In this paper, a voltage oriented control strategy for three-level PWM rectifier based on Sliding Mode Control (SMC) is introduced in order to obtain fast and accurate response of dc-bus voltage. To verify the validity of the analysis and the feasibility of the proposed control method a set of simulation tests have been conducted using Matlab/Simulink. The simulation results show that compared to the conventional PI controller, the SMC can reduce drastically the three-level rectifier's voltage fluctuation and improve the dynamic response of dc-bus significantly.

This paper presents stability analysis for the well known generalized predictive control (GPC) when dealing with uncertain systems. This analysis is based on the step response coefficients and its explicit relation with the system transfer function. It reveals a part of the mystery behind the stability strength of the GPC.

In supply chains, the phenomenon of bullwhip effect (the variance amplification of order quantities observed in supply chain) has received a considerable attention by companies as it leads to tremendous losses and poor customer services. This variance amplification occurs according to the necessity of using forecasting methods by companies to predict the demand. To overcome this problem the business society resorts to develop what is called decision rules which show that the bullwhip effect is not avoidable. This paper introduces a control engineering approach called Derivative Derived Generalized Predictive Control (DDGPC) together with Genetic Algorithm GA to reduce this effect. The proposed method can reduce bullwhip effect. Moreover, stability and robustness analyses of the proposed technique are investigated. This would help decision-makers in supply chains management to reduce the negative consequences of the bullwhip effect.

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