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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...
This paper focuses on the wheel loader steer by wire system. For the reasons of the feature of the big variation range of steering resistance and the input flow, the serious non-linear, using the hybrid-fuzzy controller which combining the conventional PID and fuzzy controller together. This paper introduces the structure of steer by wire system, mathematical model of the system, the design process...
Summary form only given. Much of the commercial success of fuzzy logic as used in fuzzy logic systems (FLSs) is due to extrinsic properties of the fuzzy logic, namely to the systems with defuzzification. Since the first engineering application pioneered by Mamdani, until now, FLS control systems are mere function approximators and interpolators conveniently and intuitively built using FLSs. The same...
In this paper, a new direct adaptive interval type-2 fuzzy controller is proposed to synchronize between two different chaotic time-delay systems with noisy training data or rule uncertainties. Based on the adaptive time-delay interval type-2 fuzzy logic systems in which linguistic fuzzy control rules can be directly incorporated into the controller and by adjusting weights, centers and widths, the...
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...
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...
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...
This paper studied the Fuzzy-PID control strategy for AC arc furnace electrode regulator system. Based on the classical PID control, this paper used the basic theories and methods of Fuzzy Mathematics to adjust the PID parameters, realized the Fuzzy-PID control strategy, applied it in electrode regulator system and then made the simulation. The simulation results showed that the control strategy of...
This paper describes a kind of temperature control system which is composed of PLC. Fuzzy control algorithm was used for the system. The basic structure of fuzzy control, parameter design, and system software and hardware design was expounded. In this system, fuzzy control achieved reasonable optimization of heating time and saving electric energy of the heating element. In practical applications,...
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,...
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...
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...
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...
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...
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...
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...
The key point of the network control systems is that conventional generalized predictive control algorithm cannot deal with random delays, packet losses and vacant sampling. In this paper, the time-stamped multivariable generalized predictive control (TSMGPC) was proposed to deal with this problem. The TSMGPC used time-stamped to calculate the real delay, and the LMS algorithm to estimate the induced...
In this paper, the chaotification problem of a class of stable smooth-air-gap permanent magnet synchronous motor (PMSM) system is investigated. First, the smooth-air-gap PMSM plant is exactly represented by a simple T-S fuzzy model with a few fuzzy rules. Then, a nonlinear delayed feedback controller is designed by parallel distributed compensation technique. In addition, it is proved that the chaos...
Fuzzy controller shows different responses depending on the size of the linguistic variables. Therefore, the choice of appropriate linguistic variable is an important part of the design of fuzzy controller. However, since fuzzy controller is nonlinear, it is difficult to analyze mathematically the affection of the linguistic variable. In this paper to analyze the effect of linguistic variables, the...
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