DS1104 Digital Signal Processor Research Articles

REAL TIME IMPLEMENTATION OF NONLINEAR PI CONTROLLER FOR THE INDUCTION MACHINE CONTROL

In this paper a nonlinear PI (NPI) controller are proposed and compared with the conventional linear fixed-gain PI controller to improve the overall performance of the system by incorporating a sector-bounded nonlinear gain in cascade with a conventional PI control architecture. The proposed controller has implemented for a 1.5-kW three-Phase Induction Motor are completely carried out using a dSPACE DS1104 digital signal processor (DSP) based real-time data acquisition control (DAC) system, and MATLAB/Simulink environment. Digital experimental results are presented to show the improvement in performance of the proposed algorithm.

Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

<p>In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. </p>

MTPA- and FW-Based Robust Nonlinear Speed Control of IPMSM Drive Using Lyapunov Stability Criterion

This paper presents a robust nonlinear control technique for a wide-speed-range operation of interior permanent magnet synchronous motor (IPMSM) based on the use of maximum torque per ampere (MTPA) and flux-weakening (FW) controls. The global asymptotic stability of the drive is demonstrated by Lyapunov stability criterion in conjuncture with Barbalat's lemma. For the proposed nonlinear controller, the MTPA and FW schemes are used to control the d -axis stator current below and above the rated speed, respectively. Control laws are developed based on an adaptive backstepping technique to ensure robust system stability. The system nonlinearities are also accommodated through the online estimation of critical parameters. The control and adaptive backstepping laws have been successfully implemented in a MATLAB/Simulink simulation environment. Simulation results indicate excellent speed response and parametric variation insensitivity. The complete drive system is implemented using the peripheral component interconnect (PCI)-based DS1104 digital signal processor (DSP) board for a 3.7-kW laboratory IPMSM. Both experimental and simulation results have demonstrated excellent drive performance, with an extended-speed-range operation and rejection of load disturbance.

Design and Performance Analysis of a PWM dc–dc Buck Converter Using PI–Lead Compensator

This paper presents a proportional–integral–lead (PI–lead) compensator design based on frequency domain specifications to regulate the output voltage of pulse width modulated dc–dc buck converter. In this design, the parameters of PI–lead compensator are tuned in two parts such that the PI section improves the steady-state response, whereas lead section improves the transient response of the uncompensated system. Further, the detailed performance analysis is carried out in order to obtain optimal value of phase margin and gain crossover frequency for dc–dc buck converter. Finally, this control strategy is verified through MATLAB/Simulink simulation and is implemented on an experimental setup using dSPACE DS1104 digital signal processor. The experimental results validate the simulation results and indicate the robustness of the compensator under wide variations in input voltage, load current and desired output voltage.

Testing of a Wavelet-Packet-Transform-Based Differential Protection for Resistance-Grounded Three-Phase Transformers

This paper presents an extension of real-time tests of a wavelet-packet-transform-based technique for the differential protection of three-phase power transformers. The proposed technique is implemented using a DS1102 digital signal processor board and tested on two different three-phase power transformers with neutral resistance grounded. Different magnetizing inrush and internal fault currents are investigated with current transformer (CT) saturation for different loading conditions, including capacitive loads. The results show a complete independence from transformer parameters, load types, grounding method, or CT saturation. Furthermore, the proposed technique has high speed, good accuracy, small required memory, and reliable responses with reduced computational burden. In all cases of the investigated internal faults, the proposed algorithm is capable of identifying the fault and generating a trip signal in less than a quarter cycle based on a 60-Hz system.

DSP-based Voltage Controller for an Isolated Asynchronous Generator Feeding Induction Motor Loads

This article deals with the hardware implementation of a static-compensator-based voltage regulator for an isolated asynchronous generator supplying induction motor loads. The asynchronous generator is driven by a constant speed prime mover to feed a set of induction motors and unbalanced loads. The static-compensator-based voltage regulator is implemented using a dSPACE DS1104 digital signal processor (DSP) controller. Extensive tests are conducted to demonstrate the capability of the controller to feed the dynamic loads and the ability to function as a voltage regulator, a load balancer, and a harmonic eliminator.

