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Adaptive inverse control (AIC) theory is introduced to inhibit interferences such as side wind during hovering control for small-sized unmanned helicopter. Based on this theory, an AIC control block diagram is improved to accommodate with the characteristics of helicopter hovering model and robust design. According to structure and fundamental theory of small-sized unmanned helicopter, a hover flight...
The traditional PID controller and the structure of the Neural Net model adaptive controller are discussed in this paper, and the infection of the parameter to the system performance is the emphasis. The step response of the system and wave symbol is gained. Corresponding control strategy is presented for the pneumatic position control system. Based on this model, compute digital simulation is completed...
In this paper, a nonlinear control system using a fuzzy self tuning Grey predictor based on a PID controller is proposed. Firstly, the PID controller is designed according to the Zieger-Nichos 2 method with fast response and high robustness. Secondly, the grey predictor is suggested to use to estimate the system response in a near future in order to improve the control performance. In addition, the...
This paper presents the use of neural network control approaches for a two inputs -two outputs (TITO) coupled tank liquid levels with disturbances effects and set-point changes in dynamic system. Hybrid PI-neural network (hybrid PI-NN) and PID neural network (PID-NN) controllers are the techniques used in this investigation to actively control the liquid levels of coupled tank system. Unlike traditional...
According to the characteristics of AC motor, by use of model reference theory, established a mathematical model, and deduced the responding control algorithm. Developed the embedded controller with core of ARM7S3C4510B and expanded interface of A/D and D/A. Achieved a closed-loop control of AC motor speed, and gave the experimental results. Comparing with the corresponding results of PID controller,...
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