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In the present work, artificial neural network (ANN) has been used to identify a servo-driven inverted pendulum system. The inverted pendulum is a benchmark problem of nonlinear multivariable system with inherent instability. The multi variable system has been considered with servomotor supply voltage as the input and four states of the system being the outputs. An LSVF controller has been used to...
Abrasive water jet is one of the advanced green machining tools and its advantages are well known. In order to obtain a product with high surface quality, the abrasive water jet machining process must be precisely controlled. Based on the artificial neural network, a model for the abrasive water jet cutting stainless steel process was built. The artificial neural network was then trained based on...
It is a trouble thing to build theoretical model for stir characteristics of screw axis with variable diameters and different pitches, so a called PSO-BP neural network (NN) model was employed. In this mode, particle swarm optimization (PSO) algorithm is used to train weights and thresholds of artificial neural network instead of BP algorithm, to overcome drawbacks of BP algorithm. To avoid the slow...
Considering that the pretreament of refractory gold concentrate is a complex and nonlinear process, it is necessary to develop a new route for optimum control and management. In this study, artificial neural network (ANN) was adopted. Particle size (50-335 ??m), reaction temperature (25-85??C), nitric acid concentration (10-30%, wt.), stirring speed (400-800 rpm) and reaction time (10-90 min) were...
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