Hybrid journal (It can contain Open Access articles) ISSN (Print) 2050-6902 - ISSN (Online) 2050-6910 Published by Inderscience Publishers[451 journals]
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Authors:Terkaa J. Shima, Hassan A. Bashir Pages: 1 - 18 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 purposes, the performances of the PSO-ISMC and the DE-ISMC on the stabilisation 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 stabilising 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 optimisation; PSO; differential evolution; integral sliding mode controller; ISMC; cart-inverted pendulum; CIP; uncertain systems Citation: International Journal of Nonlinear Dynamics and Control, Vol. 2, No. 1 (2021) pp. 1 - 18 PubDate: 2021-08-16T23:20:50-05:00 DOI: 10.1504/IJNDC.2021.117083 Issue No:Vol. 2, No. 1 (2021)
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Authors:Khouloud Bedoud, Tahar Bahi, Hichem Merabet, Djalel Drici, Brahim Oudjani Pages: 19 - 32 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 normalised 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 modelling (power inverter-machine) and the monitoring algorithms are developed and established under the MATLAB/Simulink environment, where the results are presented and analysed. The feasibility and the effectiveness of the proposed techniques have been validated by simulation under different operating conditions. Keywords: fault detection; fault isolation; modelling; fault detection and isolation; FDI; diagnosis; open-circuit fault; DC-AC; converter Citation: International Journal of Nonlinear Dynamics and Control, Vol. 2, No. 1 (2021) pp. 19 - 32 PubDate: 2021-08-16T23:20:50-05:00 DOI: 10.1504/IJNDC.2021.117084 Issue No:Vol. 2, No. 1 (2021)
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Authors:Ishan Garg, Bharat Bhushan Sharma Pages: 33 - 50 Abstract: In this paper, a relatively simplified adaptive control strategy for set of chaotic systems is presented. The results utilise 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 utilises 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; AMRE Citation: International Journal of Nonlinear Dynamics and Control, Vol. 2, No. 1 (2021) pp. 33 - 50 PubDate: 2021-08-16T23:20:50-05:00 DOI: 10.1504/IJNDC.2021.117085 Issue No:Vol. 2, No. 1 (2021)
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Authors:Salima Lekhchine, Tahar Bahi Pages: 51 - 65 Abstract: This paper presents the performance analysis of doubly fed induction motor speed control where the direct torque control strategy is used 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 analyse 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 motor's 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; DFIM; direct torque control; DTC; PI controller; fuzzy logic controller Citation: International Journal of Nonlinear Dynamics and Control, Vol. 2, No. 1 (2021) pp. 51 - 65 PubDate: 2021-08-16T23:20:50-05:00 DOI: 10.1504/IJNDC.2021.117086 Issue No:Vol. 2, No. 1 (2021)
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Authors:Abel Chernet, Gebremicheal Teame Pages: 66 - 96 Abstract: When vehicle speed increases, stable and powerful brake system is required to ensure the safety of the vehicle and passengers. For high speed braking of vehicle, contactless eddy current brake (ECB) is developed and applied to antilock brake system (ABS). An adaptive sliding mode controller for ABS using eddy current is presented with a sliding mode observer (SMO). Using vehicle acceleration, wheel speeds, and braking torque, the vehicle velocity estimated by SMO. To control the system based on wheel slip, half-car model is developed by considering uncertainty of the road slope and aerodynamic drag force. According to the controller, the vehicle ABS model is built with MATLAB Simulink. The response of controller is compared in terms of braking time and stopping distance. The results indicate proposed controller algorithm achieves minimum braking time and minimum stopping distance on selected roads. Keywords: eddy current brake; ECB; antilock braking system; sliding mode observer; SMO; adaptive sliding mode control Citation: International Journal of Nonlinear Dynamics and Control, Vol. 2, No. 1 (2021) pp. 66 - 96 PubDate: 2021-08-16T23:20:50-05:00 DOI: 10.1504/IJNDC.2021.117087 Issue No:Vol. 2, No. 1 (2021)
Hybrid journal (It can contain Open Access articles)
[451 journals]
