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This paper presents proportional integral direct torque control (PIDTC) and fuzzy direct torque control (FDTC) of induction motor (IM) using bus clamped space vector modulation (BCSVM), in which BCSVM always clamps any phase of the inverter for given switching period. Conventionally, the total cost of control scheme significantly increases in real time applications as it needs to sense three voltages,...
In this paper, fuzzy control is introduced to reduce the big flux linkage and torque ripple of traditional PMSM DTC system. Simultaneously, using SVPWM to modulating voltages, using the full-order state observer to replace the integral part of the stator flux linkage observer, those method effectively reduce the dc drift, the integral error accumulation, other shortcomings and modulation precision...
This paper investigates the robust stabilization problem of a permanent magnet synchronous motor (PMSM). A fuzzy sliding mode speed controller with a load torque observer is designed, which can effectively mitigate chattering and guarantee robust speed control of a PMSM under model parameter and load torque variations. Furthermore, the proposed control method considers the disturbance inputs representing...
This paper presents a fuzzy logic based direct torque and flux controlled interior permanent magnet synchronous motor drive using variable structure speed regulation. The closed loop control over stator flux and torque error values are performed by two separate fuzzy logic controllers. A Mamdani type of fuzzy controller is employed to produce the amplitude of the reference voltage vectors, while a...
A simplified model (mono-track vehicle) of ADT is built and a fuzzy dynamic sliding mode control method is used for tracking of the ADT during slippage of its wheels without braking. By regulating the switching surface parameters with fuzzy logic method in real time, the proposed controller can track a reference input wheel slip in a short time. A simulation model generated by MATLAB/Simulink is used...
This paper proposes the use of a 3-level Cascaded H-Bridge Multilevel Inverter (CHMI) topology which results in further torque ripple minimization compared to the 2-level inverter-based Direct Torque Control (DTC). This is due to the increase in the inverter switching voltage vectors that allows minimization of the torque error. This in turn can reduce the Total Harmonic Distortion (THD) of the output...
Direct torque control (DTC) of an induction motor is a relatively simple scheme making rapid computations while requiring no speed sensors. It indicates low sensitivity to parameter variations as well. Accordingly, it has become a promising alternative to the classic vector control methods. This paper reports an experimental implementation of a DTC scheme. As one of the main characteristics of the...
Classical direct torque control (DTC) has advantage in absence of coordinate transform and voltage modulator block. However, it may have disadvantage in controlling electromagnetic torque. DTC produces high ripple in electromagnetic torque as it is not directly controlled. High torque ripple causes vibrations to the motor which may lead to component lose, bearing failure or resonance. Thus, Fuzzy...
This paper presents the fuzzy inference system for selecting the switch states of matrix converter using Direct Torque Control Technique to control the speed of induction motor. In this system, two fuzzy controllers are used. One fuzzy controller estimates the voltage and the other fuzzy controller is used to select the switching vector based on the voltage vector selected by the first fuzzy controller...
This paper presents a novel Adaptive Neural Fuzzy Inference System (ANFIS) based Matrix Converter for speed control of Induction Motor. The proposed ANFIS consists of fuzzy logic controller algorithm with a five layer Artificial Neural Network. The ANFIS system tunes the fuzzy system with hybrid learning algorithm and hence generates the reference voltage. The reference voltage is used to generate...
A novel high performance torque control scheme for switched reluctance motors(SRMs) is proposed based on online fuzzy neural network modeling and adaptive sliding-mode current control. Firstly, an adaptive neural fuzzy inference system(ANFIS) is designed to learn the nonlinear static position-torque-current characteristic and the flux-linkage characteristic of an SRM offline. Then each phase torque...
The coordinate throttle and brake control is one of the main challenges of vehicle longitudinal control. The main difficulties are due to the complexity and uncertainty of the vehicle dynamics, and the necessity of the switching between throttles and brakes. A hierarchical control system is proposed, in which an upper level controller determines the desired speed/acceleration for the controlled vehicle,...
In this work, a duty ratio control scheme for inverter fed six-phase induction machines using the direct torque control method based on a fuzzy inference system is presented. A six-phase induction machine has six windings spatially phase shifted by sixty electrical degrees. An improved steady state torque response has been achieved by using the duty ratio control and it has shown less torque ripple...
On the basis of the Inverse System theory and Fuzzy Sliding Mode Control, this paper studies on Dynamic Decoupling Control of permanent magnet synchronous motor (PMSM), and a new sliding mode control strategy of fuzzy reasoning has been presented. According to the dynamic mathematical model of PMSM's speed regulation system, the existence of its inverse system is proven, and the design method of fuzzy...
A sliding mode controller for permanent magnet synchronous machine (PMSM) is investigated in this paper, in which direct torque control (DTC) concept, variable structure control and space vector modulation (SVM) are integrated to achieve high performance. It features in very low flux and torque ripple, strong robustness and fixed switching frequency. Then, an FNN is investigated to optimize the control...
Direct torque control of induction motor is a kind of high performance of AC drive control method, the method of space vector analysis is the applied, The stator magnetic field, directly on the electromagnetic torque motor stator flux and control. But the change of the stator resistance will affect the performance of direct torque control system when the motor at the low speed This paper describes...
Normal direct torque control have the problem of big electricity and torque ripple in low speed, a new control method was presented in this paper in order to solve this problem. We use discrete duty ratio control technology in high region while intelligent direct torque control is used for the low speed region control. Simulation and experiment result show that new method is more effective than traditional...
In this paper a hybrid controller for wheel slip ratio control has been designed base on a quarter vehicle model. The proposed controller is a combination of a sliding mode controller (SMC) with a fuzzy controller to improve sliding mode controller efficiency. Three different sliding mode controllers are compared and the best one of them combined with a fuzzy controller to increase controller performance...
Among all control methods for induction motor drives, Direct Torque Control (DTC) seems to be particularly interesting being independent of machine rotor parameters and requiring no speed or position sensors. The DTC scheme is characterized by the absence of PI regulators, coordinate transformations, current regulators and PWM signals generators. In spite of its simplicity, DTC allows a good torque...
Aimed at tracking precision of a certain electromotive power loading simulator for actuator with uncertainties and external disturbance, a new design approach of an adaptive fuzzy sliding mode controller (AFSMC) for nonlinear systems with mismatched time-varying uncertainties is presented in this paper. An adaptive parameters adjuster and fuzzy control rules are introduced into the sliding mode controller...
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