scholarly journals Synchronization of coupled augmented Lorenz oscillators with parameter mismatch

2013 ◽  
Vol 4 (4) ◽  
pp. 341-350 ◽  
Author(s):  
K. Yoshimoto ◽  
K. Cho ◽  
Y. Morita ◽  
T. Miyano
Keyword(s):  
Parameter Mismatch

Impulsive synchronization and parameter mismatch of the three-variable autocatalator model

2007 ◽  
Vol 366 (1-2) ◽  
pp. 52-60 ◽  
Author(s):  
Yang Li ◽  
Xiaofeng Liao ◽  
Chuandong Li ◽  
Tingwen Huang ◽  
Degang Yang
Keyword(s):  
Parameter Mismatch ◽  
Impulsive Synchronization

scholarly journals A Modified Model Predictive Torque Control with Parameters Robustness Improvement for PMSM of Electric Vehicles

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 132
Author(s):  
Siyu Gao ◽  
Yanjun Wei ◽  
Di Zhang ◽  
Hanhong Qi ◽  
Yao Wei
Keyword(s):  
Real Time ◽  
Torque Ripple ◽  
Torque Control ◽  
Parameter Mismatch ◽  
Modified Model ◽  
Simulation And Experiment ◽  
Drive Systems ◽  
Low Torque ◽  
Time Update ◽  
Model Reference Adaptive

Model predictive torque control with duty cycle control (MPTC-DCC) is widely used in motor drive systems because of its low torque ripple and good steady-state performance. However, the selection of the optimal voltage vector and the calculation of the duration are extremely dependent on the accuracy of the motor parameters. In view of this situation, A modified MPTC-DCC is proposed in this paper. According to the variation of error between the measured value and the predicted value, the motor parameters are calculated in real-time. Meanwhile, Model reference adaptive control (MRAC) is adopted in the speed loop to eliminate the disturbance caused by the ripple of real-time update parameters, through which the disturbance caused by parameter mismatch is suppressed effectively. The simulation and experiment are carried out on MATLAB / Simulink software and dSPACE experimental platform, which corroborate the principle analysis and the correctness of the method.

ADAPTIVE OBSERVER BASED SYNCHRONIZATION OF A CLASS OF UNCERTAIN CHAOTIC SYSTEMS

2008 ◽  
Vol 18 (08) ◽  
pp. 2425-2435 ◽  
Author(s):  
SAMUEL BOWONG ◽  
RENÉ YAMAPI
Keyword(s):  
Chaotic Systems ◽  
Lyapunov Stability Theory ◽  
Adaptive Observer ◽  
Adaptive Synchronization ◽  
External Disturbances ◽  
Parameter Mismatch ◽  
Lipschitz Constants ◽  
Response Systems ◽  
Uncertain Chaotic Systems ◽  
Robust Adaptive

This study addresses the adaptive synchronization of a class of uncertain chaotic systems in the drive-response framework. For a class of uncertain chaotic systems with parameter mismatch and external disturbances, a robust adaptive observer based on the response system is constructed to practically synchronize the uncertain drive chaotic system. Lyapunov stability theory ensures the practical synchronization between the drive and response systems even if Lipschitz constants on function matrices and bounds on uncertainties are unknown. Numerical simulation of two illustrative examples are given to verify the effectiveness of the proposed method.

scholarly journals Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 492 ◽  
Author(s):  
Ahmed Farhan ◽  
Mohamed Abdelrahem ◽  
Amr Saleh ◽  
Adel Shaltout ◽  
Ralph Kennel
Keyword(s):  
Parameter Estimation ◽  
Predictive Control ◽  
Operating Conditions ◽  
Parameter Mismatch ◽  
Speed Controller ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Finite Set ◽  
Insufficient Response ◽  
The Cost

