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This paper presents a nonlinear control method by combining adaptive-network-based fuzzy inference system (ANFIS) with multiple models for a class of uncertain discrete-time nonlinear systems with unstable zero-dynamics. The proposed method is composed of a linear robust controller, an ANFIS-based nonlinear controller, and a switching mechanism using multiple models technique. The method in this paper...
A novel high performance torque control scheme for switched reluctance motors(SRMs) is proposed based on online fuzzy neural network modeling and adaptive sliding-mode current control. Firstly, an adaptive neural fuzzy inference system(ANFIS) is designed to learn the nonlinear static position-torque-current characteristic and the flux-linkage characteristic of an SRM offline. Then each phase torque...
Because of the strong non-linearity and uncertainty, the dynamics restraints of autopilots, as well as the effects of wave disturbances, designing a high performance ship course controller is always a difficult work. In order to solve the difficulty, an active disturbance rejection nonlinear control strategy is proposed, and the fuzzy controller is used to modify parameters of ADRC online which improve...
In the structural vibration control, the object often has time-varying and non-linear characteristics, and its exact model is difficult to establish. Due to lack the ability of learning and regulating online, traditional fuzzy control using fuzzy reasoning also has obvious limitations. Adaptive fuzzy control method based on variable universe has advantages such as no need for exact models, fast response,...
This paper focuses on the reconfigurable flight control problem of aircraft with control effectors failures and damages. The architecture of the reconfigurable control system based on control capability evaluating and reference model adapting is presented firstly. And the baseline control law is designed by the dynamic inversion method. Based on the concept of attainable moments, the control capability...
Fuzzy logic is wildly used in many fields in the recent years. It is also the theoretic base of fuzzy control. A novel fuzzy state space representation and implementation method is prompted in this paper. The new method employs the concepts of state space which achieved great success in the modern control theory and uses matrix to represent fuzzy models including the fuzzification, inference mechanism,...
In the conventional variable universe fuzzy control system, it was hard to select the function models of the contraction-expansion factors and parameters of the models. A new variable universe fuzzy control algorithm, to achieve the contraction-expansion of universes by fuzzy neural network in place of the function models, was proposed in this paper. The algorithm, with the semantic characteristics...
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