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In this paper, aiming at a class of time-delay high-order SISO linear systems in process industries, we propose a PI control strategy based on virtual un-modeled dynamics compensation, this method is based on the traditional PI control method, estimating system's virtual un-modeled dynamics by adopting data-driven control method, then design the compensator to eliminate the un-modeled dynamics' negative...
This paper proposes the energy based controller incorporated with fuzzy neural network compensation (ECFNNC), which is used to swing up the Aapdubot and rise it to its uppermost unstable equilibrium position. Firstly, for the known dynamics model of the three-link arm, the energy based controller is designed. In the energy based controller, the singularity is successfully avoided by constructing an...
This paper deals with the maximum power capture control of variable speed wind turbines (VSWT). The control objective is to keep the tip speed ratio at its optimal value by tracking the desired generator rotor speed ratio and further maximize the power coefficient to capture maximum wind power. A PI switching controller based on virtual un-modeled dynamic compensation was proposed to deal with the...
This paper presents a neural network compensator based cascade control dynamics for the nonlinear control of the ball and beam system including actuator dynamics. Firstly, the cascade control structure divides the ball and beam model into two lower order discrete time models and according to the two discrete time models design the inner closed loop controller and the outer closed loop controller....
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