- Electric Motor Design and Analysis
- Sensorless Control of Electric Motors
- Magnetic Bearings and Levitation Dynamics
- Magnetic Properties and Applications
- Multilevel Inverters and Converters
- Induction Heating and Inverter Technology
- Iterative Learning Control Systems
- Silicon Carbide Semiconductor Technologies
- Electromagnetic Compatibility and Noise Suppression
- Evolutionary Algorithms and Applications
- Adaptive Control of Nonlinear Systems
- Fuzzy Logic and Control Systems
- Advanced DC-DC Converters
- Power Quality and Harmonics
- Metaheuristic Optimization Algorithms Research
- Machine Fault Diagnosis Techniques
- Wind Turbine Control Systems
- Neural Networks and Applications
- Non-Destructive Testing Techniques
- Piezoelectric Actuators and Control
- Advanced Control Systems Optimization
- Wind Energy Research and Development
- Advanced Multi-Objective Optimization Algorithms
- Advanced Control Systems Design
- Electrostatic Discharge in Electronics
Polytechnic University of Bari
2016-2025
Instituto Politécnico Nacional
2002-2015
Polytechnic University of Turin
2013
University of Bari Aldo Moro
2000-2010
This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other evolutionary algorithms, does not process a population of solutions but its statistic description which evolves similarly to all algorithms. In addition, cDE employs mutation and crossover typical (DE) thus reproducing search logic. Unlike in survivor selection scheme DE can be straightforwardly encoded. One important feature proposed algorithm is capability efficiently performing an optimization despite...
The automated design of synchronous reluctance (SyR) motors based on multiobjective genetic optimization and finite-element analysis is considered in this paper. Three types barrier shapes are considered, all described by an effective limited set input variables. three solutions investigated to establish which the geometries can give best torque output also one represents compromise between performance computational time. presented paper shows that SyR designed automatically a good be...
A novel algorithm for fundamental frequency and harmonic components detection is presented in this paper. The technique based on a real-time implementation of discrete Fourier transform, it allows fast accurate estimation harmonics distorted signal with variable frequency. It suitable active shunt filter applications, when tracking the reference required to achieve good control performance. main application aircraft ac power systems, where can be either fixed 400 Hz its actual value...
The automatic design of synchronous reluctance (SyR) machines is considered in this paper by means finite-element analysis and multiobjective optimization algorithms (MOOAs). research focuses on the rotor geometry, which key aspect SyR machine design. In particular, performance three popular MOOAs analyzed compared terms quality final computational time. A procedure to minimize burden optimized process introduced applied a three-layer five layer rotor. Two prototypes experimentally...
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution populations is emulated by processing probability vector specific update rules. This paper considers implementation cGAs in microcontroller-based control platforms. particular, to overcome some problems related binary encoding schemes adopted most this also proposes new variant based real-valued solution coding. The presented...
This paper presents a technique for accurately identifying and compensating the inverter nonlinear voltage errors that deteriorate performance of sensorless field-oriented controlled drives at low speed. The model is more accurate than standard signum-based models are common in literature, self-identification method based on feedback signal closed-loop flux observer dc current steady-state conditions. can be identified directly by digital controller drive startup with no extra measures other...
The sensorless position control of permanent-magnet (PM) synchronous motors can be successfully implemented by superimposing a high-frequency voltage signal on the voltage. In this paper, estimation is obtained means sinusoidal injected along estimated -axis. Several methods proposed in literature obtain tracking zero condition current component. We propose new approach that also exploits -axis component and allows working with reduced amplitude, thus reducing noise additional losses. main...
Phase-locked loop (PLL) algorithms are commonly used to track sinusoidal components in currents and voltage signals three-phase power systems. Despite the simplicity of those algorithms, problems arise when have variable frequency or amplitude, polluted with harmonic content measurement noise, as can be found aircraft ac systems where fundamental vary range 360-900 Hz. To improve quality phase estimates such systems, a novel PLL scheme based on real-time implementation discrete Fourier...
Direct drives with linear motors have been recently attracting the attention of both industry and academia. The main peculiarity these systems is lack mechanical reduction transmission devices, which makes influence some uncertain electromechanical phenomena (e.g., friction, cogging forces, etc.) load disturbances much more significant than in case conventional rotary actuators. This paper describes a control system for tubular synchronous motor based on sliding-mode (SMC)...
The sensorless position control of permanent-magnet motors is successfully implemented by superimposing a high-frequency voltage signal on the reference or adding current to reference. former approach usually preferred because its simplicity, although latter one may allow better performance. This paper presents new algorithm for low-saliency synchronous based sinusoidal injection into <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</i> -axis....
The automatic design of Synchronous Reluctance machines is proposed, based on Multi-Objective Optimization and Finite-Element Analysis. An original description the rotor geometry in simple terms three parameters per flux barrier formalized tested with finite elements experiments. results obtained proposed are compared to ones previously applying same procedure simpler geometries. Plus, a state art rotor, designed no restrictions geometric degrees freedom also used as further benchmark for...
In modern electrical drives, all regulators are implemented in discrete-time domain. The design of the current controller continuous time and its following discretization is a common effective procedure as long ratio between fundamental frequency sampling remains sufficiently small. If this condition violated, performance closed-loop system becomes increasingly poor or even unstable. Literature has proposed some strategies to controllers directly domain, but these methods can be applied only...
This paper deals with the design of sliding mode controllers (SMC) for a vector-controlled impressed-voltage induction motor drive. A suitable nonlinear SMCs permits one to achieve performances cascaded control using only loop. Chattering phenomena as well steady state error are avoided. is obtained by boundary layers together torque observer compensate external disturbances. The validity practical implementation has been verified through computer simulations and experiments. new criteria...
This paper describes the design of a new fuzzy logic-based navigation algorithm for autonomous robots. effectively achieves correct environment modeling and noisy uncertain sensory data processing on low-cost hardware equipment. A hierarchical control strategy is presented in which three different reactive behaviors are fused single law by means supervisor guaranteeing robot safety task accomplishment. Due to inherent transparency logic, proposed computationally light, easily reconfigurable,...
An innovative variable-structure-systems-based approach for online training of neural network (NN) controllers as applied to the speed control electric drives is presented. The proposed learning algorithm establishes an inner sliding motion in terms controller parameters, leading command error towards zero. outer concerns controlled drive, state tracking vector which simultaneously forced origin phase space. equivalence between two motions demonstrated. In order evaluate performance scheme...
The design optimization of IPM motors for wide speed ranges is considered in this paper by means a FEA-based multi-objective genetic algorithm (MOGA). minimum number simulations pursued the fast evaluation four goal functions: maximum torque, torque ripple, flux weakening capability and rotor harmonic losses. focused on design, that most controversial aspect due to difficult modeling dominated magnetic saturation. Three original results are presented: elimination higher order ripple...
This paper analyzes the impact of numbers stator slots and rotor layers on optimal design synchronous reluctance (SyR) machines. Eighteen SyR machine examples have been designed by means a multi-objective optimization algorithm finite element analysis so to maximize torque minimize ripple. Twelve, twenty-four forty-eight slot stators are considered, associated rotors with four-poles one six flux barriers per pole. The results comparative show that high beneficial for maximizing power factor,...
The rotor design of Synchronous Reluctance machines is considered in this paper, based on a multi-objective, genetic optimization algorithm and finite element analysis. Three different types barrier geometries are compared, all described by limited set input variables. aim the paper to investigate relationships between obtainable performance types. two questions underlying analysis are: which geometry that can potentially give machine with highest torque volume ratio? Which best compromise...