Performance Analysis of Adaptive Control Technique for Aircraft Gas Turbine Engine

2017 ◽  
Vol 9 (4) ◽  
Author(s):  
S. Ganesan ◽  
R. Jaganraj ◽  
G.M. Priyadharshini
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Aircraft Engine ◽  
Control Technique ◽  
Atmospheric Conditions ◽  
Turbine Engine ◽  
Time Operation ◽  
Real Time Operation ◽  
Speed Mode ◽  
Discharge Pressure

This paper presents an adaptive control technique to compensate the thrust variation in an aircraft engine whose performance has been disturbed due to atmospheric conditions. The course of dysfunction appears when a large throttle transient is performed such that the engine switched from low to high speed mode. A relationship is observed between engine disturbance and the overshoot in engine shaft rpm or compressor discharge pressure or turbine temperature, which is determined to cause the thrust variation. This relationship is used to adapt a control. This method works very well up to the operability limit of an engine. Additionally, the type of disturbance identified from sensors data will be useful to implement the adaptive control in real time operation.

Rotating Shape Modeling with SPIDAR

1992 ◽  
Vol 4 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Makoto Sato ◽  
◽  
Shun-ichi Numazaki ◽  
Yukihiro Hirata ◽  
Hiroshi Kawarada
Keyword(s):  
High Speed ◽  
Real Space ◽  
Shape Modeling ◽  
Deformation Model ◽  
3 Dimensional ◽  
Human Interface ◽  
3D Objects ◽  
Time Operation ◽  
Real Time Operation ◽  
Object Models

To develop a human interface for shape modeling of 3-dimensional (3D) objects, it is necessary to construct a “virtual workspace” where we can directly manipulate object models as in real space. We have proposed Space Interface Device for Artificial Reality (SPIDAR) for a virtual workspace. Using SPIDAR, we can operate in a virtual workspace with visual and force sensation. We have developed a rotating shape modeling system that simulates a turntable similar to that used for modeling clay. For real-time operation, we have considered object volume and have proposed an algorithm of high-speed and natural deformation model under the condition of constant volume.

High-Speed Adaptive Control of a Robot Manipulator

1990 ◽  
Vol 2 (1) ◽  
pp. 22-27
Author(s):  
Yohji Okada ◽  
◽  
Eiichi Suzuki ◽  
Kenichi Matsuda ◽  
◽  
...  
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Robot Manipulator ◽  
Control Technique ◽  
Robot Dynamics ◽  
3 Dimensional ◽  
Fast Motion ◽  
Property Changes ◽  
Driving Torque ◽  
The Mathematical Model

One of the biggest problems of realizing fast motion of a robot manipulator is its dynamic reflection. The driving torque calculated from the mathematical model compensates well for this reflection, but the dynamic property changes according to the clamped load and arm position. This paper introduces a high-speed adaptive control technique using identification. First, the manipulator is controlled only by a planned trajectory. A time series identification is then applied to estimate the robot dynamics. The inverse transfer function is used to calculate the actuating signal which produces the highspeed motion of the next cycle. The proposed technique is applied to 3-dimensional positioning of a multijoint manipulator.

scholarly journals A Kalman Filter-Based Kernelized Correlation Filter Algorithm for Pose Measurement of a Micro-Robot

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 774
Author(s):  
Heng Zhang ◽  
Hongwu Zhan ◽  
Libin Zhang ◽  
Fang Xu ◽  
Xinbin Ding
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
High Speed ◽  
Correlation Filter ◽  
Moving Targets ◽  
Vision Measurement ◽  
Time Operation ◽  
Micro Robot ◽  
Real Time Operation ◽  
Inter Frame

This paper proposes a moving-target tracking algorithm that measures the pose of a micro-robot with high precision and high speed using the Kalman filter-based kernelized correlation filter (K2CF) algorithm. The adaptive Kalman filter can predict the state of linearly and nonlinearly fast-moving targets. The kernelized correlation filter algorithm then accurately detects the positions of the moving targets and uses the detection results to modify the moving states of the targets. This paper verifies the performance of the algorithm on a monocular vision measurement platform and using a pose measurement method. The K2CF algorithm was embedded in the micro-robot’s attitude measurement system, and the tracking performances of three different trackers were compared under different motion conditions. Our tracker improved the positioning accuracy and maintained real-time operation. In a comparison study of K2CF and many other algorithms on Object Tracking Benchmark-50 and Object Tracking Benchmark-100 video sequences, the K2CF algorithm achieved the highest accuracy. In the 400 mm × 300 mm field of view, when the target radius is about 3 mm and the inter-frame acceleration displacement does not exceed 5.6 mm, the root-mean-square error of position and attitude angle can satisfy the precision requirements of the system.