Real-time implementation of IRFOC for Single-Phase Induction Motor drive using dSpace DS 1104 control board

Single Phase induction Motors (SPIMs) are one of the widely used motors in the world. This explains the interest accorded by researchers on the improvement of the quality and performances of these motors. The availability of low-cost static converters makes possible the economic use of energy and improvement of the quality of the electromagnetic torque in the SPIM. Nowadays, Indirect Rotor-Field-Oriented Control (IRFOC) techniques brought on a renaissance in modern high-performance control of PWM inverter fed SPIM. In this paper, an IRFOC system is proposed for SPIMs including a relatively simple and effective decoupling scheme. This is achieved by introducing two new decoupling signals to the system. However, model asymmetry in SPIMs causes extra coupling between two stator windings. To use the field orientation control, the asymmetry must be eliminated by using an appropriate variable changing. A computer simulation of the IRFOC for Single-Phase Induction Motor drive is carried out to test the validity of the proposed method at nominal and zero speed. The design, analysis, and implementation for a 1.1-kW Single-Phase Induction Motor are completely carried out using a dSPACE DS1104 digital signal processor (DSP) based real-time data acquisition control (DAC) system, and MATLAB/Simulink environment. Digital simulation and experimental results are presented to show the improvement in performance of the proposed algorithm.

A New Wavelet-based Speed Controller for Induction Motor Drives

This article presents a novel speed controller based on multi-resolution decomposition analysis of the discrete wavelet transform for vector-controlled induction motor drives. The field-oriented control principle is used to decouple the flux and torque components of the induction motor dynamics. In the proposed controller, the discrete wavelet transform is used to decompose the speed error between the actual and command speeds at various scales. The control signal is generated using the wavelet-transformed coefficients of speed error of different scales. It has been found that these coefficients can represent the cumulative effect of motor drive uncertainties such as parameter variations, measurement noise, frictional variation, and external torque disturbances. The performance of this controller is evaluated in both simulation and experiments. The complete vector-control scheme incorporating the proposed controller is successfully implemented in real time using the ds1102 digital signal processor board (dSPACE, GmbH, Paderborn, Germany) for the laboratory 1-hp induction motor. The experimental results validate the robustness and, hence, justify the applicability of the proposed controller for the induction motor drive to be used in high-performance drive applications. In order to prove the superiority of the proposed controller, a comparison between the proposed and the conventional proportional-integral and proportional-integral-derivative controller-based systems is made at different dynamic operating conditions.

Fuzzy neural network IP controller for robust position control of induction motor drive

In this paper, a fuzzy neural network (FNN) controller which emulates the conventional IP controller is proposed for a vector controlled induction motor drive. A Sugeno type FNN is adopted for the proposed control system and the fuzzy neural network is so designed that the FNN controller behaves an robust-nonlinear IP controller. The proposed FNN-IP controller is used for the position control of induction motor drive and the performance and the robustness of the control system is tested for nonlinear motor loads and parameter variations. The FNN-IP controller is trained off-line using experimental data’s and then the trained controller is used for experimental studies. DS1104 digital signal processor control card is used to implement the control algorithm. Experimental results showing the effectiveness of the proposed control system are presented for parameter and load variations of the motor.

Implementation of a New Wavelet Controller for Interior Permanent-Magnet Motor Drives

This paper presents the real-time implementation of a novel wavelet-based multiresolution proportional-integral-derivative (PID) controller for the accurate speed control of the interior permanent-magnet (IPM) synchronous motor drives under system uncertainties. In the proposed wavelet-based PID controller, the discrete wavelet transform is used to decompose the error between actual and command speeds into different frequency components at various scales. The wavelet-transformed coefficients of different scales, which represent many underlying phenomena such as process dynamics, measurement noise, and effects of external disturbances, are scaled by their respective gains and, then, are added together to generate the control signal. The performance of this newly devised wavelet controller is evaluated in both simulation and experiments. The complete vector control scheme incorporating the proposed wavelet controller is successfully implemented in real time using the ds1102 digital signal processor board for the laboratory 1-hp IPM motor. In order to prove the superiority of the proposed controller over conventional controllers, a comparison between the proposed and fixed-gain controller-based systems is made at different dynamic operating conditions.

