scholarly journals Adaptive Compensator of Single State Elastoplastic Friction Model

2011 ◽  
Vol 8 (2) ◽  
pp. 66
Author(s):  
A. A. Abouelsoud ◽  
J. Abdo ◽  
R. Zaier
Keyword(s):  
Closed Loop ◽  
Friction Model ◽  
Adaptive Observer ◽  
Nonlinear Friction ◽  
Closed Loop System ◽  
Adaptive Compensator ◽  
Single State ◽  
Contact Surfaces ◽  
Simulation Results ◽  
Lyapunov Second Method

 A nonlinear friction is an unavoidable phenomenon frequently experienced in mechanical system between two contact surfaces. An adaptive compensator is designed to achieve tracking of a desired velocity trajectory in the presence of friction force described by a single state elastoplastic friction model. The adaptive compensator includes an adaptive observer and a computed force controller. The closed loop system is shown to be stable using Lyapunov second method. Simulation results show the effectiveness of the proposed compensator. 

Nonlinear Control of Semi-Active MacPherson Suspension System

2012 ◽  
Author(s):  
Olugbenga M. Anubi ◽  
Carl D. Crane
Keyword(s):  
Closed Loop ◽  
Control Design ◽  
Mr Damper ◽  
Suspension System ◽  
Time Domain Simulation ◽  
Closed Loop System ◽  
Output Feedback Controller ◽  
Space Frequency ◽  
Simulation Results ◽  
Active Damper

This paper presents the control design and analysis of a non-linear model of a MacPherson suspension system equipped with a magnetorheological (MR) damper. The model suspension considered incorporates the kinematics of the suspension linkages. An output feedback controller is developed using an ℒ2-gain analysis based on the concept of energy dissipation. The controller is effectively a smooth saturated PID. The performance of the closed-loop system is compared with a purely passive MacPherson suspension system and a semi-active damper, whose damping coefficient is tunned by a Skyhook-Acceleration Driven Damping (SH-ADD) method. Simulation results show that the developed controller outperforms the passive case at both the rattle space, tire hop frequencies and the SH-ADD at tire hop frequency while showing a close performance to the SH-ADD at the rattle space frequency. Time domain simulation results confirmed that the control strategy satisfies the dissipative constraint.

ADAPTIVE CONTROL OF UNCERTAIN LORENZ SYSTEM USING DECOUPLED BACKSTEPPING

2004 ◽  
Vol 14 (04) ◽  
pp. 1439-1445 ◽  
Author(s):  
S. S. GE
Keyword(s):  
Adaptive Control ◽  
Closed Loop ◽  
Lorenz System ◽  
Physical Property ◽  
Asymptotic Convergence ◽  
Closed Loop System ◽  
Feedback Form ◽  
Controlling Chaos ◽  
Simulation Results ◽  
The Lorenz System

In this letter, we reconsider the problem of controlling chaos in the well-known Lorenz system. Firstly, the difficulty in controlling the Lorenz system is discussed in the general strict-feedback form. Then, singularity-free adaptive control is presented for the Lorenz system with three key parameters unknown by exploiting the physical property of the system using decoupled backstepping design. The proposed controller guarantees the asymptotic convergence of the output and the boundedness of all the signals in the closed-loop system. Simulation results are conducted to show the effectiveness of the approach.

Speed Model Predictive Control Based on the Track Error Rate

2013 ◽  
Vol 336-338 ◽  
pp. 839-842
Author(s):  
Jin Huang ◽  
Cheng Zhi Yang ◽  
Ji Feng Wang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Closed Loop ◽  
Tracking Error ◽  
Matlab Simulation ◽  
Closed Loop System ◽  
Index Function ◽  
Dynamical Characteristics ◽  
Simulation Results ◽  
Controlled Object

In order to make the controlled object have better dynamical characteristics, through introducing the differential item of error into optimal performance index function of tracking error, an improved algorithm of model predictive control is discussed in this paper. The theoretical analysis and Matlab simulation results show that it has better controlled quality and stronger robustness for closed-loop system.

