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

Yang Li; Xiaofeng Liao; Chuandong Li; Tingwen Huang; Degang Yang

doi:10.1016/j.physleta.2006.12.073

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

Physics Letters A ◽

10.1016/j.physleta.2006.12.073 ◽

2007 ◽

Vol 366 (1-2) ◽

pp. 52-60 ◽

Cited By ~ 14

Author(s):

Yang Li ◽

Xiaofeng Liao ◽

Chuandong Li ◽

Tingwen Huang ◽

Degang Yang

Keyword(s):

Parameter Mismatch ◽

Impulsive Synchronization

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Experimental Results of Impulsive Synchronization Between Two Chua's Circuits

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127498000437 ◽

1998 ◽

Vol 08 (03) ◽

pp. 639-644 ◽

Cited By ~ 47

Author(s):

Andrey I. Panas ◽

Tao Yang ◽

Leon O. Chua

Keyword(s):

Dynamic Systems ◽

Spread Spectrum ◽

Secure Communication ◽

Communication Systems ◽

Experimental Results ◽

Parameter Mismatch ◽

Driving System ◽

Impulsive Synchronization ◽

Driven System ◽

Chaotic Secure Communication

Impulsive synchronization of chaotic dynamic systems has some important applications to chaotic secure communication and chaotic spread-spectrum communication systems. In this paper we present some experimental results on impulsive synchronization between two Chua's circuits. In our experiments, only one synchronizing impulse sequence is transmitted. The robustness of impulsive synchronization with respect to variations in the frequency and the width of impulses is studied. Experimental results show that robust impulsive synchronization can be achieved under noisy conditions and a 2% parameter mismatch between the driving system and the driven system. We also found that an amplified impulse sequence with a gain greater than unity can make the impulsive synchronization more robust. Moreover, we found that impulsive synchronization can be achieved with very narrow impulses.

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

Actuators ◽

10.3390/act10060132 ◽

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.

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