In this paper, a simplified efficient method for sensorless finite set current predictive control (FSCPC) for synchronous reluctance motor (SynRM) based on extended Kalman filter (EKF) is proposed. The proposed FSCPC is based on reducing the computation burden of the conventional FSCPC by using the commanded reference currents to directly calculate the reference voltage vector (RVV). Therefore, the cost function is calculated for only three times and the necessity to test all possible voltage vectors will be avoided. For sensorless control, EKF is composed to estimate the position and speed of the rotor. Whereas the performance of the proposed FSCPC essentially necessitates the full knowledge of SynRM parameters and provides an insufficient response under the parameter mismatch between the controller and the motor, online parameter estimation based on EKF is combined in the proposed control strategy to estimate all parameters of the machine. Furthermore, for simplicity, the parameters of PI speed controller and initial values of EKF covariance matrices are tuned offline using Particle Swarm Optimization (PSO). To demonstrate the feasibility of the proposed control, it is implemented in MATLAB/Simulink and tested under different operating conditions. Simulation results show high robustness and reliability of the proposed drive.

A New Chaotic Jerk System with Double-Hump Nonlinearity

2020 ◽  
Vol 29 (14) ◽  
pp. 2050232
Author(s):  
Debabrata Biswas
Keyword(s):  
Chaotic Regime ◽  
Third Order ◽  
Parameter Mismatch ◽  
Chaotic Response ◽  
Variation Of Parameters ◽  
Electronic Hardware ◽  
Jerk System ◽  
Lyapunov Exponent Spectrum ◽  
Two Parameter ◽  
Good Analogy

In this paper, we report a new third-order chaotic jerk system with double-hump (bimodal) nonlinearity. The bimodal nonlinearity is of basic interest in biology, physics, etc. The proposed jerk system is able to exhibit chaotic response with proper choice of parameters. Importantly, the chaotic response is also obtained from the system by tuning the nonlinearity preserving its bimodal form. We analytically obtain the symmetry, dissipativity and stability of the system and find the Hopf bifurcation condition for the emergence of oscillation. Numerical investigations are carried out and different dynamics emerging from the system are identified through the calculation of eigenvalue spectrum, two-parameter and single parameter bifurcation diagrams, Lyapunov exponent spectrum and Kaplan–Yorke dimension. We identify that the form of the nonlinearity may bring the system to chaotic regime. Effect of variation of parameters that controls the form of the nonlinearity is studied. Finally, we design the proposed system in an electronic hardware level experiment and study its behavior in the presence of noise, fluctuations, parameter mismatch, etc. The experimental results are in good analogy with that of the analytical and numerical ones.

Effect of parameter mismatch on the dynamics of strongly coupled self sustained oscillators

2017 ◽  
Vol 27 (1) ◽  
pp. 013115 ◽  
Author(s):  
Nilaj Chakrabarty ◽  
Aditya Jain ◽  
Nijil Lal ◽  
Kantimay Das Gupta ◽  
Punit Parmananda
Keyword(s):  
Parameter Mismatch ◽  
Strongly Coupled

Detection of Model Parameter Mismatch Using Simplified Partial Correlation Analysis for Closed-Loop System

2014 ◽  
Vol 625 ◽  
pp. 398-401
Author(s):  
Nur Hidayah Kamal Iqbal ◽  
Nooryusmiza Yusoff ◽  
Lemma Dendena Tufa
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Closed Loop ◽  
Loop System ◽  
Model Structure ◽  
Closed Loop System ◽  
Partial Correlation Analysis ◽  
Parameter Mismatch ◽  
Arx Model ◽  
Model Parameter

Partial correlation analysis is used in detecting the model-plant mismatch as it will give accurate location of mismatched submodel. In this work of model parameter mismatch detection in closed-loop system, a simplified method of partial correlation analysis is proposed. In this method, the identification step for input sensitivities relating setpoints and manipulated variables,Sru, is omitted due the ability of ARX model structure to capture the dynamic of the input-output data even though in the presence of unmeasured disturbance in closed-loop system. The ARX model structure is implemented in decorrelating the observed data from the correlated inputs. By using the ARX model, the mismatch is detected at the precise location compared to the detection using FIR decorrelation model.

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