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There is need and scope of controlling the power consumed by conventional electric lamps in presence of some natural light. An artificial intelligence based control system has been developed to control a lamp dimmer circuit with bidirectional triode thyristor. The light present in the room is sensed and voltage supplied to the lamp is controlled by varying the time constant of the circuit through...
This research work presents supervised Artificial Intelligence based control technique for an inverted pendulum. The inverted pendulum system is a classic control problem that is used in research. It is a suitable process to test prototype controllers due to its high non-linearities and lack of stability. Most traditional controllers (feedback linearisation, rule based control) are based around an...
This paper discusses artificial neural network (ANN) controlled superconducting magnetic energy storage (SMES) unit for improvement of transient stability of a power system under various system operating conditions and different fault conditions. The inputs to the ANN controller are the deviation in rotor angular velocity Δω of the machine connected to faulted-bus and the voltage deviation Δν of the...
In this paper, a new methodology for feed forward-feedback control system design is proposed. Initially, the concept of control equilibrium point is introduced. Using this concept, the steady state control command is determined so as to maintain the desired situation of the system. Non-model-based feed forward control law is conducted on this basis using an artificial neural network. The feedback...
In this paper, a general design approach based on the concept of `Control Equilibrium Point' is proposed to derive the feedforward control law in feedback-feedforward control systems. The feedback controller generates the transient control command and the feedforward controller generates the steady state command. In order to reduce the reliance on the mathematical model of the system, an artificial...
In this paper, a new kind of intelligent PID control method based on BP neural network is presented and a complex neural network PID controller is designed. The NN controller has strong self-adaptability and self-learning abilities. Experimental results on different complex objects prove that, the control method has better performances than traditional PID controller. The system using neural network...
The precise variation of the magnetorheological (MR) damping force in a semi-active suspension is a key issue in order to assure the desired performances over a suspension control system. The open loop control of this force is a very common strategy. Other schemes propose adaptive controller alternatives while the automotive hardware is a constrained computation resource. This paper proposes the implementation...
In this paper, speed controller based on artificial neural networks ANN and fuzzy logic controller FLC for vector control of AC motors is used. In the case using ANN controller, the tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the command speed. The controller is an adaptive and based on a nonlinear autoregressive...
Aiming at the complex dynamic feature of large ship, an intelligent control structure based on library-similar knowledge-increasable neural network group is presented. This compounded control structure using the dynamic knowledge increasable learning capability of the neural network groups, solve the problems of online identification and online design of the controller, so that the high precise output...
In this paper, speed controllers based on artificial neural networks for vector control of AC motors are used. Tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the commanded speed. The controller is adaptive and is based on a nonlinear autoregressive moving average (NARMA-L2) algorithm. A comparative study...
To solve the problems of torque ripple and inconstant switch frequency of inverter in the conventional direct torque control (DTC) for permanent magnet synchronous motor (PMSM) drive, a novel DTC method using space vector pulse width modulation (SVM) is proposed based on analysis of PMSM mathematical model. In this novel DTC system of PMSM , traditional torque hysteresis controller and flux hysteresis...
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