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Ball and beam control system is specially designed to study nonlinear control methodology on an unstable system. The point of the ball is hard to manage because it will move continuously on a beam, makes it becoming open-loop unstable. PID controller had been successfully applied for this application by previous researchers. However, incorporation of fuzzy in the system to facilitate PID tuning could...
A new fuzzy control approach of STATCOM has been designed according to micro-genetic algorithm in this paper. Initial membership functions and control rules of FLC were fast obtained by fuzzy toolbox of MATLAB and selecting input and output observed signals, membership functions and control rules are optimized simultaneously by micro-GA. Simulation experiments for four machines power system with STATCOM...
This paper proposes a polynomial fuzzy control design strategy for synchronizing multi-scroll Chen chaotic systems. At first, the master and slave multi-scroll Chen chaotic systems are transformed into the equivalent polynomial fuzzy models. Then a polynomial fuzzy control is designed to synchronize the master and slave polynomial fuzzy models. In the control design, the polynomial feedback gains...
The triple inverted pendulum is a nonlinear, dynamic and unsteady system. The traditional control methods of triple inverted pendulum have limited control accuracy and slow responding. This kind of pendulum system is difficult to control due to the inherent instability and nonlinear behavior. In this paper, GA-RBF-ARX model is applied to model triple inverted pendulum based on its input/output data...
This study proposes a new sliding mode control strategy based on a fuzzy reaching law to enhance the yaw angle control of a Tail-sitter UAV. First of all, the simplified yaw angle dynamic model is analyzed, then the fuzzy reaching law is designed considering both the chattering reduction and position tracking; finally, the sliding mode control law is designed for the Tail-sitter UAV's yaw angle system...
This paper considers the design problem of fuzzy sliding mode controller for fractional-order (FO) unified chaotic systems. Firstly, in terms of the T-S fuzzy modeling theory, we model the FO unified chaotic systems into T-S fuzzy systems; then with the application of sliding mode control theory, fuzzy sliding mode controller design method is discussed in this paper. The fuzzy sliding mode controller...
Based on the MATLAB, simulation and optimization platform of USV' propulsion system is built, preliminary optimization and simulation analysis of the USV' intelligent propulsion system are carried out. In this paper, we select the optimization analysis of the system control parameters of the fuzzy control system of the high-speed monohull USV as well as 4 parameters including initial pitch, initial...
Underwater vehicle controller design proves difficult for time varying, nonlinear dynamics, coupled model and uncertain flow. Also it is hard to construct the nonlinear coupled uncertain model. Fortunately, we find a simple method to deal with that problem. Variable universe fuzzy control algorithm is superior in model-independent and nonlinear control. Also it is a simple and universal method. It...
Automated vehicles have drawn great attention in research and industry, due to their potential benefits in driving without passengers. Using computer simulation in motion and speed control of the vehicles can reduce errors and costs. Fuzzy logic provides a different way for issues that need to be controlled. This method is concentrated on what the system should do, not on how the works are done. Using...
Through the analysis of fuzzy control theory, automobile ABS system basic fuzzy control strategy is designed, the process and basic thought of fuzzy controller design is discussed in detail. At last, we use Matlab/simulink software to analysis the all model, and the result show that, the controller of this paper designed has good control effect.
A fuzzy formation control method among a group of distributed robots using only local sensing is proposed. A leading robot moves along a predetermined trajectory, and other robots endeavor to establish and then maintain a given geometric shape by regulating the relative distance and bearing to the leader. The distance to be kept is adjusted by fuzzy logic, which outputs the follower's velocity toward...
The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the process is next proposed, and the parameters of the linear model are obtained from an optimization problem solved by a Gravitational Search Algorithm. A PI controller is designed for...
In this paper, energy management control strategies are proposed for hybrid electric vehicle with brushless dual-rotor flux switching permanent magnet (BDRFSPM) motor. The proposed methods not only make the output speed correspond to the working condition, but also make the internal combustion engine operate in the fuel saving mode. The corresponding battery and internal combustion engine performances...
The grain drying process has the characteristics of large time delay, nonlinearity, multi disturbance and strong coupling. In order to reduce the grain moisture content during drying process, to ensure the grain quality of the grain, and enable the uniform moisture content of outlet grain, a new improved controller model for grain drying which called the dual fuzzy self-adjusting immune PID controller...
The breathing adjuster is the core component of life support system of an aircraft and it is very important to control the valve to make the breathing adjuster supply the pilot the mixed air with the suitable oxygen concentration. In this paper the mathematical model, which describes the relation between the opening degree of the valve of the breathing adjuster and the flight altitude of the aircraft,...
University fire safety problems have attracted the rising attention among the public. In view of the fuzzy information of students' fire safety ideology subject, this paper applies the fuzzy mathematics and fuzzy control theory to construct a fuzzy system that divides students' fire safety ideology into weak(W), moderate(M), strong(S) three states to study their dynamic propagation process under Lotka-Volterra...
In this paper a method of fuzzy logic control based on possibly inconsistent if-then rules representing uncertain knowledge or imprecise data is studied. When it is hard to obtain consistent rule bases, we propose the fuzzy logic control based on weighted rules depending on output performances using the neural network and we derive the weight updating algorithm. With the final weight change informations,...
Aiming at the problem of control inflexible and the control algorithm cannot take into account the quick adjustment and accurate control of hardware closed-loop feedback, PID or fuzzy control algorithm in battery testing system, we put forward fuzzy self-tuning PID control algorithm to control charging voltage of lithium ion battery, solving the problem of nonlinear time-varying charging system semaphore...
In the industrial control area, WinCC is widely applied in industrial production process of real-time monitoring control and has become one of the important configuration software. But it is still unable to realize complex control algorithm with shortage of programming language. While Mat lab can deal with large amounts of data with high efficiency with its toolbox and Simulink simulation environment,...
According to the characteristics of two software Labview and Matlab, this paper presents a co-simulation method of Labview and Matlab. This method will combine the advantages of both software by mixing programming and co-simulation. Through the example of Direct Torque Control (DTC) fuzzy controlling, this paper introduces the design of the fuzzy controller in the Labview, and describes a method to...
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