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Tuning of a pH process is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. Hence, a nonlinear control strategy based on sliding mode, which is a standard approach to tackle the parametric and modeling uncertainties of a nonlinear system, is chosen for tuning a pH process. Fuzzy Sliding Mode Control (FSMC) as a robust and intelligent...
The aim of this paper is to study the tuning of a PID controller using soft computing techniques. The methodology and efficiency of the proposed method are compared with that of traditional methods. Determination or tuning of the PID parameters continues to be important as these parameters have a great influence on the stability and performance of the control system. The results obtained reflect that...
This paper develops a ANFIS controller design method for temperature control in plastic extrusion system. The plastic extrusion process control system uses first order transfer function. Plastic extrusion system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range subjected to various disturbances. The plastic extrusion system compresses of couple effects,...
Inverted Pendulum is a nonlinear, coupling, variable and naturally unsteady system. In order to control the system, the mathematic model through lag range equation was set up and the LQR Controller was designed in this paper. Last, the author analyzes the control results and obtains superior parameters through simulation. The experimental results show that LQR control is more effective and robust.
This paper studies a design of Sliding Mode Control (SMC) for Negative Output Elementary Super Lift Luo Converter (NOESLLC) operated in Continuous Conduction Mode (CCM). The NOESLLC performs the voltage conversion from positive DC source voltage to negative DC load voltage. In order to improve the dynamic performances of NOESLLC for both static and dynamic specifications, we propose a sliding mode...
In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design objective is to improve both rotor angle stability and system voltage profile. The proposed ANFIS controller combines the advantages of fuzzy controller...
Linear design methods for state-quantity observers are used dominantly for power-electronic systems. The main reasons are the problems related to advanced approaches - namely complexity and the high time effort of the necessary stability prove and the design process. In observer and control design, the special characteristics of power-electronic systems are often neglected. The robustness and the...
In order to solve the problem that the membership functions of traditional fuzzy control are difficult to be determined, a new method (fuzzy network) of fuzzy control is proposed. Fuzzy network adopted the network structure in which the membership functions, control rules, fuzzy reasoning and defuzzification process are included. Compared with the fuzzy neural network, fuzzy network don't need learning...
In this paper, we consider a complex dynamical network with time-varying delays. We prove that the dynamical complex network is synchronized if the delays satisfy the linear matrix inequality. In addition, we analyze the synchronization of the given network based on the coupling configuration matrix and the delays of the synchronous target. Some simulations illustrate our theoretical results.
This kind of control systems wherein the control loops are closed through a real time communication network can be called networked control systems. Networked control system is a new hot topic in the control engineering. The reduction of bandwidth necessitated by the communication network in a networked control system is a major concern. For this reason, a computation method of reducing the number...
This paper proposes a method of designing a single neuron adaptive controller, which combines single neuron structure with ant system algorithm. Single neuron structure can implement functions of adaptive and self-learning by adjusting weighting parameters. However, the value of neuron proportional coefficient and the learning rates parameters will affect the performance if they are selected inappropriately...
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...
In this paper, we present the structure and design of an air bearing stage. First, a spherical air bearing system (SABS) is introduced in the alignment of nano-imprinting. Secondly, the eddy current is used to control the SABS over-coming the frictionless motion. Thirdly, an adaptive algorithm is designed for estimating the unknown model parameters. Finally, an experimental platform is setup and the...
This paper presents a speed controller for an interior permanent magnet synchronous motor (IPMSM) based on adaptive backstepping method. IPMSM speed is acquired through extended-EMF method, which is simple to achieve and has a good dynamic performance. A novel nonlinear control strategy, backstepping, is used to design speed tracking and current controllers. The system can achieve fast speed tracking...
Using the neural networks algorithms to control automatically is one important direction in intelligent vehicle's steering control. This paper presents the installation, mechanical design and processing of intelligent vehicle electronic steering control system. According to the characteristics of intelligent vehicle, the neural networks steering control model is designed, programmed and implemented...
The coal mine detect and rescue robot is used for detecting the explosion environment of coal mine and rescuing miners who are trapped in the underground coal mine after gas explosion. Coal mine is a dangerous place in which many fatal factors menace miners' life, especially when blasts occurred. Rescue crews usually don't know the actual situation of the mine tunnel under such circumstances. Therefore...
This paper investigates the development and evaluation of a intelligent control system for a wood drying kiln process incorporating DRNN (Diagonal Recurrent Network) and proportional-integral-derivative (PID) control such that the moisture content of lumber will reach and be stabilized at the desired set point. A description of the dynamics of the wood drying process by means of the DRNN is also presented...
This paper is concerned with the guaranteed cost fault tolerant control of networked control systems with both time-varying network-induces delay and data dropout. Using LMI approach, new criteria are proposed for the networked guaranteed cost controller design. The new criteria are irrelevant to the bound of the derivative of the delay, no constrain is imposed to the matrix structure. A numerical...
Aiming the deficiency of control performance of existing traffic signal controller, we finish whole design of intelligent traffic signal controller based on MPC8245 processor and Hard Hat Linux kernel. After designing minimum system of MPC8245, we extend Compact PCI bus so as to finish video capture, network communication, and serial communication utilizing all kinds of PCI card. In our systems we...
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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