A practical design that combines a fuzzy adaptation technique with sliding mode control to enhance robustness and sliding performance in a class of uncertain MIMO nonlinear systems is proposed. Using an online adaptation scheme, a fuzzy sliding mode controller is used to approximate the equivalent control in the neighbourhood of the sliding manifold. The hitting control is appended to ensure th...

MAV (Micro Aerial Vehicle) is nonlinear plant, it is difficult to obtain stable control for MAV attitude due to uncertainties. The purpose of this paper is to propose one robust 、 stable control strategy for MAV to accommodate system uncertainties, variations, and external disturbances. In this paper, an interval type II fuzzy sliding-mode controller combined with PSO algorithm (ITIIFSMC-PSO) i...

Control of an industrial robot consist of nonlinear terms that causes the uncertainty and external turmoil and must be considered in control law designing. In this study, a control strategy will be presented for the robot arms, based on fuzzy logic control connection and sliding mode control (SMC). The using motivation of SMC in robotic is mainly the admirable features of it such as design simp...

This chapter develops a sliding mode and fuzzy logic-based speed controller, which is named adaptive fuzzy sliding-mode controller (AFSMC) for an indirect fieldoriented control (IFOC) of an induction motor (IM) drive. Essentially, the boundary layer approach is the most popular method to reduce the chattering phenomena, which leads to trade-off between control performances, and chattering elimi...

This paper investigates observer-based stabilization for nonlinear descriptor systems using a fuzzy integral sliding mode control approach. Observer-based integral sliding mode control strategies for the T-S fuzzy descriptor systems are developed. A two step design is first developed to obtain the observer gains and coefficients in the switching function using linear matrix inequalities, and th...

Abstract: The Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) has been used to propose a new method for filtering time series originating from nonlinear systems. The filtering method is based on fuzzy entropy and a new waveform. A new waveform is defined wherein Intrinsic Mode Functions (IMFs)—which are obtained by CEEMDAN algorithm—are firstly sorted in ascending o...

Power Factor Correction (PFC) provides well-known benefits to electric power systems. These benefits include power factor correction, poor power factor penalty utility bill reductions, voltage support, release of system capacity, and reduced system losses. The performance of fuzzy logic controller only depends on the selection of membership function and Inference of fuzzy rules, fuzzy logic con...

failure mode and effects analysis (fmea) is a method based on teamwork to identify potential failures and problems in a system, design, process and service in order to remove them. the important part of this method is determining the risk priorities of failure modes using the risk priority number (rpn). however, this traditional rpn method has several shortcomings. therefore, in this paper we p...

This paper designs a mathematical model for supply chain network design problem including plants, distributors and customers in fuzzy environment. Each plant and distributor has several levels capacities. A multi-mode demand strategy is considered for the customers where only one of the modes is to be selected for each customer. Considering the acceptance degree of fuzzy constraints violated, a...

This paper proposes a computational scheme for online classification of process data sets that represent different operation modes of machines and other systems by use of fuzzy similarity analysis. The classification procedure starts with a preliminary given small number of known operation modes (data sets) which constitute the initial size of the Knowledge Base (KB). During the online classifi...