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Control Structures for Multiplicative Input Disturbance Rejection using Adaptive Direct Fuzzy Controllers

  • Research Article - Electrical Engineering
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Abstract

Many control structures have been proposed in the control literature to effectively deal with disturbances. Most of the control strategies show exceptional performance when the plant is subjected to additive input or output disturbance. Internal model control (IMC) has been proposed in the control literature, which covers a wide range of plants and guarantees good disturbance rejection properties. Few control strategies have been proposed if the plant is nonlinear and is subjected to multiplicative input disturbance. The multiplicative input disturbance changes the behaviour and the gains of the system at different operating points and cannot be rejected using conventional approaches. The paper discusses three different control structures to counteract the effect of the input disturbance. All the three control structures are variations of the Adaptive Direct Fuzzy Controller (ADFC). The fuzzy controller tries to develop an inverse model of the plant using feedback error learning. The control performance of the three control structures is compared using a modified Hammerstein model. It was successfully demonstrated that IMC is incapable of rejecting multiplicative input disturbance, and ADFC with the feedforward of the input disturbance is the optimal choice.

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  1. Pakistan Navy Engineering College (PNEC), National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Muhammad Bilal Kadri

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  1. Muhammad Bilal Kadri
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Correspondence to Muhammad Bilal Kadri.

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Kadri, M.B. Control Structures for Multiplicative Input Disturbance Rejection using Adaptive Direct Fuzzy Controllers. Arab J Sci Eng 38, 1427–1435 (2013). https://doi.org/10.1007/s13369-013-0538-9

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  • DOI: https://doi.org/10.1007/s13369-013-0538-9

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