Control Simulation Platform Research Articles

SOSPO-SP: Secure Operation of Sustainable Power Systems Simulation Platform for Real-Time System State Evaluation and Control

New challenges are arising in managing power systems as these systems become more complex due to the use of high levels of distributed generation, mainly based on renewable energy sources, and due to the competitive environment within the power sector. At the same time, the use of phasor measurement units (PMUs) provides more information and enables wide-area monitoring with accurate timing. One of the challenges in the near future is converting the high quantity and quality of information provided by PMUs into useful knowledge about operational state of a global system. The use of real-time simulation in closed loop is essential to develop and validate new real-time applications of wide-area PMU data. This paper presents a simulation platform developed within the research project Secure Operation of Sustainable Power Systems (SOSPO). The SOSPO simulation platform (SOSPO-SP) functions in a closed loop integrating new real-time assessment methods to provide useful information to operators in power system control centers, and to develop new control methodologies that handle emergency situations and avoid power system blackouts.

Iterative Learning Double Closed-Loop Structure for Modeling and Controller Design of Output StochAstic Distribution Control Systems

Stochastic distribution control (SDC) systems are known to have the 2-D characteristics regarding time and probability space of a random variables, respectively. A double closed-loop structure, which includes iterative learning modeling (ILM) and iterative learning control (ILC), is proposed for non-Gaussian SDC systems. The ILM is arranged in the outer loop, which takes a longer period for each cycle termed as a BATCH. Each BATCH is divided into a modeling period and a number of control intervals, called batches, being arranged in the inner loop for ILC. The output probability density functions (PDFs) of the system are approximated by a radial basis function neural network (RBFNN) model, whose parameters are updated via ILM in each BATCH. Based on the RBFNN approximation of the output PDF, a state-space model is constructed by employing the subspace parameter estimation method. An IL optimal controller is then designed by decreasing the PDF tracking errors from batch to batch. Model simulations are carried out on a forth-order numerical example to examine the effectiveness of the proposed algorithm. To further assess its application feasibility, a flame shape distribution control simulation platform for a combustion process in a coal-fired gate boiler system is constructed by integrating WinCC interface, MATLAB simulation programs, and OPC communication together. The simulation study over this industrial simulation platform shows that the output PDF tracking performance can be efficiently achieved by this double closed-loop iterative learning strategy.

Intelligent Train Operation Models Based on Ensemble Regression Trees

Traditional control algorithms in Automatic Train Operation (ATO) system have some drawbacks, such as high energy consumption and low riding comfort. Combined with data mining methods and driving experience, two Intelligent Train Operation (ITO) model s for the subway train control are proposed. Firstly the training data set was sorted out and sieved out from the real train operation data set by drivers in Beijing subway line Yizhuang to establish the standard database. By using Classification and Regression Trees (CART) algorithm and Bagging ensemble learning method which base on CART algorithm , two ITO model s are dug out to represent the output of controller with limited speed, running time and gradient. In the train control simulation platform, ITO models were compared with the traditional PID (Proportional Integral Derivative) control algorithm of ATO systems . The simulation results indicate the proposed ITO models are better than PID control in energy consumption, riding comfort and switching times of controller ’s output. Furthermore, the ITO model with bagging ensemble learning method is better especially in energy consumption and riding comfort.

Moving Target Detection and Tracking Control Simulation Platform

Moving target detection and tracking simulation platform of two-dimensional translational and three axis turntable are used to target the screen drag and three-dimensional angle attitude simulation of the control problem in essence belongs to the electric servo control. In terms of the design of the servo control, motion control platform including hardware design, the control law design of the control system and software design. Detailed describes the motion platform of mathematical modeling, control circuit and the control law design, through simulation and experiment verify the validity of the motion platform control system.

Add Control: plant virtualization for control solutions in WWTP

This paper summarizes part of the research work carried out in the Add Control project, which proposes an extension of the wastewater treatment plant (WWTP) models and modelling architectures used in traditional WWTP simulation tools, addressing, in addition to the classical mass transformations (transport, physico-chemical phenomena, biological reactions), all the instrumentation, actuation and automation & control components (sensors, actuators, controllers), considering their real behaviour (signal delays, noise, failures and power consumption of actuators). Its ultimate objective is to allow a rapid transition from the simulation of the control strategy to its implementation at full-scale plants. Thus, this paper presents the application of the Add Control simulation platform for the design and implementation of new control strategies at the WWTP of Mekolalde.