Stable Nonlinear Control Allocation for Aircraft with Multiple Control Effectors

2011 ◽  
Vol 138-139 ◽  
pp. 404-409 ◽  
Author(s):  
Heng Li ◽  
Jin Yong Yu ◽  
You An Zhang
Keyword(s):  
Closed Loop ◽  
Dynamic Control ◽  
Lyapunov Stability Theory ◽  
Invariant Set ◽  
Control Law ◽  
Control Allocation ◽  
Nonlinear Controller ◽  
Closed Loop System ◽  
Multiple Control ◽  
Simulation Results

With respect to aircraft with redundant multiple control effectors, a nonlinear controller, which is composed of a virtual control law and a dynamic control allocation with position constraints of each effector, is designed. Based on Lyapunov stability theory and LaSalle invariant set theorem, asymptotic stabilities of upper control subsystem, dynamic control allocation subsystem and overall closed-loop system are proved respectively. Simulation results show the effectiveness of the proposed method.

scholarly journals Modeling and reliability analysis of three phase z-source AC-AC converter

2017 ◽  
Vol 66 (4) ◽  
pp. 731-743
Author(s):  
Hanuman Prasad ◽  
Tanmoy Maity
Keyword(s):  
Reliability Analysis ◽  
Output Voltage ◽  
Closed Loop ◽  
Supply Voltage ◽  
Loop System ◽  
Small Signal ◽  
Closed Loop System ◽  
Voltage Variation ◽  
Three Phase ◽  
Simulation Results

Abstract This paper presents the small signal modeling using the state space averaging technique and reliability analysis of a three-phase z-source ac-ac converter. By controlling the shoot-through duty ratio, it can operate in buck-boost mode and maintain desired output voltage during voltage sag and surge condition. It has faster dynamic response and higher efficiency as compared to the traditional voltage regulator. Small signal analysis derives different control transfer functions and this leads to design a suitable controller for a closed loop system during supply voltage variation. The closed loop system of the converter with a PID controller eliminates the transients in output voltage and provides steady state regulated output. The proposed model designed in the RT-LAB and executed in a field programming gate array (FPGA)-based real-time digital simulator at a fixedtime step of 10 μs and a constant switching frequency of 10 kHz. The simulator was developed using very high speed integrated circuit hardware description language (VHDL), making it versatile and moveable. Hardware-in-the-loop (HIL) simulation results are presented to justify the MATLAB simulation results during supply voltage variation of the three phase z-source ac-ac converter. The reliability analysis has been applied to the converter to find out the failure rate of its different components.

ADAPTIVE BACKSTEPPING CONTROL OF UNCERTAIN LORENZ SYSTEM

2001 ◽  
Vol 11 (04) ◽  
pp. 1115-1119 ◽  
Author(s):  
C. WANG ◽  
S. S. GE
Keyword(s):  
Closed Loop ◽  
Lorenz System ◽  
Backstepping Design ◽  
Closed Loop System ◽  
Adaptive Backstepping ◽  
Feedback Form ◽  
Controlling Chaos ◽  
Simulation Results ◽  
The Lorenz System ◽  
Adaptive Backstepping Design

In this paper, we consider the problem of controlling chaos in the well-known Lorenz system. Firstly we show that the Lorenz system can be transformed into a kind of nonlinear system in the so-called general strict-feedback form. Then, adaptive backstepping design is used to control the Lorenz system with three key parameters unknown. By exploiting the property of the system, the resulting controller is singularity free, and the closed-loop system is stable globally. Simulation results are conducted to show the effectiveness of the approach.

