LuPWM technique using the sine triangle waveform modulation technique on a simulation model of a resistor-inductor (R-L) inductive load is validated with sinusoidal current waveforms. However, implementation of the LuPWM in the closed loop control system of the tested IPMSM drive results in a considerable unexpected distortion in the phase current waveforms especially at low demanded torques. A study on this issue shows that due to the unavoidable ripples on the electrical angle position information leading to the malfunction on determining the (αβ) voltage hexagon sectors, the sector transition point of the LuPWM pulses especially when the state of the LuPWM pulse is changed between On-state and Off-state is strongly affected. Consequently, the current waveforms for a closed-loop drive system under the LuPWM technique during the sectors transition period become seriously distorted. In this thesis, the LuPWM current waveforms distortion problem is proposed to be addressed by modifying the pulse pattern of the traditional LuPWM technique around the (αβ) voltage hexagon sectors transition points associated with significant current waveforms distortion as aforementioned. Under this proposed PWM technique denoted as Mod-LuPWM technique, the switching state of each LuPWM pulse is suggested to be hold for an optimum small period around each transition period. Hence, the adverse effects of the angular ripple and the voltage error will be evened out between the “Turn-On” and “Turn-Off” transitions. Therefore, sinusoidal current waveforms can be obtained for closed-loop drive system under the proposed Mod-LuPWM. In addition, similar to the traditional LuPWM the Mod-LuPWM technique own the ability of on reducing the peak-to-peak common mode voltage value to one sixth of the DC-link voltage compared with the traditional PWMs. On the other hand, due to its switching characteristics, the switching losses of the drive system under the Mod-LuPWM technique are also reduced by one third during the switching period leading to an increase on the switching device life-time. Furthermore, as its implementation does not require any additional hardware, the proposed Mod-LuPWM can be employed for any existing drive system without any increase in the total drive cost. The proposed Mod-LuPWM has been validated with well-matched between simulation and experimental results showing significant current waveform improvements and considerable CMV reduction

Novel flux-weakening strategy considering the saturation effects for electric vehicles

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksThis paper proposes an innovative control algorithm for Permanent Magnet Synchronous Machines (PMSMs), based on a Vector Current Control (VCC) strategy in order to operate in the Flux-Weakening (FW) zone and a Finite Element Analysis (FEA) to consider the cross-saturation effects. The proposed algorithm can be easily adapted either with or without the cross-magnetization outcome. The control algorithm includes the variation of the dq-axis inductances in the optimized problem of calculating the dq-axis currents from the torque setpoint. The simulation results verify the worthiness of the proposal for a 2.5 kW Surface Permanent Magnet Synchronous Machine (SPMSM) direct-drive e-motorbike.Peer ReviewedPostprint (author's final draft

Simplified fuzzy control for flux-weakening speed control of IPMSM drive

This paper presents a simplified fuzzy logic-based speed control scheme of an interior permanent magnet synchronous motor (IPMSM) above the base speed using a flux-weakening method. In this work, nonlinear expressions of d-axis and q-axis currents of the IPMSM have been derived and subsequently incorporated in the control algorithm for the practical purpose in order to implement fuzzy-based flux-weakening strategy to operate the motor above the base speed. The fundamentals of fuzzy logic algorithms as related to motor control applications are also illustrated. A simplified fuzzy speed controller (FLC) for the IPMSM drive has been designed and incorporated in the drive system to maintain high performance standards. The efficacy of the proposed simplified FLC-based IPMSM drive is verified by simulation at various dynamic operating conditions. The simplified FLC is found to be robust and efficient. Laboratory test results of proportional integral (PI) controller-based IPMSM drive have been compared with the simulated results of fuzzy controller-based flux-weakening IPMSM drive system

Healthy and open phase PMaSynRM model based on virtual reluctance concept

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The trend in the industrial power electronics electrical drives is to reach high power density and high efficiency in variable load conditions at cost-effective unwasteful designs. Currently, motors with permanent magnets (such as IPMSM and PMaSynRM) are of great interest because of compactness, low losses, and high torque capability. The performance of a drive system can be predicted with a motor electromagnetic authentic nonlinear model. In this paper, a novel, fast, and precise motor model of PMaSynRM based on virtual reluctance (VR) is proposed. It takes into account the cross saturation, winding distribution, space harmonics, slotting effect, and stepped skewing. The virtual reluctances are identified by finite element analysis (FEA) and implemented in the time-stepping simulation. The flux inversion is not required. The proposed concept is useful in the rotating field or phase quantities (for open phase simulation). The model is also discretized for SiL and HiL applications. Finally, the validation in FEA and experimental setup was performed.This work was supported in part by Spanish Ministry of Economy and Competitiveness under TRA2016-80472-R Research Project and Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya under 2017SGR967.Peer ReviewedPostprint (author's final draft

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

open5openKumar, Piyush; Bottesi, Omar; Calligaro, Sandro; Alberti, Luigi; Petrella, RobertoKumar, Piyush; Bottesi, Omar; Calligaro, Sandro; Alberti, Luigi; Petrella, Robert

Self-adaptive high-frequency injection based sensorless control for interior permanent magnet synchronous motor drives \u2020

Abstract: An auto-tuning and self-adaptation procedure for High Frequency Injection (HFI) based position and speed estimation algorithms in Interior Permanent Magnet Synchronous Motor (IPMSM) drives is proposed in this paper. Analytical developments show that, using conventional approaches, the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point. On-line estimation and adaptation of the small signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme which does not rely on a priori knowledge of the machine parameters. On-line adaptation of Phase-Locked Loop (PLL) gains and of the injected voltage magnitude is also possible, leading to important advantages from the performance, loss and acoustic point of view. The theoretical basis of the method has been introduced first and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a commercial industrial drive and two Interior Permanent Magnet Synchronous Motors, namely a prototype and an off-the-shelf machine. Experimental tests demonstrate the feasibility and effectiveness of the proposal