Speed Control of a Three-Phase Induction Motor Based on Robust Optimal Preview Control Theory

Negm, M.M.; Bakhashwain, J.M.; Shwehdi, M.H.

doi:10.1109/tec.2005.858072

Cited by 42 publications

(28 citation statements)

References 10 publications

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“…With the discontinuous control described by (17), it was clear that the stator voltage component V ds may give rise to chattering. In this case, we may risk destroying the motor and the inverter arms.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

Jamoussi

Ouali

Chrifi‐Alaoui

et al. 2013

Int. J. Autom. Comput.

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A robust sliding mode approach combined with a field oriented control (FOC) for induction motor (IM) speed control is presented. The proposed sliding mode control (SMC) design uses an adaptive switching gain and an integrator. This approach guarantees the same robustness and dynamic performance of traditional SMC algorithms. And at the same time, it attenuates the chattering phenomenon, which is the main drawback in actual implementation of this technique. This approach is insensitive to uncertainties and permits to decrease the requirement for the bound of these uncertainties. The stability and robustness of the closedloop system are proven analytically using the Lyapunov synthesis approach. The proposed method attenuates the effect of both uncertainties and external disturbances. Experimental results are presented to validate the effectiveness and the good performance of the developed method.

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Section: Simulation and Experimental Resultsmentioning

confidence: 99%

“…[16][17][18] show the evolutions of I ds current, the rotor flux magnitude (ψ dr ref and ψ dr ) and the stator voltages (V ds and Vqs), respectively.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

Jamoussi

Ouali

Chrifi‐Alaoui

et al. 2013

Int. J. Autom. Comput.

View full text Add to dashboard Cite

show abstract

“…M. M. Negm, et. al. have synthesized Optimal Preview Control for three-phase induction motor [7]. Analysis and Design of H∞ Preview Tracking Control.…”

Section: Introductionmentioning

confidence: 99%

Design of Fixed structure Preview Controller with constraints

Birla

Swarup

2011

2011 Annual IEEE India Conference

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This paper presents the design of fixed structure Preview Controller with multiple objectives in constrained environment as min-max problem. The paper explains the novel MOCC-PSO (Multi-Objective Constrained Co-evolutionary Particle Swarm Optimization) procedure to solve this optimization problem, with techniques to handle infeasible solution. The proposed procedure is tested and verified for control problems using MATLAB platform. The system models are taken from the literature. The results validate the ability of the procedure in terms of the quality of solution obtained in the constrained environment and the ease to implement the nonconventional objectives and constraints.

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“…Kuroiwa, et al have analysed the H∞ Preview Control problem for the systems with delay [6]. M. M. Negm, et al have synthesized Optimal Preview Control for three-phase induction motor [7]. Analysis and Design of H∞ Preview Tracking Control Systems and its various variations using state augmentation have also been studied [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

PSO approach to preview tracking control systems

Birla

Swarup

2009

TENCON 2009 - 2009 IEEE Region 10 Conference

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Preview Control is a field well suited for application to systems that have reference signals known a priori. The use of advance knowledge of reference signal can improve the tracking quality of the concerned control system. The classical solution to the Preview Control problem is obtained using the Algebraic Riccati Equation. The solution obtained is good but it is not optimal and has a scope of improvement. This paper presents a novel method of design of H∞ Preview Controller using Particle Swarm Optimization (PSO) technique. The procedure is based on improving the performance by minimizing the objective function i.e. IAE (Integral of Absolute Error). The procedure is tested for two systems -Altitude Control System of second order and an industrial system of fifth order using MATLAB software environment. The results show that the solutions of PSO based technique are better in terms of the control characteristics of transient response of the system for various preview lengths, stability and also in terms of the objective function Integral of Absolute Error (IAE).

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Speed Control of a Three-Phase Induction Motor Based on Robust Optimal Preview Control Theory

Cited by 42 publications

References 10 publications

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

Design of Fixed structure Preview Controller with constraints

PSO approach to preview tracking control systems

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