scholarly journals Nonlinear Control based on Feedback Linearization for Double- Electromagnet Suspension System

1970 ◽  
Vol 108 (2) ◽  
pp. 85-90
Author(s):  
A. Maghsoudlou ◽  
R. Barzamini ◽  
K. D. Farahani
Keyword(s):  
Nonlinear Control ◽  
Feedback Linearization ◽  
Suspension System ◽  
Coupling Effects ◽  
Input And Output ◽  
Feedback Linearization Control ◽  
Measurement Noises ◽  
Simulation Results

In this paper a feedback linearization control for double electromagnet suspension system is presented that addresses the coupling effects between two groups of electromagnetic trains. The controller has been developed based on feedback linearization and some reasonable assumptions of nonlinear mathematical rules. The proposed method in tracking has a satisfying performance in presence of unknown changes in the mass. It also shows robustness against the presence of measurement noises because sensors in plant collect noise from the environment. The simulation results show the capability of the proposed algorithm in the presence of input and output perturbation. Ill. 13, bibl. 7 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.108.2.151

Optimal Control of an Assisted Passive Snake-Like Robot Using Feedback Linearization

2007 ◽  
Author(s):  
Saman Mohammadi ◽  
Zoya Heidari ◽  
Hojjat Pendar ◽  
Aria Alasty ◽  
Gholamreza Vossoughi
Keyword(s):  
Optimal Control ◽  
Nonlinear System ◽  
Nonlinear Control ◽  
Feedback Linearization ◽  
Equations Of Motion ◽  
Dynamic Equations ◽  
Unmodeled Dynamics ◽  
Pd Controller ◽  
Simulation Results ◽  
Distinct Line

In this paper we follow two approaches in optimal nonlinear control of a snake-like robot. After deriving the dynamic equations of motion using Gibbs-Appell method, reducing these equations, and some assumptions, feedbacklinearization method was used to linearize the nonlinear system. The obtained controller is used in simulations to control robot to track a desired line, with minimum required torques. Two goals are desired. First the robot’s head is expected to track a distinct line with a given speed. And next, tracking the serpenoid curve is desired. The simulation results prove the controller efficiency. The robustness of the designed controller is shown by comparing the torques with the required torques using a PD controller. Additionally, although we had model mismatches and unmodeled dynamics in controller part, we achieved the desired goals.

Combined Sliding Mode Control with a Feedback Linearization for Speed Control of Induction Motor

2011 ◽  
Vol 7 (1) ◽  
pp. 19-24
Author(s):  
Aamir Ahmed ◽  
Martino Ajangnay ◽  
Shamboul Mohamed ◽  
Matthew Dunnigan
Keyword(s):  
Sliding Mode Control ◽  
Control Strategy ◽  
Output Feedback ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Speed Control ◽  
Input Output ◽  
Nonlinear Controller ◽  
Feedback Linearization Control ◽  
Simulation Results

Induction Motor (IM) speed control is an area of research that has been in prominence for some time now. In this paper, a nonlinear controller is presented for IM drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding mode control (SMC) to obtain a robust, fast and precise control of IM speed. The input-output feedback linearization control decouples the flux control from the speed control and makes the synthesis of linear controllers possible. To validate the performances of the proposed control scheme, we provided a series of simulation results and a comparative study between the performances of the proposed control strategy and those of the feedback linearization control (FLC) schemes. Simulation results show that the proposed control strategy scheme shows better performance than the FLC strategy in the face of system parameters variation.

A Flatness Based Nonlinear Sensorless Control of Induction Motor Systems

2016 ◽  
Vol 7 (1) ◽  
pp. 265
Author(s):  
Berrezzek Farid ◽  
Bourbia Waffa ◽  
Bensaker Bachir
Keyword(s):  
Induction Motor ◽  
Feedback Linearization ◽  
Sensorless Control ◽  
Nonlinear Observer ◽  
Control Technique ◽  
Nonlinear Feedback ◽  
Motor Systems ◽  
State Variable ◽  
Feedback Linearization Control ◽  
Simulation Results

<p>This paper deals with  the flatness based approach for sensrless  control of induction motor systems.Two main features of the proposed flatness based control are worth to be mentioned.</p><p>Firstly, the simplicity of implementation of the flatness approach as a nonlinear feedback linearization control technique. Secondly, when the chosen flat outputs involve non available state variable measurements a nonlinear observer is used to estimate them<strong>. </strong>The main advantage of the used observer is its ability to exploite the properties of the system nonlinearties. The simulation results are presented to illustrate the effectiness of the proposed approach for sensorless control of the considered induction motor.</p>

scholarly journals Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system

2011 ◽  
Vol 21 (1) ◽  
pp. 137-147 ◽  
Author(s):  
Jimoh Pedro ◽  
Olurotimi Dahunsi
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Feedback Linearization ◽  
Suspension System ◽  
Superior Performance ◽  
Vehicle Suspension ◽  
Input Output ◽  
Road Disturbance ◽  
Feedback Linearization Control ◽  
Vehicle Suspension System

Neural network based feedback linearization control of a servo-hydraulic vehicle suspension systemThis paper presents the design of a neural network based feedback linearization (NNFBL) controller for a two degree-of-freedom (DOF), quarter-car, servo-hydraulic vehicle suspension system. The main objective of the direct adaptive NNFBL controller is to improve the system's ride comfort and handling quality. A feedforward, multi-layer perceptron (MLP) neural network (NN) model that is well suited for control by discrete input-output linearization (NNIOL) is developed using input-output data sets obtained from mathematical model simulation. The NN model is trained using the Levenberg-Marquardt optimization algorithm. The proposed controller is compared with a constant-gain PID controller (based on the Ziegler-Nichols tuning method) during suspension travel setpoint tracking in the presence of deterministic road disturbance. Simulation results demonstrate the superior performance of the proposed direct adaptive NNFBL controller over the generic PID controller in rejecting the deterministic road disturbance. This superior performance is achieved at a much lower control cost within the stipulated constraints.

Feedback Linearization Control of Electric Arc Furnace System Based on dSPACE Simulation

2014 ◽  
Vol 538 ◽  
pp. 394-397
Author(s):  
Yuan Gao ◽  
Xiao He Liu
Keyword(s):  
Feedback Linearization ◽  
Linear Part ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Linear Feedback ◽  
Hardware In The Loop ◽  
Arc Furnace ◽  
Feedback Linearization Control ◽  
Simulation Results ◽  
Feedback Method

In this paper, the method of feedback linearization control based on dSPACE simulation for electric arc furnace system is discussed. With the linear feedback method of differential geometry dealing with non-linear part of electric arc furnace system, the controller was designed. Then the hardware-in-the-loop simulation system was built, and several simulations was done. Simulation results show that the feedback linearization control has better performance.

Sign in / Sign up

Export Citation Format

Share Document