Control Design for the System of Manipulator Handling a Flexible Payload With Input Constraints

2018 ◽  
Author(s):  
Shuyang Liu ◽  
Reza Langari ◽  
Yuanchun Li
Keyword(s):  
Differential Equation ◽  
Ordinary Differential Equation ◽  
Closed Loop ◽  
Semigroup Theory ◽  
Control Design ◽  
Hyperbolic Function ◽  
Control Law ◽  
Input Constraints ◽  
Closed Loop System ◽  
Simulation Results

In this paper, we consider the control design for manipulator handling a flexible payload in the presence of input constraints. The dynamics of the system is described by coupled ordinary differential equation and a partial differential equation. Considering actuators saturation, the proposed control law applies a smooth hyperbolic function to handle the effect of the input constraints. The asymptotic stability of the closed-loop system is proved by using semigroup theory and extended LaSalle’s Invariance Principle. Simulation results show that the proposed controller is effective.

Fuzzy Adaptive Output Tracking Controller for a Class of Chaotic Systems

2012 ◽  
Vol 488-489 ◽  
pp. 1793-1797
Author(s):  
R. Ghasemi ◽  
M.B. Menhaj ◽  
B. Abdi
Keyword(s):  
Chaotic Systems ◽  
Closed Loop ◽  
Adaptive Controller ◽  
Closed Loop System ◽  
External Disturbances ◽  
Output Tracking ◽  
Fuzzy Adaptive Controller ◽  
Simulation Results ◽  
The Stability ◽  
Fuzzy Adaptive

This paper proposes a new method for designing a fuzzy adaptive controller for a class of non-affine nonlinear chaotic systems in which functions of the systems are unknown. The proposed method is aimed on a class of non-canonical non-affine nonlinear chaotic systems. The stability of the closed loop system is guaranteed based on Lyapunov’s theory. The proposed controller is robust against uncertainties and external disturbances. The simulation results show the effectiveness of the proposed method.

Research on Identification of Vehicle Steering Angle

2014 ◽  
Vol 608-609 ◽  
pp. 787-793
Author(s):  
Yu Rui
Keyword(s):  
Closed Loop ◽  
Inverse Dynamics ◽  
High Accuracy ◽  
Lateral Acceleration ◽  
Lane Change ◽  
Closed Loop System ◽  
Steering Angle ◽  
Vehicle Handling ◽  
Double Lane Change ◽  
Simulation Results

Based on Radial Basis Function neural networks , a method of identifying vehicle steering angle is proposed for further investigation of the vehicle handling inverse dynamics. According to the simulation results of a two-degree-freedom closed-loop system and the test of double lane change maneuver, the mapping relationship between vehicle yaw velocity, lateral acceleration and steering angle can be found. The identification results show that the method is not only feasible, but also with high accuracy, little computation requirement and good stability.

scholarly journals Improving Power System Stability Using Transfer Function: A Comparative Analysis

2017 ◽  
Vol 7 (5) ◽  
pp. 1946-1952
Author(s):  
G. Shahgholian ◽  
A. Fattollahi
Keyword(s):  
Transfer Function ◽  
Power System ◽  
Closed Loop ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
System Stability ◽  
Closed Loop System ◽  
Simulation Results ◽  
Single Machine Infinite Bus ◽  
Signal Dynamic

In this paper, a small-signal dynamic model of a single-machine infinite-bus (SMIB) power system that includes IEEE type-ST1 excitation system and PSS based on transfer function structure is presented. The changes in the operating condition of a power system on dynamic performance have been examined. The dynamic performance of the closed-loop system is analyzed base on its eigenvalues. The effectiveness of the parameters changes on dynamic stability is verified by simulation results. Three types of PSS have been considered for analysis: (a) the derivative PSS, (b) the lead-lag PSS or conventional PSS, and (c) the proportional-integral-derivative PSS. The objective function is formulated to increase the damping ratio of the electromechanical mode eigenvalues. Simulation results show that the PID-PSS performs better for less overshoot and less settling time compared with the CPSS and DPSS under different load operation and the significant system parameter variation conditions.

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