A5051909869- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
- Silicon Carbide Semiconductor Technologies
- Advanced DC-DC Converters
- Magnetic Properties and Applications
- Artificial Immune Systems Applications
- Energy Load and Power Forecasting
- Metallurgy and Material Forming
- Adaptive Control of Nonlinear Systems
- Advanced Machining and Optimization Techniques
- Gene Regulatory Network Analysis
- Fault Detection and Control Systems
- Advanced Manufacturing and Logistics Optimization
- Bacillus and Francisella bacterial research
- Engineering Education and Pedagogy
- Experimental Learning in Engineering
- Magnetic Bearings and Levitation Dynamics
McMaster University
2018-2024
ORCID
2021
Embry–Riddle Aeronautical University
2016-2018
Universidad Autónoma de Occidente
2012-2013
This article presents the application of model predictive control (MPC) in high-performance drives. A wide variety machines have been considered: Induction machines, synchronous linear motors, switched reluctance and multiphase machines. The these has done by introducing minor easy-to-understand modifications to basic concept, showing high flexibility simplicity strategy. second part is dedicated performance comparison MPC with classical techniques such as field-oriented direct torque...
Switched Reluctance Motors (SRMs) have become a popular alternative to replace permanent magnet machines in high-performance emerging applications such as automotive and aerospace. However, its market attractiveness is limited by the difficulty control given nonlinear behaviour. Model predictive (MPC) promising solution deal with this problem per notable features complex systems, nonlinearities constraints. Still, SRMs are at an early stage compared other drives. This paper aims discuss...
<div class="section abstract"><div class="htmlview paragraph">Due to the high-power density, high torque rating, low ripples and fault-tolerant capability, Dual Three-Phase Permanent Magnet Synchronous Motor (DTP-PMSM) has recently emerged as a feasible alternative for automotive applications. However, it comes with its own challenge of increased losses at due use 6-phase inverter or two three-phase inverters. The DTP-PMSM drive model can be designed function in operating modes,...
In this paper, a virtual-flux finite control set model predictive (FCS-MPC) strategy of switched reluctance motor (SRM) drives is proposed. This technique uses flux linkage-tracking algorithm to indirectly the phase current. The based on an estimated virtual obtained from static characteristics machine. A cost function used evaluate switching state that produces minimum error. graph for states limitation also proposed reduce number commutations and computational burden. Simulation results...
Due to the non-linear characteristics of switched reluctance machines (SRMs), performance a current control technique varies drastically depending on motor, especially those with different power ratings. This paper evaluates multiple techniques for two SRM's-a low-power, four-phase SRM and high-power, three-phase - observes controller at levels. The simulated include hysteresis, fixed gain proportional-integral (PI), combination hysteresis PI, predictive control. results prove that machine...
This paper proposes an adaptive voltage regulation (VR) flux-weakening (FW) control technique for dual three-phase (DTP) permanent magnet synchronous machine (PMSM) drives. Firstly, a small-signal model is developed to demonstrate the need of gain adaptation in order maintain controller bandwidth. Moreover, serves as tuning tool FW proportional-integral (PI) controller. Then, proposed implemented and tested on 100 kW DTP-PMSM drive. Simulation results improved drive performance at high...
<div class="section abstract"><div class="htmlview paragraph">Dual three-phase (DTP) permanent magnet synchronous machines (PMSMs) are becoming attractive for electric vehicle (EV) propulsion systems in the automotive industry. Flux-weakening (FW) control technique is important to ensure DTP-PMSMs operating high-speed range. This paper proposes an adaptive FW algorithm better performance and stability variant speeds. A small-signal model developed obtain gain a constant...
This paper presents the design, development, and implementation of a bioinspired fault diagnosis scheme applied to cold gas–based spacecraft prototype. The proposed framework relies on artificial immune system metaphor with goal monitoring health by detecting subsystem upset conditions such as actuator malfunctions. A nonlinear dynamic inversion baseline controller adaptation capabilities has been developed implemented for attitude control spacecraft. performance health-monitoring is...
<div class="section abstract"><div class="htmlview paragraph">Multiphase machines continue to increase in popularity high power applications due their proven benefits compared three-phase counterparts. However, with the increased phase number and, therefore, of degrees freedom, complexity both modelling and control strategies significantly increases. This paper proposes a dynamic method for six-phase interior permanent magnet using vector space decomposition transformation, which...
This paper analyzes the effects of voltage harmonic distortion on losses and efficiency energy efficient induction motors (EEIM). Preliminary studies show that when fed with distorted voltages new EEIM have a greater impact than standard motors. Therefore, in this work more precise steady state equivalent circuit is used to quantify accurately waveform motor. The model validated using two both 5.5kW, 50Hz, four poles; one class IE3 Premium other lE1 efficiency. analysis results may lead...
This paper presents in-flight testing results of the implementation a biomimetic architecture for health monitoring an Unmanned Aerial Vehicle (UAV) quadrotor. A non-linear dynamic inversion (NLDI) based controller has been developed and implemented stability UAV. The system includes autopilot, sensor fusion solution control algorithms that are fully integrated using low cost research testbed fast prototyping implementation. laws were preliminary designed tested in simulation their...
This paper presents a methodology for quantify both induction motor efficiency and its power factor under non-sinusoidal conditions. The uses an equivalent electric circuit, whose equations are solved with simulation using MATLAB applying superposition principle to calculate operation harmonic frequencies. is applied on 3 HP circuit parameters determined experimentally. Results show that does not vary the distortion, while decreases when order increases.
In this paper, a new method to reduce the steady state torque tracking error of finite control set model predictive for switched reluctance motor drives is proposed. The considered as one main shortcomings conventional Finite Control Set Model Predictive (FCS-MPC). This can happen due parameter uncertainties or when multiple objectives are achieved by single function with weighting factors. SRM, action obtained multi-objective cost designed track reference while minimizing phase currents...
<div class="section abstract"><div class="htmlview paragraph">This paper presents a Differential Flatness-Based Control (FBC) approach for the current control of Switched Reluctance Machines (SRMs), potential candidate automotive industry. The main challenges in SRM methods stem from motor nonlinearity. In electrical drives, FBC has been applied doubly-fed induction generators, permanent magnet motors, and magnet-assisted synchronous reluctance motors. Among few papers that have...
This paper proposes a predictive torque control strategy based on look-up tables with improved delay compensation to enhance prediction capabilities. The or static maps contain the flux linkage and characteristics of machine, which provides higher accuracy compared approximated analytical models. is enhanced by including Kalman filter stage. algorithm validated through simulations experiments using 5.5 kW, 12/8 SRM. results evidenced sharing capabilities respect conventional methods other...
This paper describes a learning methodology in undergraduate engineering courses for electrical engineering, based on hands-on model class, this methodology. work with students and Ph.D professor showed every academic period more interested the topic to belong group, which started five has been growing semester almost 100%, from other careers.
This paper proposes a simplified convex optimization-based sensorless scheme for interior permanent magnet synchronous motor (IPMSM)drives. The computational burden of the existing method is significantly reduced by single variable cost function, which based on machine voltage equations in stationary reference frame. With less computation, proposed provides good performance characteristics similar to one, e.g., dynamic speed response and smooth transition between low high-speed ranges....
In this paper, a virtual-flux finite control set model predictive (MPC) strategy for dual three-phase interior permanent magnet synchronous motors (DTP-IPMSM) is proposed. The technique based on the conventional current control, but it maps measured variables into virtual- flux domain, thus simplifying prediction stage. uses flux-based cost function to track estimated reference flux. tracking cancels out guarantee an improved tracking, and thus, better torque ripple. proposed validated...