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This paper propose an asynchronous impulsive control scheme for consensus of second-order multi-agent systems. The proposed control scheme do not require time synchronization among agents. Each agents has its won clock to determine the impulsive instants. By using discretization approaches and the stochastic matrix theory, it is find that the stability of the proposed control scheme depends on the...
This paper presents an intelligent multi-area power control with dynamic knowledge domain inference concept. The ongoing operational shift leads to unacceptable states variation, which may result in power oscillations, and if the controllers are not suitably designed, the system may be interactive and oscillations can aggravate. The study reports a new concept of updating control parameters, which...
The control of unmanned combat system of systems (SoS) needs fusion centralized control, cluster distribution control and platform autonomous control, because of its distributed, networked and unmanned characteristics. Based on the hierarchical idea and the OODA control loop, this paper proposes a cognitive based multi-level command and control (C2) architecture about unmanned combat SoS (CB-MLC2A),...
Aiming at the power quality problems such as voltage sag caused by grid connection of distributed generation, this paper presents a new control scheme based on Buck-Boost transform circuit. Pulse width modulation control and adaptive closed-loop voltage feedback control are applied to the voltage on the contactor coil. The working principle and process of the system are introduced in detail and the...
The product quality of rice whitening process has largely dependent on operation experiences, which is a key problem for this type of food processing systems that might lead to variability in the final product quality. An intelligent automatic control system has been proposed for rice whitening machines based on expert database system. The new control system replaces the traditional mechanical actuators...
A quantum self-organization synergetic effect extracted from intelligent fuzzy controller's knowledge database is described. Aforementioned technology improves a robustness of intelligent control systems in unpredicted control situations. A number of examples demonstrate the possibility of neurointerface application based on cognitive helmet with a quantum fuzzy controller for a vehicle driving. As...
Unmanned Aircraft Systems, UAS, have seen unprecedented levels of growth during the last decade. Projections and expectations for future UAS utilization span a very wide and diverse spectrum of civilian and public domain applications, in addition to the obvious military applications, from emergency response, to environmental monitoring, early fire detection and forest protection, to name but a few...
Controlling the motion of a group of unmanned flight vehicles (FVs) in a perturbed environment is considered on the example of two similar problems: tracking of the dynamic target and moving along the given path. The problem of the target tracking implies that a randomly-arranged FV group approaches close to the target and flies near it during a specified time period. The low-velocity target seeks...
A significant amount of electric energy is produced applying regenerative braking in railway systems. The optimum use of this energy can improve the energy consumption efficiency in a railway Traction Power Supply Substation (TPSS). This paper presents a new method restoring the Regenerative Braking Energy (RBE) to the distribution grid and converting TPSS as a microgrid. In the proposed strategy,...
In accordance with the current trend of Industry 4.0, we propose in this paper a newly designed hardware (HW) and software (SW) cooperative control system for a die-cutting machine tool with flexible punching functionality. Different from conventional PCL-based die-cutting machine tools where most cutting functionalities are pre-programmed in the hardware circuits, the proposed PC-based system integrates...
Design and implementation of a PEM fuel cell controller presented. The intelligent controller design is based on a neuro-fuzzy algorithm. The implemented system has successfully controlled the air mass flow rates of the fuel cell stack using labview programming. The real-time data shows the effectiveness of the proposed smart controller algorithm.
Controlling a grain dryer plant is a challenging task because of its complex drying mechanism. The aim of this paper is to investigate effective control strategies for a newly designed grain dryer plant, and to optimize the control performance, such as the overshoot, accuracy, and anti-disturbance abilities. In this paper, a genetically optimized fuzzy immune proportional integral derivative controller...
The greenhouse is designed to recreate an environment wherein the temperature, humidity and light are monitored and adjusted to optimize the conditions of plant cultivation. Based on monitoring platform of crop growth environment and information management need of the control agriculture greenhouse, an precision agriculture greenhouse based on IoT and fuzzy was designed. The system uses a fuzzy control...
The paper describes research and development of innovative intelligent speech interaction systems between mobile lifting devices and their human operators, which use patterns and antipatterns of commands. A general processing scheme, using several functional modules, for the human-machine interactive communication has been presented, covering also the integration with vision and sensorial systems...
Focusing on the current issues like the complexity in design, high energy consumption, high costs etc., this article presents a project including a 2KW proton exchange membrane fuel cell control system's design and implementation which takes STM32 MCU as a core control unit. This system adopts industrial sensors to collect all varieties of parameters of the fuel cell, achieving the hydrogen supply,...
Feeder reconfiguration has been researched from past few years for optimal planning of primary power distribution system (PDS) with objectives of minimizing the overall system cost and power loss. Till now the research work done for simultaneous reconfiguration of the secondary with primary PDS are very less. The proposed methodology incorporates both primary and secondary reconfiguration simultaneously...
Power Systems are inherently non-linear systems that are frequently subjected to various disturbances causing oscillations at low frequencies that may lead to instability. Generators are usually provided with power system stabilizers minimize the effect of these oscillations. The objective of this paper is find the optimal parameters for a conventional “lead-lag compensator based Power System Stabilizer...
For online control of various dynamical systems, an adaptive artificial neural network (ANN) based proportional integral derivative (PID) controller is developed. For linear time invariant processes, conventional PID controller is suitable but they have limitations when they are required to control the plants having high non linearity or their parameters are changing with the time. In order to find...
In the paper there are presented the problems of optimal control for indoor thermal comfort in classroom equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such HVAC control systems allows to minimize the energy consumption and to maximize microclimate comfort sensation. There are discussed the results of modeling the classroom using building...
Hydraulic trench cutter has been widely used in diaphragm wall excavating. The control system of trench cutter has been described. Based on the intelligent control and energy saving technology, the three most important hydraulic circuits of trench cutter could work cooperatively to save more fuel. Finally the relevant experiment was carried out, which has been proved satisfied with the design expectation...
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