1,721,025 research outputs found
A sensorless PMSM drive with inductance estimation based on FPGA
No full textA new algorithm for position and speed
estimation in permanent magnet synchronous motors is
presented, which is based on the high frequency signal
injection and uses an algebraic approach. Motor
inductances are estimated by simple mathematical
relationships and motor position and speed are tracked
using a phase locked loop technique. The estimated machine
inductances values are utilized, in real time mode, as
parameters, in the field oriented control of the permanent
magnet synchronous motor for an improved robustness. A
sensorless drive, based on the algorithm presented, has been
tested on a low cost field programmable gate array (FPGA)
platform. A simple communication protocol, between host
PC and FPGA board, has been designed and implemented,
for algorithm parameters real time update and state
observation
Self-commissioning of direct drive systems
No full textIn this paper a self-commissioning procedure for
direct-drive with elastic coupling based on Particle Swarm
Optimization (PSO) and PI controller is presented. The solution
is oriented to industrial plants which are usually based on DSP
with low computational ability. Initially a model-based
identification procedure is carried out to find the system
parameters. Subsequently the controller parameters are
optimized using a time-domain performance criterion.
Experimental results are also presented to validate the work
Kalman filter estimation method for battery cell parameters in Reconfigurable Cascaded Multilevel Converter
No full textPSO-Based Self-Commissioning of Electrical Motor Drives
No full textA new method for electrical motor drives self-commissioning, with elastic couplings and backlash, is presented. The heuristic algorithm Particle Swarm Optimization (PSO) has been used for the identification and optimization of parameters. Initially, a model-based identification procedure is performed to evaluate the parameters of the system. Then the parameters of a proportional integral derivative (PID) based controller are optimized by using a time-domain performance criterion. Experimental results, obtained by testing three different laboratory permanent magnet synchronous motor (PMSM) drives prototypes, are also presented to confirm the validity of the proposed approach
Direct AC charging of EV Reconfigurable Cascaded Multilevel Converter
No full textThis paper presents the Reconfigurable Cascaded Multilevel Converter (RCMC), employed for EV powertrain applications, in charging configuration. The converter is directly connected to an AC three-phase power system and the battery modules are charged by dynamically controlling the reconfigurable battery modules. The intrinsic structure of the converter gives the advantage to implement different charging algorithms, according to customizable requirements, without the need of extra middle power stages. Two charging methods are proposed and explained in detail: the first one prioritizes the SOC balancing between the battery modules, the second one the power losses reduction. Finally, a charging time estimation is computed for the RCMC and for a classic battery pack, assuming to increase their initial state of charge of 20%. The computation results show that the Reconfigurable Cascaded Multilevel Converter requires 40% less time than the battery pack
A Switched Predictive Controller for an Electrical Powertrain System With Backlash
No full textIn this paper a switched Model Predictive Control
strategy is applied for the speed regulation of a powertrain system
composed of an electrical motor connected to a rotating load
through an elastic shaft and a gear, which introduces backlash.
The system is described through a piecewise-affine model and
a different control law is designed for each system dynamics,
which allows obtaining very simple controllers, suitable for digital
implementation in embedded systems. A switched Kalman filter is
employed in order to estimate the unmeasurable system states.
The proposed control strategy is tested through both simulations
and experiments, and is compared against a traditional
proportional-integral controller
Balanced Charging Algorithm for CHB in an EV Powertrain
Full text linkThe scientific literature acknowledges cascaded H-bridge (CHB) converters as a viable alternative to two-level inverters in electric vehicle (EV) powertrain applications. In the context of an electric vehicle engine connected to a DC charger, this study introduces a state of charge (SOC)-governed method for charging li-ion battery modules using a cascaded H-bridge converter. The key strength of this algorithm lies in its ability to achieve balanced charging of battery modules across all three-phase submodules while simultaneously controlling the DC charger, eliminating the need for an additional intermediate converter. Moreover, the algorithm is highly customizable, allowing adaptation to various configurations involving different numbers of submodules per phase. Simulative and experimental results are presented to demonstrate the effectiveness of the proposed charging algorithm, validating its practical application
Speed Finite Control Set Model Predictive Control of a PMSM fed by Matrix Converter
Full text linkThis paper presents a new speed Finite Control Set Model Predictive Control (FCS-MPC) algorithm which has been applied to a Permanent Magnet Synchronous Motor (PMSM) driven by a Matrix Converter (MC). This method replaces the classical cascaded control scheme with a single control law that controls the motor currents and speed. Additionally, unlike classical MC modulation methods, the method allows direct control of the MC input currents. The performance of the proposed work has been verified by simulation studies and experimental results
Identification of Linear Permanent Magnet Synchronous Motor Parameters and Inverter Non-Linearity Effects
No full textThe paper presents an automatic parameter identification procedure for linear permanent magnet synchronous motors. The electrical parameters of a test machine are estimated by identification tests performed through the inverter. The method employs the available feedback signals that are needed by the control. The stator resistance and machine inductances are estimated through signal injection at standstill. The permanent magnets' flux-linkage identification instead requires carriage movement. Subsequently, the inverter nonlinearity characteristics are identified, again at standstill, through a flux-observer. The proposed self-commissioning process requires only the nameplate data of the machine and no datasheet information of the power electronic devices is needed. The developed techniques can be used both with and without a position sensor. The complete process is automatic and safe to run on its own and requires least intervention from the operator
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