scholarly journals Discrete-time Sensorless Control Using new BS_SM Controller structure and VM_ SC MRAS Adaptive Speed Observer for The propulsion system of Ship

2021 ◽  
Vol 20 ◽  
pp. 1-11
Author(s):  
Ngoc Thuy Pham
Keyword(s):  
Measurement Errors ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Fast Response ◽  
Propulsion System ◽  
Neuron Network ◽  
Control Approach ◽  
Speed Regulation ◽  
Sensorless Vector Control ◽  
Simulation Results

In this paper, a (BS_SM) new Backstepping_ Sliding mode controll structure combined with a (VM_SC_ MRAS) improved stator current MRAS based on adaptive speed observer using neuron network and sliding mode are proposed to sensorless vector control for The propulsion system of Ship. The design of the controller is based on new BS and SM sructure to improve its performance and robustness. VM_SC_ MRAS improved adaptive speed observer is proposed to estimate the speed of propeller. The combination of BS-SM controller with VM_SC_MRAS adaptive speed observer can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and load disturbances, improving dynamic performance and enhancing the robustness of the SPIM drive system, perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation. The simulation results lead to the conclusion that the proposed system for the propulsion system of ship is feasible. The simulation results on a test ship propelled showed that the proposed control approach operates satisfactorily.

scholarly journals Discrete-time Sensorless Control Using new BS_SM Controller structure and VM_ SC MRAS Adaptive Speed Observer for The propulsion system of Ship

2021 ◽  
Vol 19 ◽  
pp. 257-267
Author(s):  
Ngoc Thuy Pham
Keyword(s):  
Measurement Errors ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Fast Response ◽  
Propulsion System ◽  
Neuron Network ◽  
Control Approach ◽  
Speed Regulation ◽  
Sensorless Vector Control ◽  
Simulation Results

In this paper, a (BS_SM) new Backstepping_ Sliding mode controll structure combined with a (VM_SC_ MRAS) improved stator current MRAS based on adaptive speed observer using neuron network and sliding mode are proposed to sensorless vector control for The propulsion system of Ship. The design of the controller is based on new BS and SM sructure to improve its performance and robustness. VM_SC_ MRAS improved adaptive speed observer is proposed to estimate the speed of propeller. The combination of BS-SM controller with VM_SC_MRAS adaptive speed observer can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and load disturbances, improving dynamic performance and enhancing the robustness of the SPIM drive system, perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation. The simulation results lead to the conclusion that the proposed system for the propulsion system of ship is feasible. The simulation results on a test ship propelled showed that the proposed control approach operates satisfactorily

scholarly journals A Sensorless Vector Control Using new BS_PCH Controller structureand SC MRAS Adaptive Speed Observer for Electric Vehicles

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Vector Control ◽  
Electric Vehicle ◽  
Measurement Errors ◽  
Fast Response ◽  
Vehicle Speed ◽  
Control Approach ◽  
Speed Regulation ◽  
Sensorless Vector Control ◽  
Simulation Results ◽  
Ev Model

In this paper, a new controll structure are proposed to sensorless vector control the in-wheel motordrive system of Electric Vehicle (EV) to improve its performance and robustness. The design of the controlleris based on Backstepping and Hamitolnion control combined with a improved stator current MRAS adaptivespeed observer proposed to estimate the vehicle speed and it also can compensate for the uncertainties causedby the machine parameter variations, measurement errors, and load disturbances, improving dynamicperformance and enhancing the robustness of the SPIM drive system, perfect tuning of the speed referencevalues, fast response of the motor current and torque, high accuracy of speed regulation. A global EV model isalso evaluated based on the vehicle dynamics in this paper. The simulation results lead to the conclusion thatthe proposed system for the propulsion system of electric vehicle is feasible. The simulation results on a testvehicle propelled by two SPIM showed that the proposed control approach operates satisfactorily

Sensorless speed control of SPIM using BS_PCH novel control structure and NNSM_SC MRAS speed observer

2020 ◽  
Vol 39 (3) ◽  
pp. 2657-2677
Author(s):  
Ngoc Thuy Pham
Keyword(s):  
Measurement Errors ◽  
Control Structure ◽  
Sliding Mode ◽  
Current Model ◽  
Dynamic Performance ◽  
Speed Control ◽  
Fast Response ◽  
Speed Regulation ◽  
Speed Estimator ◽  
Model Reference Adaptive

