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In this paper, a simple variable integral gain PI controller for a single-phase Inverter is presented. The controller is based on a conventional PI by adding a rule of Fuzzy Logic Control (FLC), the complete mathematical model is derived. Compared with the conventional PI controller, the integral gain of the proposed controller can be adjusted online. The efficacy and feasibility of the proposed methods...
In this paper, a novel fuzzy adaptive backstepping design procedure is proposed for a class of perturbed strict-feedback nonlinear systems with unknown time-varying delays. The fuzzy logic systems are used to approximate the nonlinear uncertainties, then, the adaptive fuzzy tracking controller is constructed by combining Lyapunov-Krasovskii functionals and the backstepping approach. The proposed controller...
For a class of uncertain time-delay nonlinear systems represented by Takagi-Sugeno fuzzy models, the finite-time stabilization problem with exogenous disturbances is discussed. Based on the stochastic Lyapunov-Krasovskii functional approach, a new finite-time stabilization condition is established for such fuzzy systems. By applying linear matrix inequality technique, the finite-time state feedback...
In this paper, a class of chaotic system is considered as multi-variable T-S fuzzy model. Combining impulsive control with fuzzy modelling, some stability criterion of chaotic system are derived. Numerical simulation results show the methods are effective.
A new robust adaptive indirect fuzzy controller is designed based on backstepping method for a class of uncertain nonlinear systems. We proved that the final closed-loop system must be globally stable in the sense that all signals involved must be uniformly bounded and simulation results shows that the closed-loop fuzzy control system is proven to be globally stable, with tracking error converging...
Robust and adaptive controller of the uncertain mobile manipulator with holonomic and non-holonomic constrains is designed. Considering some problems in model reduction by implicit function theorem when the mobile manipulator subjects to holonomic and non-holonomic constrains, an uniform expression of holonomic and non-holonomic constrains is introduced, and then based on the reduced model, a steady...
This paper develops a fuzzy adaptive control system for the collecting main pressure control in coke oven. The collecting main pressure system is a multi-variables, nonlinear system. The disturbance, multi-parameters, and nonlinearities are the major difficulties in the collecting main pressures system. The adaptive fuzzy method is used to solve the problem in this paper. The adaptive fuzzy controller...
In this paper, an indirect adaptive fuzzy controller is developed for a class of uncertain MIMO nonlinear systems. Within this scheme, the fuzzy logic systems are used to approximate the plant's unknown nonlinear functions. The estimated gain matrix is decomposed into the product of one diagonal matrix and two orthogonal matrixes. A robust controller is used to compensate the lumped errors, and all...
A novel adaptive fuzzy decentralized regulation approach is proposed for a class of output-feedback large-scale nonlinear systems with unknown time-varying time-delays and interconnections. Each subsystem is needed only one fuzzy approximator, so the number of employed approximators equal to the number of subsystems of the whole large-scale systems. This is different from the existing results, which...
As the error between the actual compensation current active power filter generates and the reference current signal, fuzzy control method for tracking the reference current according to non-linear structural characteristics of active power filter is proposed. The single-phase system model with rectifier load is built through simulating the integrated Matlab/Simulink software. Finally, the results...
A novel sub-optimal control algorithm based on fuzzy logic system (FLS) to design continuous sliding mode control (CSMC) for uncertain nonlinear systems is presented. By means of combining a fuzzy logic system into sliding mode control, continuous sliding mode control (SMC) can be designed on the derivative of the control signal. The realization of the controller is easier and more convenient than...
Rule number explosion and adaptive weights tuning are two main issues in the design of fuzzy control systems. To overcome the problems, we propose the method of state variable composition, and combine it with adaptive control scheme to tune controller parameters. Furthermore, LQR feedback controller coefficients of double inverted pendulum are used as factors of state variable composition to design...
The accurate control of heavy oil supply temperature is a nonlinear dynamic tracking control problem. In practice, the heavy oil supply temperature accurate dynamic tracking control is very difficult by traditional PID controller. It induced that it is very difficult to ejected atomization and combine with air for heavy oil. So part of heavy oil had not get sufficient combustion. It always leads to...
This paper investigates the problem of static output feedback H∞ control for a class of nonlinear systems via a linear matrix inequality (LMI) approach. The considered system is approximated by the Takagi-Sugeno (T-S) fuzzy model. Based on a Lyapunov functional method, we develop a H∞ control law which makes the closed-loop system is asymptotically stable with guaranteed H∞ performance. In contrast...
This paper concerns the exact modeling and asymptotic synchronization problems of a class of new 3-dimensional four-wing chaotic systems. Firstly, we present the accurate T-S fuzzy models for the considered 3D four-wing chaotic systems. Then, based on the exact T-S fuzzy representation of the considered 3D four-wing chaotic systems and the parallel distributed compensation technique, a T-S fuzzy feedback...
In this paper, linear elevator driven by permanent magnet synchronous linear motor (PMLSM) is used in fuzzy PID control method, in which it is to adopt the magnetic guidance system to control the PMLSM gap which changed frequently, and it can impact the vertical thrust and control the level vibration and noise in the process of start, operation, and stop to make passenger comfortable. Matlab modeling...
The magnetic levitation device which has non-contact characteristics, is used to replace the traditional guiding equipment, it would be applied in linear elevator to maintain a constant air gap of linear motor, and to eliminate mechanical vibration. In order to solve nonlinear problems of maglev device, feedback linearization control and fuzzy sliding mode control method is adopted to control the...
In this paper, a new fuzzy control scheme for generalized projective synchronization of chaotic systems has been presented based on Takagi-Sugeno (T-S) fuzzy model and parallel distributed compensation (PDC). This method allows us to arbitrarily direct the scaling factor onto a desired value. Some simple but efficient criteria are derived for generalized projective synchronization of chaotic systems...
The tracking maximum wind energy of wind power generation system is analyzed and the corresponding simulation model is established. An intelligent control method based on fuzzy control theory is put forward. The method utilizes nonlinear control model of fuzzy system to solve the difficulties of precise control. In order to ensure the wind power generation system captures the maximum wind energy and...
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