Halit Pastaci

Torque Ripple and EMI Noise Minimization in PMSM Using Active Filter Topology and Field-Oriented Control

This paper proposes an active filter (AF) topology to reduce the torque ripple and harmonic noises in a permanent-magnet synchronous motor. The topology consists of an insulated-gate bipolar transistor AF and two resistance-inductance-capacitance high-pass electromagnetic interference (EMI) noise filters, i.e., one in the primary and the other in the secondary circuit of the coupling 1:1 transformer. The AF is characterized by detecting the harmonics in the motor phase voltages by comparing the measured phase values with the reference voltages generated as a function of the motor parameters and control setting values under field-oriented control. The AF uses the hysteresis voltage control method, while the motor main circuit uses the hysteresis current control method; thus, the two control methods independently work together to provide an almost sinusoidal voltage to the motor windings. The simulation results show total harmonic distortion drops of greater than 13% with EMI noise damping down to ~-10 dB as well as considerable reduction in torque ripple.

A Novel Direct Torque Control Algorithm for IPMSM With Minimum Harmonics and Torque Ripples

This paper describes a new direct torque control algorithm for interior permanent-magnet synchronous motor (IPMSM) to improve the performance of hysteresis direct torque control (HDTC). The algorithm uses the output of two hysteresis controllers used in the traditional HDTC to determine two adjacent active vectors. It also uses the magnitude of the torque error and stator flux linkage position to select the switching time required for the two selected vectors. The selection of the switching time utilizes the suggested table structure, which reduces the complexity of calculation. The simulation results of this proposed algorithm show adequate dynamic torque performance and considerable torque ripples reduction as well as lower harmonic current as compared to HDTC

Using passive filters to minimize torque pulsations and noises in surface PMSM derived field oriented control

Abstract This paper describes a new dissipative passive filter system to minimize torque pulsation and current harmonic noises in surface PMSM when derived with field oriented control algorithm. The passive filter system consists of complex dissipative filter cascaded by low pass filter. The complex filter has two setting frequency points, one at inverter switching frequency and the other at some average selected frequency point. The filter system is affecting the inverter switching frequency in such a way to decrease stress on the inverter switching elements and reducing the severe of d v /d t on the motor. The filter system uses series dissipative elements to assist in reshaping of the applied voltage waveform in order to provide almost semi-sinusoidal voltage to the motor windings. The simulation results show that the proposed filter system is effectively minimized torque pulsations and harmonic noises in surface PMSM.

Improving the performance of hysteresis direct torque control of IPMSM using active filter topology

This paper describes an active filter topology to improve the performance of hysteresis direct torque control (HDTC) of interior permanent magnet synchronous motor (IPMSM). The filter topology consists of an active filter and two RLC filters, and is connected to the main power circuit through a 1:1 transformer. The active filter is characterized by detecting the harmonics in the motor phase voltages and injecting equivalent harmonic voltages to produce almost sinusoidal voltage waveform to the motor terminals. The active filter uses hysteresis voltage controller while the motor main circuit uses hysteresis direct torque control. The simulation results of this combined control structure show considerable torque ripple reduction in the steady state range and adequate dynamic torque performance as well as considerable harmonic voltage and EMI noise reduction.

Passive filter topology to minimize torque ripples and harmonic noises in IPMSM derived with HDTC

This paper proposes a new passive filter topology to reduce torque ripples and harmonic noises in interior permanent magnet synchronous motor (IPMSM) derived by hysteresis direct control. The filter topology consists of compound dissipative filter cascaded by RLC low pass filter. The compound filter has two tuning frequency setting points, one at inverter switching frequency and the other at some average selected frequency. The filter topology is characterized by affecting inverter switching frequency in a way that decreases stress on switching elements including dv/dt. The filter topology uses series dissipative elements to reshape motor voltage waveform to provide semi-sinusoidal voltage to the motor windings. The simulation results show that the proposed topology effectively reduces torque ripples as well as total harmonic distortion (THD) and electro-magnetic interference (EMI) noise level.