This paper propose a novel Port Controlled Hamiltonian_Backstepping (PCH_BS) control structure with online tuned parameters, in combination with the modified Stator Current Model Reference Adaptive Syatem (SC_MRAS) based on speed and flux estimator using Neural Networks(NN) and sliding mode (SM) for sensorless vector control of the six phase induction motor (SPIM). The control design is based on combination PCH and BS techniques to improve its performance and robustness. The combination of BS_PCH controller with speed estimator can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and external load disturbances, enables very good static and dynamic performance of the sensorless drive system (perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation) in a wide speed range, and robust for the disturbances of the load, the speed variation and low speed. The proposed sensorless speed control scheme is validated through Matlab-Simulink. The simulation results verify the effectiveness of the proposed control and observer.

scholarly journals A New Control Strategy for Bi-directional DC/DC Converter in DC Microgrid

2021 ◽  
Vol 233 ◽  
pp. 01051
Author(s):  
Tianze Miao ◽  
Xiaona Liu ◽  
Siyuan Liu ◽  
Lihua Wang
Keyword(s):  
Steady State ◽  
Control Strategy ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Response Speed ◽  
Fast Response ◽  
Sliding Mode Controller ◽  
Exponential Approximation ◽  
Dc Microgrid ◽  
Simulation Results

The bi-directional DC / DC converter in DC microgrid is a typical nonlinear system which has large voltage disturbance during lead accumulator charging and discharging. In order to solve the problem of voltage disturbance, the linearization of the converter is realized by exact feedback linearization, and the sliding mode controller is designed by using exponential approximation law. The simulation results show that the method has fast response speed, strong anti-interference ability and good steady-state characteristics.

Dynamic Analysis and Sliding Mode Control of a Novel Extendable Modular Multi-DOFs Link

2012 ◽  
Author(s):  
Hak Yi ◽  
Je Hong Yoo ◽  
Reza Langari
Keyword(s):  
Sliding Mode Control ◽  
Dynamic Analysis ◽  
Sliding Mode ◽  
Free Motion ◽  
Modular Robot ◽  
Nonlinear Controller ◽  
Control Approach ◽  
Mode Control ◽  
Reachable Workspace ◽  
Simulation Results

In this paper, we have considered the new extendable modular multi-DOFs link to have a larger reachable workspace and more dexterous manipulability, as compared to a typical link. As a part of the extendable modular robot (EMR), our link is implemented to allow free motion when performing required tasks. In addition, this paper deals with a function of adjusting the link’s length (within 25% of the nominal length). Our investigation also focuses on the dynamics of a multi-DOFs link and the nonlinear controller for a given trajectory. The simulation results show the effectiveness of this control approach.

scholarly journals Rotor Suspension and Stabilization of Bearingless SRM using Sliding Mode Controller

2018 ◽  
Vol 7 (1.8) ◽  
pp. 214
Author(s):  
Polamraju. V.S.Sobhan ◽  
G V. Nagesh Kumar ◽  
P V. Ramana Rao
Keyword(s):  
High Speed ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Sliding Mode Controller ◽  
Displacement Control ◽  
Switched Reluctance ◽  
Speed Regulation ◽  
High Torque ◽  
High And Low Temperatures ◽  
Control Methodology

Motors working in extreme conditions such as ultra high and low temperatures, high contamination, high purity etc. require high maintenance of mechanical bearings and the regular lubrication. Hence there is a need of a motor without mechanical bearings and lubrication in addition to simple in control and less maintenance. There by, bearingless motors (BLMs) gain more attention. The bearingless switched reluctance motor’s (BLSRM)  is simple in construction and economical in addition to high speed capacity and high torque to inertia ratio. The magnetic nonlinearity arising due to double salient structure makes rotor eccentric displacement control and speed regulation complicate and needs robust control methodology such as sliding mode control (SMC) which has integrity, high certainty and rapid dynamic response when compared to typical controllers. Sliding mode can be realized with distinct classical reaching laws. This paper presents design and implementation of a SMC for a 12/14 BLSRM and the dynamic performance is endorsed by simulation using Matlab software.

