In this paper, a new predictive current controller for a permanent magnet synchronous motor (PMSM) considering delays is presented. In a full digital current control system for a PMSM, there are inevitable delays in calculating and applying the inverter output voltages to the motor terminals. A predictive current controller implemented in a full digital system has serious problems such as the oscillation and large overshoot. A discussion of compensation methods to cope with the nonlinearities of the real system is also presented. The proposed current controller has been analyzed, and the experimental results are shown to prove the feasibility and effectiveness of the proposed predictive current controller using a prototype 750 W PMSM servo drive system.

A discrete-time predictive current control for PMSM

This paper presents a novel speed control technique for an interior permanent-magnet synchronous motor (IPMSM) drive based on newly developed adaptive backstepping technique. The proposed stabilizing feedback law for the IPMSM drive is shown to be globally asymptotically stable in the context of Lyapunov theory. The adaptive backstepping technique takes system nonlinearities into account in the control system design stage. The detailed derivations of the control laws have been given for controller design. The complete IPMSM drive incorporating the proposed backstepping control technique has been successfully implemented in real-time using digital signal processor board DS1102 for a laboratory 1-hp motor. The performance of the proposed drive is investigated both in experiment and simulation at different operating conditions. It is found that the proposed control technique provides a good speed tracking performance for the IPMSM drive ensuring the global stability.

Nonlinear control of interior permanent-magnet synchronous motor

The new generation of field programmable gate array (FPGA) technologies enables an embedded processor intellectual property (IP) and an application IP to be integrated into a system-on-a-programmable-chip (SoPC) developing environment. Therefore, this study presents a speed control integrated circuit (IC) for permanent magnet synchronous motor (PMSM) drive under this SoPC environment. First, the mathematic model of PMSM is defined and the vector control used in the current loop of PMSM drive is explained. Then, an adaptive fuzzy controller adopted to cope with the dynamic uncertainty and external load effect in the speed loop of PMSM drive is proposed. After that, an FPGA-based speed control IC is designed to realize the controllers. The proposed speed control IC has two IPs, a Nios II embedded processor IP and an application IP. The Nios II processor is used to develop the adaptive fuzzy controller in software due to the complicated control algorithm and low sampling frequency control (speed control: 2 kHz). The designed application IP is utilized to implement the current vector controller in hardware owing to the requirement for high sampling frequency control (current loop: 16 kHz, pulsewidth modulation circuit: 4-8 MHz) but simple computation. Finally, an experimental system is set up and some experimental results are demonstrated.

FPGA-Based Speed Control IC for PMSM Drive With Adaptive Fuzzy Control

A method for controlling an active power filter using neural networks is presented. Currently, there is an increase of voltage and current harmonics in power systems, caused by nonlinear loads. The active power filters (APFs) are used to compensate the generated harmonics and to correct the load power factor. The proposed control design is a pulse width modulation control (PWM) with two blocks that include neural networks. Adaptive networks estimate the reference compensation currents. On the other hand, a multilayer perceptron feedforward network (trained by a backpropagation algorithm) that works as a hysteresis band comparator is used. Two practical cases with Matlab-Simulink are presented to check the proposed control performance.

http://www.uhu.es/geyer/Revistas_inter/revistas%20internacionales/RI_6.pdf

Active power filter control using neural network technologies

This paper presents for the first time the real-time implementation of an emotional controller for interior permanent magnet synchronous motor (IPMSM) drives. The proposed novel controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of BELBIC is based on emotion processing mechanism in brain, and is essentially an action, which is based on sensory inputs and emotional cues. The emotional learning occurs mainly in the amygdala. The amygdala is mathematically modeled, and the BELBIC controller is introduced. This type of controller is insensitive to noise and variance of the parameters. The controller is successfully implemented in real-time using a digital signal processor board ds1102 for a laboratory 1-hp IPMSM. The results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. The proposed method enables the designer to shape the response in accordance with the multiple objectives of choices.

Implementation of Emotional Controller for Interior Permanent Magnet Synchronous Motor Drive

Current-controlled pulsewidth modulated (PWM) inverters are widely used in high-performance AC drives because they give high dynamic responses in such systems. This paper presents a comparative study of several current controllers. Particular attention is paid to the hysteresis controller and the ramp-comparator controller, due to their simplicity and widespread use. An improved ramp comparator is proposed in which the current error signals are compared to three 120/spl deg/ phase-shifted triangular waveforms. This eliminates the zero voltage vector applied to the inverter and reduces the inherent amplitude and phase errors. Computer simulations are used to compare the performances. Fast Fourier transform technique is used to show the power spectrum of the current waveforms. Experimental results validate the simulated performances.

Analysis of current controllers for voltage-source inverter

In this paper, a complete model is developed to examine the dynamic behaviors of a high-performance vector controlled permanent magnet synchronous motor (PMSM) drive. The d,q axis model of the PMSM is used to simulate and analyze the complete drive system. Based on the vector control principle and current feedback control, the nonlinear dynamic model of the PMSM drive can be simplified and linearized. The resultant linear model is used for studying the dynamic behaviors of the drive system. Moreover, it is used for the design of the speed controller. The entire control scheme of the drive system has been successfully implemented using a high speed DSP. The experimental results have validated the theoretical ones.

Dynamic analysis of a high performance permanent magnet synchronous motor drive

This paper presents a high-levels multilevel inverter (MLI) with a reduced number of the required switches. Forty-nine levels can be obtained in the output voltage from this circuit by usin...

A higher levels multilevel inverter with reduced number of switches

This paper presents digital current control techniques for voltage source inverters. These techniques have gained an increasing importance with the wide spread application of voltage source inverters in high performance applications, such as vector controlled AC drives, AC power supplies and active filters, where fast response and high accuracy are required. A variety of methods have been proposed, which can be classified into three main categories: hysteresis current controller; ramp comparator; and predictive controller. The principles of these methods are described. A computationally efficient digital signal processor (DSPg) based implementation of control techniques is presented. The simulation and laboratory test results showing properties of the different techniques are discussed.

Digital current control techniques for voltage source inverters

This article presents a single-stage three-phase power factor correction (PFC) circuit for AC-to-DC converter using a single-switch boost regulator, leading to improve the input power factor (PF), reducing the input current harmonics and decreasing the number of required active switches. A novel PFC control strategy which is characterised as a simple and low-cost control circuit was adopted, for achieving a good dynamic performance, unity input PF, and minimising the harmonic contents of the input current, at which it can be applied to low/medium power converters. A detailed analytical, simulation and experimental studies were therefore conducted. The effectiveness of the proposed controller algorithm is validated by the simulation results, which were carried out using MATLAB/SIMULINK environment. The proposed system is built and tested in the laboratory using DSP-DS1104 digital control board for an inductive load. The results revealed that the total harmonic distortion in the supply current was v...

A. E. Lashine

Papers

Analysis of current controllers for voltage-source inverter

Dynamic analysis of a high performance permanent magnet synchronous motor drive

A higher levels multilevel inverter with reduced number of switches

Digital current control techniques for voltage source inverters

Single-stage three-phase boost power factor correction circuit for AC-DC converter