THE PURPOSE. Development and analysis of control systems for cargo movement mechanisms that do not contain a speed sensor in their structure. The use intelligent devices the implementation sensorless systems. study proposed solutions closed-type order to identify most optimal option provides best performance according criteria, this case, accuracy testing. METHODS. It is possible achieve these ...

The article proposes and analyzes the structure of neurocontroller for controlling vibratory drive adaptive vibrating technological machines (AVTM), which allows to implement a two-circuit neurocontrol system energy parameters AVTM that its each circuit takes into account inertial dissipative characteristics. By monitoring phase shift between frequency forced oscillations working body cyclic fo...

A common technique in neurocontrol is that of controlling a plant by static state feedback using the plant's inverse dynamics, which is approximated through a learning process. It is well known that in this control mode even small approximation errors or, which is the same, small perturbations of the plant may lead to instability. Here, a novel approach is proposed to overcome the problem of in...

Neural stimulation can be used as a tool to elicit natural sensations or behaviors by modulating neural activity. This can be potentially used to mitigate the damage of brain lesions or neural disorders. However, in order to obtain the optimal stimulation sequences, it is necessary to develop neural control methods, for example by constructing an inverse model of the target system. For real bra...

A new adaptive neural network controller for robots is presented. The controller is based on direct adaptive techniques. Unlike many neural network controllers in the literature, inverse dynamical model evaluation is not required. A numerically robust, computationally efficient processing scheme for neural network weight estimation is described, namely, the inverse QR decomposition (INVQR). The...

The ball-and-beam problem is a benchmark for testing control algorithms. In the World Congress on Neural Networks, 1994, Prof. L. Zadeh proposed a twist to the problem, which, he suggested, would require a fuzzy logic controller. This experiment uses a beam, partially covered with a sticky substance, increasing the difficulty of predicting the ball's motion. We complicated this problem even mor...

There are many factors that can affect the calciner process of cement production, such as highly nonlinearity and time-lag, making it very difficult to establish an accurate model of the cement precalciner kiln (PCK) system. In order to reduce transport energy consumption and to ensure the quality of cement clinker burning, one needs to explore different control methods from the traditional way...

А functional diagram of the skidding prevention system was built, a mathematical model an asynchronous electric drive vehicle and neuro-regulator synthesized. The motor is selected according to equivalent power method, standard urban WLT cycle taken as basic cycle. mechanical part built taking into account possibility simulating slippage each driving wheels separately with different coupling co...

This paper addresses the fault detection of a cracked cantilever beam using a hybrid artificial intelligence technique. The hybrid technique used here uses a fuzzy-neuro controller. The fuzzy-neuro controller has two parts. The first part is comprised of the fuzzy controller, and the second part is comprised of the neural controller. The input parameters of the fuzzy controller are relative dev...