International Journal of Nonlinear Dynamics and Control
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International Journal of Nonlinear Dynamics and Control (4 papers in press)
Performance Assessment of Particle Swarm Optimization and Differential Evolution Algorithms on Integral Sliding Mode Control of Cart-Inverted Pendulum by Terkaa J. Shima, Hassan A. Bashir Abstract: In this paper, optimal parameters of Integral Sliding Mode Controller (ISMC) that balances a Cart-Inverted Pendulum (CIP) system in the unstable equilibrium position are determined using both PSO and DE algorithms. For comparison purpose, the performances of the PSO-ISMC and the DE-ISMC on the stabilization of the CIP system in its unstable equilibrium position are evaluated. Simulation results have shown that both the PSO-ISMC and the DE-ISMC are capable of stabilizing the CIP system in the unstable equilibrium. Importantly, the experiments successfully identified the particular situations in which the PSO-ISMC and the DE-ISMC algorithms perform best depending on the position of the inverted pendulum with respect to the unstable equilibrium position. Keywords: Particle swarm optimization; differential evolution; integral sliding mode controller; cart-inverted pendulum; uncertain systems.
Open-Switch Fault Detection and Isolation of DC-AC Static Inverter Feeding Induction Machine by Khouloud Bedoud, Tahar Bahi, Hichem Merabet, Djalel Drici, Brahim Oudjeni Abstract: In the aim to ensure system reliability and monitoring of latent faults that decrease the installation's life and damage them in the short term, this paper presents an online open-circuit switch fault diagnosis of a DC-AC inverter. The Fault Detection and Isolation (FDI) employed method is articulated on two techniques based practically on stator currents analysis. For the first technique, the developed decision algorithm is based on d-q Park's vector components. In the second technique, fault diagnostic is achieved using normalized quantities of residues from the currents phases in abc frame. When the open circuit switch fault occurs, the residual current vector between the stator currents with and without fault is calculated. After that, this vector will be evaluated by a decision algorithm. The drive chain modeling (Power Inverter-Machine) and the monitoring algorithms are developed and established under the Matlab/Simulink environment, where the results are presented and analyzed. The feasibility and the effectiveness of the proposed techniques have been validated by simulation under different operating conditions. Keywords: fault detection; fault isolation; modeling; FDI; diagnosis; open-circuit fault; DC-AC; Converter.
Simple Adaptive Control Strategy for a Class of Systems Subjected to Real Parametric Uncertainty with Application to Unified Chaotic System by Ishan Garg, Bharat Bhushan Sharma Abstract: In this paper, a relatively simplified adaptive control strategy for set of chaotic systems is presented. The results utilize the basic linear state feedback control strategy blended with Algebraic Matrix Riccati Equation (AMRE) to derive the control mechanism for chaotic systems operating in uncertain environment. The proposed approach utilizes lesser number of control inputs in comparison to methods available in literature. Moreover, the controller structure turns out to be simple linear combination of states of system for the chaotic systems belonging to the proposed class, which are otherwise handled with nonlinear controller design strategies. The Lyapunov stability approach is exploited to analytically derive the control function and the parametric updation laws for uncertain parameters. Extensive simulation results are elaborated for set of chaotic systems to demonstrate effectiveness and validity of the presented approach. Keywords: chaotic systems; linear adaptive controller; Lyapunov stability theory; parametric uncertainty; algebraic matrix Riccati equation.
Intelligent Speed Control and Design of Direct Torque Controller of Doubly Fed Induction Motor by Salima Lekhchine, Tahar BAHI Abstract: This paper presents the performance analysis of doubly fed induction motor speed control where the Direct Torque Control strategy is using to obtain high performance torque control. For this, the classical proportional integral and fuzzy logic controllers are applied. Both types are considered in this work in order to analyze their performances as well as their robustness with respect to external disturbances (load torque variation) and internal (stator resistance variation). A complete simulation model for the proposed drive is developed using MatLab/Simulink. The effectiveness of the proposed drive is verified at different dynamic operating conditions by simulation results. Indeed, the simulation results showed that the proportional integral controller is sensitivity to motor parameter variations because their coefficients are calculated according motors parameters but the artificial fuzzy logic controller ensures the best performances in stator resistance and load variations and better dynamic characteristics. Keywords: Variable speed; doubly fed induction motor; DTC; PI controller; fuzzy logic controller.