STRUCTURAL ANALYSIS OF ON-BOARD MULTIMODE AUTO TRACKING SYSTEM

2021 ◽  
pp. 3-11
Author(s):  
V. V. Sheval ◽  
A. I. Kimyaev
Keyword(s):  
Control System ◽  
Flight Control ◽  
Tracking System ◽  
Optoelectronic Device ◽  
Control Mode ◽  
Tracking Systems ◽  
Math Model ◽  
Complex Control ◽  
Tracking Mode ◽  
Channel Structures

Two variants of two-channel structures of tracking systems has been introduced into consideration, which are sequentially used in two modes of operation of the on-board automatic tracking system. Taking into account the fact of quantization according to the level of signals for measuring the angles of mismatch of each of the channels, it is justified to use not one, but two different structures in the second auto-tracking mode. Using mathematical modeling, the expediency of increasing the number of two-channel structures from two to three, used in a single auto-tracking process according to the criterion of the provided dynamic accuracy, have been demonstrated. This paper presents a two-channel structures investigation for tracking systems operating in tracking mode of maneuverable targets, taking into account various systems of carrier operations. Considered multichannel complex control system (CCS) structure that include precise channel (PC) and coarse channel (CC). CC use the carrier and the flight control system (FCS) to make rude tracking. The PC function implemented by an optoelectronic device (OED) has placed in a traditional angular mechanical suspension, which act with high accuracy. Described three CCS operation modes classified by target mark fall inside or outside direction finder (DF) CC or PC field of view. At the capture mode can be used only information from the CC DF. At the complex control mode becomes possible to use information from both CC DF and PC DF. At the precision mode, it is advisable to use information only from the PC DF. Developed CCS functioning math model to check main points of this work. Math model makes possible to carry out simulation tests for each mode in a separate operation, as well as when they are integrated into a single complex automatic target tracking mode. Has been described efficiency factor as the total time of satisfactory accuracy relative to entire experiment time. On math model modes efficiency has compared to each other. As result precision mode have higher efficiency and capture mode lowest. As conclusion recommended use a precision mode to achieve higher accuracy at auto tracking tasks.

A Simulation Research of Artificial Intelligence Control

2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Method ◽  
Control Mode ◽  
Simulation Research ◽  
Loop Control ◽  
Complex Control ◽  
Intelligence Control ◽  
And Control ◽  
Specific Control

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.

scholarly journals An Automatic Thrust Calculation Method in Case of Engine Gear Missing in Flight Control Simulation System

2018 ◽  
Vol 36 (6) ◽  
pp. 1116-1120
Author(s):  
Zeyu Kang ◽  
Yongmei Cheng ◽  
Xiaodan Cui ◽  
Hui Li ◽  
Huibin Wang
Keyword(s):  
Control System ◽  
Flight Control ◽  
Calculation Method ◽  
Speed Control ◽  
Weight Coefficient ◽  
Linearization Method ◽  
Flight Simulation ◽  
Control Mode ◽  
Control Simulation ◽  
Speed Control System

The paper proposes an automatic thrust calculation method in the case of engine gear missing. The trimmed linearization method is used to calculate the equivalent throttle opening between the two gears. An automatic thrust calculation method is presented which uses the equivalent throttle opening as weight coefficient. The speed control system which has introduced the equivalent throttle opening is designed, and the speed is controlled through the combination of the speed control system and the vertical speed control system. In this way, four basic modes are realized in flight simulation——climb, glide, given the yaw angle, given the roll angle, and the special speed control mode. It takes A320 aircraft for an example, the aerodynamic parameters and the Idletrust and Miltrust coefficients are obtained from JSBSim. Carry out flight control simulation on the above modes by building aircraft flight simulation model through Simulink. The results of the flight speed control show that the proposed method can achieve precise control of the speed in multi-flight modes.

