dSPACE DS1104 Based Real Time Implementation of Sliding Mode Control of Induction Motor

In industrial electric drive systems, it is common to find objects that need to solve the problem of angular position control, moving the object from one position to another asymptotically with no over-correction and guarantee. calculation of maximum fast impact. This is a multi-target optimization problem with many different solutions. This paper presents a method of constructing a PMSM motor position controller with a variable structure using dSPACE 1104 card. The system consists of a position control loop with a variable structure that is an outer loop and a speed control loop degree is the inner loop. In which, the speed adjustment loop uses adaptive law to compensate for uncertain functions and build a sliding mode observation to estimate load torque, friction and noise. The results of the simulation study were verified on Matlab-Simulink environment and experimented on dSPACE 1104 card to check the correctness of the built controller algorithm. The research results in the paper are the basis for the evaluation and setting up of control algorithms, design of electric drive systems in industry and the military.

Section: Object Model Of the Tracking Drive System Position Control Using Pmsmmentioning

confidence: 99%

“…PMSM motors, and a number of other intelligent and auxiliary measuring devices, [6], [10], [14], [16], [18]- [20].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Development of a position tracking drive system for controlling PMSM motor using dSPACE 1104-based variable structure

Chuyen¹,

Dien²

2021

“…After use the vector control, the induction machine can be represented as a two-phase motor in a stationary reference frame ) , (   and then convert in synchronously dynamic reference frame ) , ( q d by applying Park transformation. The mathematical models of an IM can be described by the following state equations [4], [7], [15], [16].…”

Section: Mathematical Models Ims and Vector Control 21 The Im Modelmentioning

confidence: 99%

MRAS Speed Sensorless Vector Control of Induction Motor Drives using Predictive Adaptation Mechanism

Zair¹,

Hazzab²

2018

Recently of the main topic of research is the sensorless vector control of induction motor drive, In this paper presents the predictive model reference adaptive system (PMRAS) rotor speed observer, This observer developed from the classical MRAS rotor flux scheme associated with predictive adaptation mechanism designed from the Finite Control Set Model Predictive Control (FCS–MPC) by using a search optimization algorithm for calculate the rotor position which guarantee a minimum speed tuning error signal at each sampling period. The effectiveness of the proposed observer proved with the simulation results, show high dynamic performance speed and position observed in sensorless vector control process at low and zero speed as well robustness against motor parameter variation with different loading conditions.

“…The sliding mode controller (SMC) is a non-linear control method that changes the dynamics of a non-linear system which forces the system to slide. The SMC well known by its robustness, high stability and simple implementation [1][2][3][4][5]. One application of SMC is the control of electric drives operated by switching power converters.…”

Section: Introductionmentioning

confidence: 99%

High performance DC/DC buck converter using sliding mode controller

Al-Qaisi¹,

Shehab²,

Al-Gizi³

et al. 2019

This paper investigated the performance of the sliding mode control technique for dc/dc converter using frequency response method. The applications of the step down type switching regulator) buck converter (are found in the devices that use batteries as power source like laptop, cell phones, electric vehicle, and recently, it has also been used in the renewable energy processing, as a maximum output power can be achieved at higher efficiency. In order to optimize the efficiency and for convenient power management, the issues like power on transients, the effect of load variation, Switching and Electromagnetic interference (EMI) losses has to be overcome for which controllers are used. In the proposed method, pulse width modulation (PWM) based on proportional-integral-derivative sliding mode voltage controller (PID SMVC) is designed for a buck converter and the response for appropriate control parameters has been obtained. The system stability has been examined and analyzed from the performance characteristics, which shows clearly that the buck converter controlled by the sliding mode controller has fast dynamic response and it’s very efficient for various applications.