In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based Predictiv...
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This paper explains the whole process of making a system for remote control of a robot arm with five degrees of freedom (DOF). For this purpose a hardware structure was fully designed and implemented. The hardware str...
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This paper describes indoor temperature regulation. Indoor environment temperature regulation is most frequent type of regulation. To achieve this goal a small scale model was built with software support as well. This...
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Coordinated systems of multiple mobile manipulators can be much more flexible than single mobile manipulator in order to accomplish complex and changeable tasks. In this paper, sliding-mode control strategies are used...
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The paper presents a new approach to control of the reactive power supply from renewable energy sources to the grid. The aims of control algorithm are: maximal power extraction from the wind or solar power and its inj...
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In this paper a 2D systems setting is used to develop new results on modeling and the stability analysis of electrical multi element ladder circuits from the repetitive process standpoint.
ISBN:
(纸本)9781467302180
In this paper a 2D systems setting is used to develop new results on modeling and the stability analysis of electrical multi element ladder circuits from the repetitive process standpoint.
A correct diagnostics together with the early prediction of failure or malfunction of the system are the major issues in modern maintenance. Nowadays, the time-honored diagnostics may be inadequate and lead to omittin...
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Many undergraduate students find it difficult to learn, understand and conceptualize some of the the basic topics of signal processing and analysis theory such as: analog and digital signals, frequency domain, Fourier...
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This article deals with the application and realization of the warehouse stacker crane control, which is a model of a real warehouse system. The control was realized by a PLC (Programmable Logic controller) system tha...
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ISBN:
(纸本)9781618040312
This article deals with the application and realization of the warehouse stacker crane control, which is a model of a real warehouse system. The control was realized by a PLC (Programmable Logic controller) system that is controlling the EPOS 24/5 (Easy to Use Positioning System) units. The communication between the PLC system and EPOS units is provided by an industrial CAN (controller Area Network) bus. This solution of the stacker crane control can be used as an illustration of a similar solution for a real warehouse. The solution will be applied in the educational process for students, which will be interested in PLC systems, and industrial CAN bus.
A new method for the direct adaptive regulation of unknown nonlinear dynamical systems is proposed in this paper,paying special attention to the analysis of the model order *** method uses a neurofuzzy (NF) modeling o...
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A new method for the direct adaptive regulation of unknown nonlinear dynamical systems is proposed in this paper,paying special attention to the analysis of the model order *** method uses a neurofuzzy (NF) modeling of the unknown system,which combines fuzzy systems (FSs) with high order neural networks (HONNs).We propose the approximation of the unknown system by a special form of an NF-dynamical system (NFDS),which,however,may assume a smaller number of states than the original unknown *** omission of states,referred to as a model order problem,is modeled by introducing a disturbance term in the approximating *** development is combined with a sensitivity analysis of the closed loop and provides a comprehensive and rigorous analysis of the stability *** adaptive modification method,termed ‘parameter hopping’,is incorporated into the weight estimation algorithm so that the existence and boundedness of the control signal are always *** applicability and potency of the method are tested by simulations on well known benchmarks such as ‘DC motor’ and ‘Lorenz system’,where it is shown that it performs quite well under a reduced model order ***,the proposed NF approach is shown to outperform simple recurrent high order neural networks (RHONNs).
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