Research on Analysis and Control Strategy of High Frequency Phenomenon in an Isolated Power Grid

An operation and control simulation platform for isolated power grid are set up, which is based on the detailed models of the boiler, turbine, Coordinated Control System (CCS), Digital Electric-hydraulic Control system (DEH), Overspeed Protection Controller (OPC) and so on. By means of simulation, the accuracy of this platform is verified and the cause leading to high frequency of the isolated power grid is proposed..In addition, the control strategy for high frequency of isolated power grid based on wide area measurement data is proposed.

Application Research of Marine Engine Simulation Teaching Platform

With the development of information technology for equipment investment, loss of large number of teaching support materials consumption experiments, the establishment of education system simulation, simulation laboratory teaching has become a hot issue. This article discusses the design of marine ships built control system and simulation platform. The platform can be used for ship turbines comprehensive experiment. It has integrated a variety of experimental features.

敏捷小卫星对地凝视姿态跟踪控制

The attitude tracking control of staring imaging of an agile small satellite driven by Double-Gimbaled Control Moment Gyroscopes(DGCMG) was investigated.Firstly,an actuator configuration scheme was developed according to the characteristics of agile satellite and the staring imaging mission requirements.Then,the orbit information was used to compute the relative attitude angle and attitude angular velocity of a staring imaging target with respect to the satellite body reference frame,and the proper control law and steering law were introduced to avoid the singularity of Control Moment Gyroscope(CMG).Finally,based on the SY-3 satellite attitude and orbit control simulation platform,the agile small satellite closed-loop control simulation system was established by taking the mission requirements and the actuator adjustments into account and the proposed design scheme and control method were verified in a mathematical simulation.Obtained results show that the presented solution is effective for staring imaging attitude maneuver control of the agile small satellite and the least gimbal angle rate of DGCMG is the most important factor to determinate attitude tracking precision.

An ATC Simulation Platform based Compass Satellite Navigation System

Based real-time, high precision characteristics of satellite navigation system, the aircraft in flight can be continuous and accurate positioned its location. Therefore the interval width of en-route and the interval separation could be reduced. And the reduced flight time, the increased flights, and the high utilization of airspace could meet the development of airline transportation. Thus the free flight could be achieved in near future. The compass satellite navigation system is established by the Chinese regional navigation and positioning system. The system could provide users around the clock, the clock real-time location services, short message service and precision timing services. According to the compass satellite navigation system, an air traffic control simulation platform based compass satellite navigation system has been proposed in this paper. The structure, functions and the future research fields have been introduced in detail. The research of this paper plays an important role to impel applications of air traffic management based compass navigation satellite system.

A hardware in the loop simulation platform for vision-based control of unmanned air vehicles

Design and testing of control algorithms for unmanned air vehicles (UAV’s) is difficult due to the delicate and expensive nature of UAV systems, the risk of damage to property during testing, and government regulations. This necessitates extensive simulation of controllers to ensure stability and performance. However, simulations cannot capture all aspects of a flight control, such as sensor noise and actuator lag. For these reasons, hardware in the loop simulation (HILS) platforms are used. In this paper, a novel HILS platform is presented for vision-based control of UAV’s. This HILS platform consists of virtual reality software to produce realistic scenes projected onto a screen and viewed by a camera. Flight hardware includes an UAV with onboard autopilot interfaced to the virtual reality software. This UAV can be mounted in a wind tunnel, allowing attitude regulation through servoing the airfoils.

The use of simulation in the design of a road transport incident detection algorithm

Automatic incident detection is becoming one of the core tools of urban traffic management, enabling more rapid identification and response to traffic incidents and congestion. Existing traffic detection infrastructure within urban areas (often installed for traffic signal optimization) provides urban traffic control systems with a near continuous stream of data on the state of traffic within the network. The creation of a simulation to replicate such a data stream therefore provides a facility for the development of accurate congestion detection and warning algorithms. This paper describes firstly the augmentation of a commercial traffic model to provide an urban traffic control simulation platform and secondly the development of a new incident detection system (RAID—Remote Automatic Incident Detection), with the facility to use the simulation platform as an integral part of the design and calibration process. A brief description of a practical implementation of RAID is included along with summary evaluation results.