Abstract
In this paper, a predictive sliding mode control based cascade control strategy is proposed for improving system performance and to reduce the effect of uncertainty in model parameters such as varying time-delay and varying time constant of the system. The proposed structure has two controllers in the primary loop and one controller in the secondary loop. The disturbance rejection and delay compensation strategies are incorporated in the primary loop. The primary controller is designed with Smith predictor based sliding mode control to eliminate the effects of model parameter uncertainty, which occur due to modeling inaccuracies in identification of overall primary process model into first order plus dead-time model. The disturbance rejection control law is designed to reduce the effect of disturbances in steady state operating condition. The secondary controller is designed based on conventional sliding mode approach with first order sliding surface. A new control scheme has been proposed looking for superior performance and robustness improvement. Simulation example is given to illustrate the use of the proposed method and its superiority over some existing design methods.
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Holkar, K.S., Waghmare, L.M. & Lakhekar, G.V. Predictive sliding mode based cascade control for parametric uncertainty. Int. J. Dynam. Control 3, 437–447 (2015). https://doi.org/10.1007/s40435-014-0095-4
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DOI: https://doi.org/10.1007/s40435-014-0095-4