Novel design of an optimized synergetic control for dual stator induction motor

2019 ◽  
Vol 38 (6) ◽  
pp. 1828-1845
Author(s):  
Hossine Guermit ◽  
Katia Kouzi ◽  
Sid Ahmed Bessedik
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Optimal Parameter ◽  
Control Strategies ◽  
Pso Algorithm ◽  
Operating Conditions ◽  
Content Type ◽  
Control Approach ◽  
Simulation Results ◽  
Synergetic Control

Purpose This paper aims to present a contribution to improve the performance of vector control scheme of double star induction motor drive (DSIM) by using an optimized synergetic control approach. The main advantage of synergetic control is that it supports all parametric and nonparametric uncertainties, which is not the case in several control strategies. Design/methodology/approach The suggested controller is developed based on the synergistic control theory and the particle swarm optimization (PSO) algorithm which allow to obtain the optimal parameter of suggested controller to improve the performance of control system. Findings To show the benefits of proposed controller, a comparative simulation results between conventional PI controller, sliding mode controller and suggested controller were carried out. Originality/value The obtained simulation results illustrate clearly that synergetic controller ensures a rapid response, asymptotic stability of the closed-loop system in the all range operating condition and system robustness in presence of parameter variation in all range of operating conditions.

scholarly journals A Double Power Reaching Law of Sliding Mode Control Based on Neural Network

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Xin Zhao ◽  
Tian Wu ◽  
Yan Ma
Keyword(s):  
Neural Network ◽  
Controller Design ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
External Interference ◽  
Reaching Law ◽  
Strong Robustness ◽  
Simulation Results ◽  
Exponential Reaching Law ◽  
Single Power

For discrete system, the reaching law election and controller design are two crucial and important problems. In this paper, an improved double power reaching law of SMC and a controller combined with neural network have been investigated. Theory proves that this method can eliminate the chattering and increase the reaching rate. Furthermore, when there is a certain external interference, the regulating function of neural network can ensure strong robustness of the system. Simulation results show that compared with exponential reaching law, single power reaching law, and traditional double power reaching law, the proposed reaching law has faster convergence speed and better dynamic performance.

scholarly journals Design of Nonlinear Robust Rotor Current Controller for DFIG Based on Terminal Sliding Mode Control and Extended State Observer

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Guowei Cai ◽  
Cheng Liu ◽  
Deyou Yang ◽  
Nantian Huang
Keyword(s):  
Sliding Mode ◽  
Dynamic Performance ◽  
Variable Structure ◽  
State Observer ◽  
Extended State Observer ◽  
Strong Nonlinearity ◽  
Extended State ◽  
Terminal Sliding Mode ◽  
Control Approach ◽  
Current Controller

As to strong nonlinearity of doubly fed induction generators (DFIG) and uncertainty of its model, a novel rotor current controller with nonlinearity and robustness is proposed to enhance fault ride-though (FRT) capacities of grid-connected DFIG. Firstly, the model error, external disturbances, and the uncertain factors were estimated by constructing extended state observer (ESO) so as to achieve linearization model, which is compensated dynamically from nonlinear model. And then rotor current controller of DFIG is designed by using terminal sliding mode variable structure control theory (TSMC). The controller has superior dynamic performance and strong robustness. The simulation results show that the proposed control approach is effective.

scholarly journals Robust Sliding Mode Control for Novel Type of Parallel Robot

2017 ◽  
Vol 2 (4) ◽  
pp. 218-227
Author(s):  
Fouad INEL ◽  
Youcef ZENNIR
Keyword(s):  
Sliding Mode Control ◽  
Dynamic Model ◽  
Graphical User Interface ◽  
Sliding Mode ◽  
Parallel Robot ◽  
Control Approach ◽  
Mode Control ◽  
Simulation Results ◽  
User Friendly ◽  
Future Work

In this paper we present a new control architecture based on the robust sliding mode control applied to control a nonlinear system (parallel cable robot). This approach is widely used to address the uncertainties and disturbances of nonlinear systems and to improve the performance of the robot in terms of tracking a desired path. A dynamic model is presented followed by the description of the control approach used. To do this, numerical simulations were carried out by developing a specific code including a graphical user interface for a user-friendly real time. The simulation results for a dynamic model with sliding mode control are discussed for different trajectories applied to this robot, to confirm the validity of accurate tracking of a desired path before future work description.

Sign in / Sign up

Export Citation Format

Share Document