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Magnetic bearings can not only solve the bearing wear and life problems but also reduce the loss and noise of bearings. However, the strong non-linear and uncertainty of parameter of the magnetic bearings make the traditional PID controller difficult to ensure its long-term and stable operation. Based on the T-S fuzzy model, this paper presents a design method of magnetic bearing parallel-distributed...
A intelligent monitor and control system on multi-factor of aquaculture environment based on wireless sensor networks is designed adopting BP neural networks. The system uses wireless sensor nodes to detect a variety of water quality parameters transmitted to the on-site monitoring host computer through sink node wirelessly. The control module consists of fuzzy controller and decoupling neural network...
A fuzzy sliding mode controller based on radial basis function neural network (RBFNN) for permanent magnet synchronous machine (PMSM) is investigated in this paper, in which direct torque control (DTC) concept, variable structure control and space vector modulation (SVM) are integrated to achieve high performance. Fuzzy logic is used to adjust the gain of the corrective control of the sliding mode...
The gyro stabilized platform control is required to isolate the line of sight (LOS) from the disturbance and vibration of carrier and ensure pointing and tracking for target in electro-optical tracking system. A compound adaptive fuzzy PID control with hysteresis-band switching is developed for this servo system with nonlinear property and some uncertainties. Here, in the adaptive fuzzy controller,...
Based on Variable Universe fuzzy control technology with good adaptive and robust capability, a new excitation control strategy for DFIG(doubly fed induction generator) without accurate generator mathematical model is proposed in this paper. Full fuzzy excitation control model is established and analyzed in detail. the whole wind generation system model Was established, simulation results indicate...
In the face of the complex controlled object, environment and control task, the intelligent control methods show the greater advantage and broader development prospects than the traditional ones. The logic foundation of current intelligent control methods are mainly classical logic and fuzzy logic. The classical logic is only suitable for describing the completely opposite binary world. Fuzzy logic...
In this paper, the advantages and disadvantages of traditional PID controller and fuzzy logic controller algorithm were analyzed on the control characteristics of electric furnace. According to the intelligent control theory, fuzzy PID (Fuzzy-PID) compound control was selected to realize intelligent control of electric furnace with two-input and two-output system. Based on real temperature control...
Currently, in the MAC protocol of wireless sensor network, the sender mote sends data with or without receiving acknowledgements (ACK). Although in some applications, people enable the ACK function, they just use the fixed repeat times. In such scenarios, the sender mote does not care about the quality of the channel when they have to send the data. However, in the real world, the channel may not...
Although simple genetic algorithm (SGA) can, to some extent, improve the back propagation neural network (BP), it is prone to prematurity and losing the optimal solutions. Niche technology and fuzzy control theory are introduced to improve SGA and the improved one is used to optimize BP. The improved genetic algorithm is used to optimize BP neural network. In addition, due to the increasingly voltage...
In this paper, a neuro-fuzzy control-based approach is used for networked control systems to overcome the negative effects of the network-induced delays. This approach can timely modify the weights of the adaptive controller to improve control performance. Finally, by modeling networked control system with Matlab truetime toolbox, and the simulation results show that networked control systems based...
Inverted pendulum is a control system, with the feature of high order, muti-variable, non-linearity and unstable naturally. It is quite important for us to study its balance and stability in control engineering field. In this paper, a flywheel inverted pendulum, as an object to be controlled, the dynamic model has been established, and the mathematical model which established has been certificated...
There are many factors, such as temperature, humidity, concentration of oxygen and carbon dioxide, influencing freshness of garden stuff. An intelligent monitoring system was designed to ensure the quality of it. In order to balance the environmental deviation between different areas, the system used multi-channel sensors to cycled check environment. Without effecting control accuracy, the system...
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...
Currently, a large number of clustering algorithms are available for data mining. But it will be difficult for people who to a large extent know little about data mining to select an appropriate clustering algorithm. In order to solve this problem, in this paper, we first comprehensively analyze a number of clustering algorithms, then summarize their evaluation criteria and apply the so-called fuzzy...
This paper describes the design of a fuzzy logic based hurdle avoidance controller for mobile robot navigation in noisy and uncertain environments. The employed controller is a two input, two output system. The inputs to the controller are `distance to hurdle' information from two SRF05 ultrasonic sensors mounted in front of the robot. The outputs from controller are speed commands for two drive wheels...
The fuzzy control theory is applied on reactive voltage control. With voltage and reactive power deviation as its input, and the transformer tap and capacitor switching as its output, MATLAB Fuzzy Logic Toolbox are used to form the fuzzy inference system. NanYi substation in JiangXi is an example. In the TH2100 software simulation, the results show that the control system is stable and reliable, the...
Adaptive stepping sliding mode control strategy for the overload control of anti-ship missiles using Lyapunov's stability theory is proposed. In the first few steps, we assume there exists a virtual actuator, the virtual actuator concept can make the desired value can be easily traced, in the last step, a sliding mode controller is applied to guarantee the robustness of the system. At the same time,...
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