Wavelet-cellular neural network architecture and learning algorithm

Cellular Neural Networks (CNN) provides fast parallel computational capability for image processing applications. The behavior of the CNN is defined by two template matrices. In this paper, adjustment of these template-matrix coefficients have been realized using supervised learning algorithm based on back-propagation technique and wavelet function. Back-propagation algorithm has been modified for dynamic behavior of CNN. Wavelet function is utilized to provide the activation function derivation in this learning algorithm. The supervised learning algorithm is then executed to obtain a compact CNN architecture, called as Wave-CNN. The proposed new learning algorithm and Wave-CNN architecture performance have been tested for 2D image processing applications.

Performance of Transmit Diversity-Turbo Trellis Coded Modulation (TD-TTCM) over Genetically estimated WSSUS Mimo Channels

This paper presents the performance of Transmit Diversity-Turbo Trellis Coded Modulation (TD-TTCM) over Wide Sense Stationary Uncorrelated Scattering (WSSUS), Multiple-lnput-Multiple-Output (ΜΙΜΟ) channels. To achieve high bandwidth efficiency and/or high power efficiency, in TD-TTCM, binary input sequence is passed through a turbo trellis encoder, mapped to 8-PSK and then fed into a new transmit diversity (TD) scheme for high data transmission over wireless fading channels. At the receiver side, the distorted multi-path signals are received by multiple receive antennas. WSSUS ΜΙΜΟ channel parameters and modulated signals are estimated by using Genetic Algorithm (GA) and an iterative combiner, respectively. Then they are taken as an input to Turbo trellis decoder. Here, TD-TTCM and its efficient implementations are discussed and simulation results are presented. Index Terms Turbo Trellis Coded Modulation, WSSUS multi path channels, ΜΙΜΟ channels, Genetic Algorithm

ANN (artificial neural network) drive controller of space vector modulation increasing the performance of the induction motor and ensuring harmonic reduction

Control systems have assumed an increasingly important role in the development and advancement of modern civilization and technology. Practically, every aspect of day-to-day activities is affected by some type of control system. Thus, the space-vector technique has become a popular pulse width technique (PWM) for three-phase inverters in applications such as control of AC induction and permanent-magnet synchronous motors. Digital control structures eliminate drifts, solve complex mathematical equations and by using a programmable processor, they can be easily upgraded for new control algorithms. Digital signal processors (DSPs) go further; their high performance allows them to perform high resolution control and minimize control loop delays. These technological improvements supported by artificial neural networks (ANN) have enabled the development of really effective AC drive control with ever lower power dissipation hardware and ever more accurate control structures.

A direct torque control algorithm for permanent magnet synchronous motors with minimum torque pulsation and reduced electromagnetic interference noise

In this work, a sensorless hysteresis direct torque control (HDTC) algorithm for a permanent magnet synchronous motor is described. The algorithm uses the output of two hysteresis controllers used in the traditional HDTC to determine two adjacent switching vectors per one sample time. The algorithm also uses the magnitude of the torque error, magnitude of the flux error and stator flux position to select the switching time for the selected vectors. The selection of the switching time utilises table structure which reduces the complexity of calculation. The simulation results of this proposed algorithm show adequate dynamic torque performance and considerable torque ripples reduction as well as lower current ripples and reduced electromagnetic interference noise level, as compared with HDTC.

Modeling of switching conditions of a multilevel inverter structure with neural networks in control environment

In recent years, control systems, especially including IGBT-inverter and motor applications have assumed an increasingly important in the development and advancement of modern civilization and technology. The IGBT is a very well-known power device used in the most AC motor control applications. In this paper, the analytical model of the IGBT explained in the literature to match the drive circuit requirements is used with the neural network model of switching conditions for a multilevel inverter structure mathematical model considered with the passing capacitor ones of the device at the same time. This approximation method as a first step for a multilevel inverter model is a type of consideration to prevent switching harmonics and match EMI emissions, in some extent, of motor control systems. Thus, these kinds of applications supported by artificial neural networks (ANN) enable the development of really effective AC drive control with ever lower power dissipation system or hardware and ever more accurate control structures.