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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...
Water level in boiler drum is nonlinear, large time-varying, strong-coupling and multivariable. On the basis of establishing mathematical model of the regulation of boiler drum water level, fuzzy control theory is used for designing the control system for water level in the boiler drum, fuzzy control and PID control are respectively used for controlling water level in the drum. At the same time, design...
Fuzzy control was used to control a vertical rotary invert-pendulum with single fulcrum due to its complex characteristics in this paper. Movable equation of the inverted pendulum was derived, according to the dynamics analysis method of Lagrange. By system feasible approximation, an easily analytical math model was deduced. At the same time, the fuzzy logical tool package of MATLAB was used to build...
The hybrid electrical vehicle (HEV) has draw researchers' attention recently. This paper mainly discusses the control strategy of HEV based on fuzzy logic. By using this control strategy, the work space and work efficiency of engine are optimized, which play a vital role on improvement of the operation performance of HEV. Meanwhile, the strategy has been applied to optimize the power balance of battery,...
The fuzzy control algorithm that carries on the intelligent control twelve phases three traffic lanes single crossroads traffic light, works well in the real-time traffic flow under flexible operation. The procedures can be described as below: first, the number of vehicles of all the lanes can be received through the sensor, and the phase with the largest number is stipulated to be highest priority,...
The problems about load control system of combine and its hardware implementation are discussed. The load control system based on intelligent fuzzy control is set up. The controller is simulated on MATLAB/SIMULINK. A hardware implementation about load control system of combine based on VHDL and FPGA is proposed. According to top-down mode, the VHDL modular design of the controller is carried out,...
For the defects of conventional direct torque control (DTC) system of switched reluctance motors (SRM), RBF neural network (RBFNN) and fuzzy adaptive PID controller are applied to direct torque control system of SRM in the paper. Switching state table is replaced by RBFNN; fuzzy adaptive PID controller is applied to the outer loop for speed adjustment. In order to verify the validity of the method,...
In this paper a method of designing the rule bases of fuzzy controllers for Wheel Slide Protection Systems (WSP) for rail vehicles is presented. In this method results of simulation of two reference controllers are used, both of which use signals which are nor available during normal operation of the systems, i.e. adhesion coefficient and translation velocity of the vehicle. Simulations have performed...
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...
Based on research of the phase plane division control method, according to the structure of wheel loader steer by wire system and its work condition, the fuzzy five states control system specially designed for wheel loader steer by wire system is introduced in this paper. To verify its performance, the controller was simulated in MATLAB/SIMULINK based on the model of wheel loader steer by wire system...
The LC filter introduced to the AC side of three-phase current source PWM rectifier, brought leading power factor. In addition, because of the nonlinearity of the PWM rectifier, the satisfactory effect could not be obtained with the traditional PID control system under larger disturbance and changes of controlled object. This paper described the technology of Combining traditional PID control with...
According to the basic structure of the aircraft landing gear, through the mechanical analysis, we established the mathematical model of the aircraft landing gear of semi-active damping system, and a linear interpolation method was applied in the fuzzy controller queries to adjust the PID parameters automatically. We have used the Matlab / Simulink control system simulation software for aircraft landing...
The control function of configuration software is researched and developed based on the application of laboratory project in this paper. A program of the fuzzy control algorithm is designed and simulated. Then the designed fuzzy control algorithm is embedded to the InTouch of the configuration software by the DDE communication protocol. The results show that the dynamic data exchange between InTouch...
Taking error and error rate of change as input, this paper realized the online slef-tuning of PID parameter with the method of fuzzy inference, and made a modeling design and simulation on the controller in the Matlab environment, and realized the non-linear processing to PID controller and the non-linear mapping between the changes of system characteristics and controlled variables. This hybrid system...
According to Variable rate fertilization control requirements, the amount of fertilizer application was automatically controlled by the fuzzy- PID control algorithm, and the fuzzy-PID progress control system was simulated by Simulink and Fuzzy of MATLAB. Its application in actual device shows that, comparing normal PID control, the method has effectively kept the amount of fertilizer application range,...
Under the control object and the structure of control system built, we set the range of parameters and the objective function and get the best parameters of PID control of the system by genetic algorithm, making use of MATLAB we can do the modeling and simulation of the PID control and fuzzy control. The results of simulation show that the dynamic response of fuzzy control is faster than PID control...
This paper describes a position control of 2 degrees of freedom (DOF) XY Piezo Actuator Stage (XY PAS) with Feedforward Neural Network (FNN) and additional Particle Swarm Optimization (PSO) approach, which is used as an improved learning method for optimizing the weights of FNN rather than just the standard technique of back-propagation of errors.
Fuzzy-PID control is used in the Variable rate fertilization controlling system and the rule of the fuzzy control is determined. Based on the dynamic model of the Variable rate fertilization controlling system, MATLAB/Simulink is applied to simulate the torque and the rotation speed of the engine. The experimental results indicate that the proposed method is of simple arithmetic and real-time characteristics...
In this paper, we propose a Fuzzy-PID composite parameters' controller. Fuzzy control based on human language and habits of mind belongs to Intelligent Control, is applicable in automatic control field in complex system without accurate mathematic model. However, general fuzzy controller has steady-state static error. While PID can eliminate static error and principle is simple, easy to use and good...
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