Wavelet Transform Based Protection of Stator Faults in Synchronous Generators

This article presents a novel wavelet power based algorithm for protection of stator windings of a three-phase synchronous generator. The proposed algorithm is based on the comparison of the instantaneous power of the wavelet packet transform coefficients of voltage and current samples of different faulted and normal conditions acquired from the terminals of the generator. The wavelet powers of the second level high frequency details of fault currents and voltages using a selected mother wavelet show distinctive features between different faulted and normal conditions. The proposed wavelet power based detection algorithm is developed and implemented in real-time using the ds1102 digital signal processor board. The protection technique is tested on-line on a laboratory 1.6 kW three-phase synchronous generator. Different types of stator faults at generator terminals for testing the technique in real-time, faults were identified promptly and properly, and the trip signal was initiated almost at the instant or within one cycle of fault occurrence.

DSP-Based Real-Time Implementation of a Hybrid $H \infty$ Adaptive Fuzzy Tracking Controller for Servo-Motor Drives

An embedded hybrid Hinfin adaptive fuzzy control structure is implemented for trajectory tracking control of a brushless servo drive system. The control structure employs a fuzzy logic controller incorporating an Hinfin tracking controller via an acceleration feedback signal. The fuzzy logic controller is equipped with an adaptive-law-based Lyapunov synthesis approach to compensate for system uncertainty and random changes in the external load acting on the drive system. The proposed control structure is experimentally verified on a state-of-the-art dSPACE DS1104 digital signal processor (DSP)-based data acquisition and control system in a laboratory 1-hp brushless drive system. The controllers are first designed in Simulink. Then, the Real-Time Workshop is used to automatically generate optimized C code for real-time applications. Afterward, the interface between MATLAB/Simulink and the dSPACE DS 1104 allows the control algorithm to run on the hardware processor of the DSP. The result is a powerful testbed for the rapid design and implementation of the hybrid tracking controllers for a wide variety of operating conditions. Experimental results are provided to verify the effectiveness of the proposed controller. Considerable improvement in the performance generated by the hybrid controller is compared with the traditional Hinfin controller

Real-Time Testing of a WPT-Based Protection Algorithm for Three-Phase Power Transformers

This paper presents real-time implementation and testing of a wavelet-packet-transform-based algorithm for power transformer protection. The proposed algorithm is implemented using a DS1102 digital signal processor board and tested on two different three-phase power transformers. Different magnetizing inrush, normal (through-fault) and internal fault currents are investigated for different loading conditions. The results show a complete independence from both the transformer parameters and current transformer saturation. In addition, the proposed algorithm has reduced computational burden, high speed, high accuracy, small required memory, and high reliability. In all cases of the investigated internal faults, the proposed algorithm is capable of identifying the fault and generating a trip signal in less than a quarter cycle based on a 60-Hz system.

The dynamic characteristics of an isolated self-excited induction generator driven by a wind turbine

This paper presents the effect of magnetizing inductance on self-excitation. It also describes the loading analysis of an isolated induction generator, and how the operating frequency and generated voltage are affected by the change in operating slip value for regulated and unregulated rotor speed. Wind-powered self-excited induction generators have an input wind which is not controllable, but they can be set to operate within a given variation of speed. The experimental and simulated results for a dynamic generated voltage, frequency, and power are presented. The dynamic electromagnetic torque produced by the induction generator is also given. A dSPACE DS1102 digital signal processor card is used for data acquisition and for control of the driven speed.