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In this work is presented predictive speed controller for induction motor. It is proposed to divide the control process into two parts: coarse adjustment and regulation in the area of steady state. This allows to reduce the pulsations in obtained waveforms in steady state.
This paper deals with the method of elimination of the DC offset impact on the speed estimation system which uses sine/cosine incremental position encoder. The impact of the DC offset in the input signals to the PLL-based speed estimation is shown. The problem can be solved by means of the highpass filter which should be implemented in the angle domain instead of time domain. The simulation and experimental...
This paper presents a model-based method to increase the dynamics of a current control loop within field-oriented control. The improvement is achieved by compensating for time delays within the control loop. The presented method is verified both through simulations using MATLAB/Simulink and with measurements using a rapid-control prototyping platform.
This paper presents a sensorless starting procedure for a soft starter driven IE4 direct on line permanent magnet synchronous motor (PMSM). First, the initial position of the rotor is determined using a pulsating current space vector. Subsequently, the motor is started from standstill by the soft starter from a known position. The following firing sequences are calculated on the basis of the flux...
In this paper a dual DC/DC/AC inverter with discrete non-stationary state feedback controller is presented. Neural network based control algorithm is proposed to optimal control of PMSM drive. The considered converter topology and designed control structure with discrete state feedback controllers significantly reduces the harmonics content in phase currents.
The current controller sets the base of the dynamical performance for drives running flux oriented control. In the literature, can be found different approaches used for the classical linear dq-current control. This paper has as aim a theoretical and practical benchmark of the diverse types of linear controllers suitable for drive application. There are evaluated different properties like: dynamical...
The presented DTC-3V-3L method was designed to ensure the high performance of PMSM drive. Using the predictive approach the algorithm minimizes torque ripples, ensures constant switching frequency and DC link voltage balancing. Moreover, it also provides the fastest dynamic torque response, similar to the fastest non-linear methods.
A method for sensorless control of induction machines is proposed to estimate the field angle error using continuous excitation signals. Effects, which are present during a misalignment between the real world and model value, are used to estimate the error and correct it. Main flux oriented machine model equations, which take into account the magnetic anisotropies of the machine, are used to show...
In this paper a control scheme for a PMSM drive that keeps the torque ripple within predefined limits is presented. The electromagnetic torque is assumed to be proportional to i1q, which is measured by using Sigma-Delta Analog to Digital Converters (ΣΔ-ADCs) with a very high sampling rate, so the actual ripple of the torque can be obtained and controlled in an enhanced way. The measurement results...
This paper describes fuzzy cooperative coevolution adaptive control which uses a common genetic algorithm to obtain the coefficients of the adaptive fuzzy regulator. The plant under consideration is multi-mass drive system with elastic couplings. A comparison between systems with fuzzy control and conventional PID-control is considered. It is shown that fuzzy method allows to suppress torsional vibrations...
The article presents results of parametric identification of mechanical part of drive system with permanent magnet synchronous motor by means of heuristic method of Particle Swarm Optimization (PSO). The assumed mechanical part has a complex structure, consisting of two-mass connected by an elastic joint with backlash. The optimization process was designed to find model parameters that assure the...
This paper presents an anisotropy-based position estimation approach taking advantage of saturation effects in permanent magnet synchronous machines (PMSM). Due to magnetic anisotropies of the electrical machine, current responses to high-frequency voltage excitations contain rotor position information. Therefore, the rotor position can be estimated by means of these current responses. The relation...
This paper presents the study on gate driver circuitries implemented to drive power devices in series connection with the objective to minimize the conducted EMI perturbations and as well to improve the switching speed of the power devices. More specifically, the propagation paths of parasitic currents generated under very high switching speed are studied in different configurations trying to reduce...
This paper presents results of simulation research of off-line trained, feedforward neural-network-based state estimator. The investigated system is the mechanical part of electrical drive characterized by elastic coupling with working machine, modeled as dual-mass system. The aim of the research was to find a set of neural networks structures giving useful and repeatable results of the estimation...
In this paper, stability of regenerative brake control system is studied, focusing on the difference in the feeder line circuit model on factory test conditions and actual load conditions. The factory test is always carried out to determine the gain of regenerative brake control system because there are restrictions in the on-track test. However, the influence on the difference of the circuit configurations...
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