The Solar Automatic Tracking Fuzzy PID Control System Based on ARM

2011 ◽  
Vol 143-144 ◽  
pp. 391-395
Author(s):  
Jing Yan Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Control Mode ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Automatic Tracking ◽  
Tracking Mode ◽  
Angle Deviation

To improve tracking precision and increase the utilization of solar energy, the solar automatic tracking fuzzy PID control system based on ARM is designed. Embedded microcontroller 32-bit ARM processor is the core. A kind of mixed tracking mode is adopted, and it combines photoelectric tracking mode and solar trajectory tracking mode. In the solar trajectory tracking mode, the fuzzy PID segmented tracking control method is put forward. The fuzzy control and PID control are combined to control the system. If the system's angle deviation is large, PID control is adopted, else fuzzy control is adopted. And the controller can be automatically switched control mode according to the size of angle deviation. Matlab simulation results indicate that the solar automatic tracking system with fuzzy PID control has a good dynamic characteristics and high tracking accuracy, effectively improves the photoelectric conversion efficiency.

Research Progress of Solar Auto-Tracking System – Solar Hybrid Tracking Mode

2013 ◽  
Vol 706-708 ◽  
pp. 985-989 ◽  
Author(s):  
Lin Jun Wang ◽  
Jing Men ◽  
Lei Shao ◽  
Dong Zhang ◽  
Wei Liu
Keyword(s):  
Control System ◽  
Solar Energy ◽  
Tracking Control ◽  
Closed Loop ◽  
Tracking System ◽  
Open Loop ◽  
Space Distribution ◽  
Research Progress ◽  
Human Beings ◽  
Tracking Mode

Making the best of solar energy is an important way for human beings to solve energy shortage. Although solar energy is the ideal alternative energy source, its disadvantages, such as low density, intermission and no change of space distribution, not only make it difficult to be collected and used, but also give a higher request to the tracking control system. In order to solve the problem of low utilization ratio of solar energy, it is significant to improve the precision and stability of the tracking system. This paper introduces the working principles and characteristics of the open loop, closed-loop and hybrid tracking mode firstly, the design of hybrid tracking control system is presented next. The solar hybrid tracking mode integrates the advantages of open loop and closed-loop tracking mode, and it can solve the problem of sensor tracking mode which cannot work in the cloudy day and the problem of program tracking mode which exists the accumulation error. As a result, it keeps higher precision and stability under all-weather conditions, and has a broad prospect.

Automation Surprise

2017 ◽  
Vol 7 (1) ◽  
pp. 28-41 ◽  
Author(s):  
Robert J. de Boer ◽  
Karel Hurts
Keyword(s):  
Flight Control ◽  
Representative Sample ◽  
Aviation Safety ◽  
Control Mode ◽  
Cognitive Errors ◽  
Laboratory Studies ◽  
Airline Pilots ◽  
Flight Operations ◽  
Widespread Phenomenon ◽  
Few Data

Abstract. Automation surprise (AS) has often been associated with aviation safety incidents. Although numerous laboratory studies have been conducted, few data are available from routine flight operations. A survey among a representative sample of 200 Dutch airline pilots was used to determine the prevalence of AS and the severity of its consequences, and to test some of the factors leading to AS. Results show that AS is a relatively widespread phenomenon that occurs three times per year per pilot on average but rarely has serious consequences. In less than 10% of the AS cases that were reviewed, an undesired aircraft state was induced. Reportable occurrences are estimated to occur only once every 1–3 years per pilot. Factors leading to a higher prevalence of AS include less flying experience, increasing complexity of the flight control mode, and flight duty periods of over 8 hr. It is concluded that AS is a manifestation of system and interface complexity rather than cognitive errors.

GPS and GSM Based Tracking System for Objects Moving over Wide Geographical Areas

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fatima Ameen ◽  
Ziad Mohammed ◽  
Abdulrahman Siddiq
Keyword(s):  
Global Positioning System ◽  
Mobile Communications ◽  
Moving Objects ◽  
Tracking System ◽  
Geographical Area ◽  
Tracking Systems ◽  
Acceptable Result ◽  
Internet Service ◽  
Global Positioning ◽  
Tracking Objects

Tracking systems of moving objects provide a useful means to better control, manage and secure them. Tracking systems are used in different scales of applications such as indoors, outdoors and even used to track vehicles, ships and air planes moving over the globe. This paper presents the design and implementation of a system for tracking objects moving over a wide geographical area. The system depends on the Global Positioning System (GPS) and Global System for Mobile Communications (GSM) technologies without requiring the Internet service. The implemented system uses the freely available GPS service to determine the position of the moving objects. The tests of the implemented system in different regions and conditions show that the maximum uncertainty in the obtained positions is a circle with radius of about 16 m, which is an acceptable result for tracking the movement of objects in wide and open environments.

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