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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...
A global sliding mode variable structure controller based on fuzzy logic is adopted to Permanent magnet Synchronous Motor. First,. the controller can ensure sliding behavior throughout an entire response, we can specify the demands on the capability of the system to achieve a desired performance. Moreover, the control law is based on equivalent control, in which the function sign(·)is substituted...
In the area of fuzzy control for civil structures, how to generate fuzzy rules for structural vibration control is a key issue. In this paper, a dynamic fuzzy neural network (DFNN) algorithm is adopted to extract fuzzy rules based on the sample data obtained from the performance of the system under optimal control algorithm. First, the structure and algorithm of DFNN is introduced. Then, a fuzzy controller...
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...
The control strategy is one of the key technologies for hybrid electric vehicle, for it directly affects the performance of the whole vehicle. In ISG hybrid system, the torque from engine and motor are coupled at one shaft. The configuration and basic requirements of ISG hybrid system are analyzed in detail in this paper. An Electric Assist Control Strategy based on the ISG HEV is proposed and the...
As the near space atmospheric environment is complicated and variational, aircraft electric propulsion system parameters and load characteristics of the propeller will be changed, if the control method of electric propulsion system shall not be treated, the system stability and reliability will be affected. A novel double close loops control method with current and speed was presented in this paper,...
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...
A fuzzy sliding-mode robust controller with feed forward compensation is designed for grid-connected photovoltaic system. First, a integral sliding-mode controller is designed by exponential approach law to accelerate the system's starting phase, and for improving the stability of the system, the output of the sliding-mode controller is soften by fuzzy controller to reduce the flicking of the sliding-mode...
This paper presents TSK interval type-2 fuzzy neural network (TSK IT2FNN)and its learning algorithm for chaotic time series prediction. First, The structure of TSK IT2FNN is decided using the hierarchical fuzzy clustering algorithm. Then its parameters of the precondition membership function and consequence weight are optimized using the gradient descent algorithm. Finally the effectiveness of IT2FNN...
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...
In this paper designs a TCSC fuzzy PID impedance controller, according to TCSC current capacitance error and change rate for erroneous, used the dynamic regulation PID parameter for fuzzy inference system, which has overcome the insufficiency for conventional PID control, strong the robustness and enhance the control quality. And, by joins the immunity feedback element, further proposed the control...
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...
So far, most of the proton exchange membrane fuel cell (PEMFC) models are difficult to apply in the control system design. In this paper, a dynamic control model of PEMFC system is set up. Based on this model, a self-adaptive fuzzy PID controller and a PID controller are respectively used to control the output voltage. The simulation results show that, this adaptive fuzzy PID controller can control...
This paper present an implementation of fuzzy logic controller (FLC) on a field programmable gate array (FPGA) system for managing the traffic of two or more elevator group control system. The proposed design responds to a new hall call by determining the most suitable car based on an evaluation function computed for each car. The car with the lowest value of evaluation function is selected to serve...
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...
Aimed at the problem of multi-objective optimization, solution on the oversaturated signalized intersection by using fuzzy logic control (FLC) is presented. The essential and characteristics of multi-objective optimization in urban traffic signal control are analysed. The performance measures of minimizing average delay, stop times and average queue length are established, according to the initial...
In order to analyze the dynamic performance and estimate fuel cost of automobile in the city streets, a simulation model of automobile is constructed and examined. Then the driver comfort is optimized by using this model. To better evaluate the driving characteristics of automobile in the city, the fuzzy logic method simulating the driver's handing process is introduced. A few fuzzy driving rules...
Coke oven heating system is the large inertia, nonlinear, time delay, time-varying coupling and models difficult to accurately establish characteristics. A feedforward, feedback and combination of fuzzy adaptive PID control strategy is proposed. A fuzzy controller is designed to achieve. The controller has three kinds of control over the advantages. Coke oven heating system for fast response, anti-disturbance...
This article firstly describes the principle of control strategy and puts forward a torque-balancing control strategy for the hybrid electric public bus. Based on the designed control strategies, the simulations are carried out and the results are analyzed under different conditions, and the torque-balancing control strategy was improved on the basis of the efficiency-first ideas of the hybrid system...
Temperature control in Variable Air Volume (VAV) air conditioning systems is a complicated process. Either the traditional Proportional Integral Derivative (PID) controller or the Fuzzy Logic Controller (FLC) is hard to get better control performance. The combination control system with fuzzy control and PID control can improve the control performance. Based on the conventional Fuzzy-PID (FPID) controller,...
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