This paper presents the system identification by physical’s law method and designs the controller for the Azimuth Angle Control of the Platform of the Multi-Launcher Rocket System (MLRS) by Root Locus technique. The plant mathematical model was approximated using MATLAB for simulation and analyze the system. The controller proposes the implementation of PID Controller using Programmable Logic C...

The paper presents an approach which combines the formalism of Petri Nets and of model checking in order to deliver correct and dependable PLC programs. Based on SIPNs, a variant of PNs, the complete controller development process from an informal specification to the final implementation on a PLC is discussed. The SIPN formalized according to corresponding plant model enables the derivation of...

The growing interest with the developments of renewable sources owing to less environmental pollution creates challenges for grid operators. Virtual Power Plant (VPP) is a novel concept that will integrate small distributed energy resources and act as single conventional power plant in electricity market. As core management system VPP, should be dispatched optimally achieving maximum profit. Th...

The conveyor is usually used in industries to transport the commodity from one end another, and can use it anywhere. As occurrence of faults affect entire generation power, monitoring security these conveyors important. Using relay logic methods, which have many drawbacks, safety carried out, a new method therefore required. This paper focuses on monitoring, control, against different types usi...

In this research would try to give contribution for researchers or academics about simulation of the railway signaling system. The model system was built using miniature track and train model. Small LED used as a lamp signal. Point machine moved by servo motor controlled Arduino Nano. last, circuit replaced proximity sensor IR transceiver. result showed that could do some basic task which is oc...

This paper contains studies of daily energy production forecasting methods for photovoltaic solar panels (PV panel) by using mathematical and fuzzy logic models. Mathematical models are based on analytic equations that bind PV panel power with temperature radiation. In logic, we use Adaptive-network-based Fuzzy Inference Systems (ANFIS) the zero-order Takagi-Sugeno model (TS) specially selected...