scholarly journals Improving Performance Parameters of PMBLDC Motor using Fuzzy Sliding Mode Controller

2019 ◽  
Vol 8 (4) ◽  
pp. 3684-3689
Keyword(s):  
High Speed ◽  
Sliding Mode ◽  
Speed Control ◽  
Control Technique ◽  
Pid Controllers ◽  
Motor Drive ◽  
Sliding Mode Controller ◽  
Fuzzy Pid Controller ◽  
Fuzzy Sliding Mode ◽  
Noise Disturbances

This paper proposes an intelligent speed control system for PMBLDC motor drive applications. A fuzzy sliding mode controller is designed for the high speed control of BLDC motors, Efficacy of the system can be improved by FSM controller. Due to the non- linear characteristics of BLDC motors PID controllers are not relevant to it. Noise disturbances, harmonics, and antecedent or consequent uncertainties are difficult to handle by Interval Type2 fuzzy PID controller. Whereas Sliding Mode Controller is most attractive control technique for all type of uncertainties, and improves the performance of the system. An effective Mat-lab / Simulation result presents the attractive performance of proposed system.

A New Backstepping Sliding Control Technique for Hybrid Vehicles Engine Idle Speed Control

2012 ◽  
Vol 466-467 ◽  
pp. 901-906
Author(s):  
Dong Song Luo ◽  
Hai Feng Zhao
Keyword(s):  
Sliding Mode ◽  
Speed Control ◽  
Hybrid Vehicles ◽  
Control Technique ◽  
Simplified Model ◽  
Sliding Mode Controller ◽  
Control Performance ◽  
Idle Speed ◽  
Idle Speed Control ◽  
Simulation Results

In the paper, the idle speed control problem for hybrid vehicles engine is investigated. The mathematics equations about dynamic characteristic of engine’s primary subsystems are presented in the view of the physical characters of engine. A new back stepping sliding mode controller was designed based on the simplified model of engine, and the simulation results show the great improvement of engine control performance, especially to overcome the disturbance.

scholarly journals Speed Control of a Doubly-Fed Induction Motor (DFIM) Based on Fuzzy Sliding Mode Controller

2017 ◽  
Vol 10 (3) ◽  
pp. 20-29
Author(s):  
Loukal Keltoum ◽  
◽  
Benalia Leila ◽  
Bouguerra Abderrahmen ◽  
◽  
...  
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Speed Control ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode ◽  
Doubly Fed

scholarly journals Intelligent fuzzy sliding mode controller based on FPGA for the speed control of a BLDC motor

2020 ◽  
Vol 11 (1) ◽  
pp. 477
Author(s):  
Arun Prasad K.M. ◽  
Usha Nair
Keyword(s):  
High Efficiency ◽  
Sliding Mode ◽  
Weight Ratio ◽  
Speed Control ◽  
Industrial Applications ◽  
Sliding Mode Controller ◽  
Bldc Motor ◽  
Inference System ◽  
Wide Range ◽  
Fuzzy Sliding Mode

Brushless DC (BLDC) motors are one of the most widely used motors for various industrial applications due to their high efficiency, high torque to weight ratio and elimination of mechanical commutator. These motors operate in wide range of speeds and necessitate precise speed control techniques, for their nonlinear model, insenseitive to parameter variations and external disturbances, when used in various sensitive applications. Conventional PI and other existing controllers produce high overshoot and increased rise time and settling time. The performance of BLDC motor is enhanced using a Fuzzy Sliding Mode Controller (FSMC) whose gain is intelligently varied with the help of a Fuzzy Inference System (FIS). For this purpose, a suitable FSMC is designed, simulated and implemented using FPGA. The simulation results are validated using Hardware in the loop (HIL) simulation as well as actual hardware implementation. Great improvement in the transient performance is achieved when compared to chatter free SMC, Fuzzy PI and conventional PI controller.

scholarly journals Design of the Depth Controller for a Floating Ocean Seismograph

2020 ◽  
Vol 8 (3) ◽  
pp. 166
Author(s):  
Haocai Huang ◽  
Chenyun Zhang ◽  
Weiwei Ding ◽  
Xinke Zhu ◽  
Guiqing Sun ◽  
...  
Keyword(s):  
Pid Controller ◽  
Sliding Mode ◽  
Fast Response ◽  
Sliding Mode Controller ◽  
P Waves ◽  
Disturbing Force ◽  
Fuzzy Pid Controller ◽  
Depth Control ◽  
Space Function ◽  
Fuzzy Sliding Mode

Floating ocean seismograph (FOS) is a vertical underwater vehicle used to detect ocean earthquakes by observing P waves at teleseismic distances in the oceans. With the requirements of rising to the surface and transmitting data to the satellite in real time and diving to the desired depth and recording signals, the depth control of FOS needs to be zero overshoot and accurate with fast response. So far, it remains challenging to implement such depth control due to the variation of buoyancy caused by the seawater density varying with the depth. The deeper the water is, the greater the impacts on buoyancy are. To tackle it, a fuzzy sliding mode controller considering the influence of seawater density change is proposed and simulated in MATLAB/SIMULINK based on the variable buoyancy system and state space function of FOS. Compared with proportional-integral-derivative (PID) controller, fuzzy PID controller and sliding mode controller, the simulation results indicate that the proposed controller shows its superiority regardless of the disturbing force. Its advantages include smaller steady-state error, faster response time, smaller system chatter, and well robustness. This proves that the designed fuzzy sliding mode controller is able to meet the working requirements and thus, lays a foundation for FOS application.

Sign in / Sign up

Export Citation Format

Share Document