scholarly journals MODELS OF SYSTEMS OF QUASIPERIODIC PROCESSES BASED ON CYLINDRICAL AND CIRCULAR IMAGES

2021 ◽  
Vol 23 (1) ◽  
pp. 103-110
Author(s):  
V.R. Krasheninnikov ◽  
◽  
O.E. Malenova ◽  
O.E. Malenova ◽  
A.Yu. Subbotin ◽  
...  
Keyword(s):  
Aircraft Engine ◽  
Random Processes ◽  
Atmospheric Temperature ◽  
Periodic Process ◽  
Adaptive Procedure ◽  
Computational Costs ◽  
Time Operation ◽  
Hydroelectric Unit ◽  
Object Based ◽  
Real Time Operation

The behavior of objects in many practical situations has a quasiperiodic character - the presence of noticeable periodicity with random variations of quasiperiods. For example, noise and vibration of an aircraft engine, hydroelectric unit, seasonal and daily fluctuations in atmospheric temperature, etc. In this case, the object can have several parameters, therefore the object is described by a system of several time series, that is, several random processes. The emerging monitoring tasks (assessing the state of an object and its forecast) require setting a model of such a system of processes and identifying it for a particular object based on the results of its observations. In this paper, to represent a quasi-periodic process, an autoregressive model is used in the form of sweeps of several cylindrical or circular images along a spiral. Choosing the values of a small number of parameters of this model, one can describe and simulate a wide class of systems of quasiperiodic processes. The problem of identifying a model is considered, that is, determining the values of its parameters at which it, in a certain sense, best corresponds to the actually observed process. This problem is solved using a pseudo-gradient adaptive procedure, the advantage of which is its real-time operation with low computational costs.

Real-Time Vibration Suppression and Composite Adaptive Control of Coordinated Motion for Space Flexible Manipulator

2010 ◽  
Author(s):  
Zhaobin Hong ◽  
Chen Li
Keyword(s):  
Adaptive Control ◽  
Real Time ◽  
Vibration Suppression ◽  
Flexible Manipulator ◽  
Coordinated Motion ◽  
The Real ◽  
Inertial Parameters ◽  
Time Operation ◽  
Real Time Operation ◽  
Composite Adaptive Control

The real-time vibration suppression and composite adaptive control of coordinated motion for space flexible manipulator with an attitude-controlled base are studied. The dynamic equations of the system are developed by using the Lagrangian assumed modes methods. It is verified that the dynamic equation and Jacobi matrix of the system can be linearly dependent on a group of inertial parameters. Based on the results and with the augmentation approach, a composite adaptive control of space flexible manipulator to track the desired trajectory is developed. Considering the dynamics of flexible subsystem, a control scheme is presented to suppress the vibration during the real-time operation. In particular, it doesn’t require measuring the position, velocity nor acceleration of the base because of an effective exploitation of the particular property of the system dynamics. The numerical simulation is carried out, which confirms the controller proposed is feasible and effective.

scholarly journals A Network-Based Method to Analyze EMI Events of On-Board Signaling System in Railway

2020 ◽  
Vol 10 (24) ◽  
pp. 9059
Author(s):  
Meng Li ◽  
Yinghong Wen ◽  
Guodong Wang ◽  
Dan Zhang ◽  
Jinbao Zhang
Keyword(s):  
High Speed ◽  
Electromagnetic Compatibility ◽  
Graph Model ◽  
System Level ◽  
Train Control ◽  
Modeling Process ◽  
Time Operation ◽  
Measurement Results ◽  
Real Time Operation

The On-board Train Control System (OTCS) plays an important role in the real-time operation of the electric multiple units (EMU) in high-speed railway. The EMU is a complex system made up of various electrical and electronic equipment, so the interactions of the electromagnetic (EM) environment and OTCS are difficult to study, which leads to more challenges to analyze EM interference (EMI) events at the system level. To overcome this difficulty, this paper proposes the thought of a graph model to solve the problem. First, a framework is proposed to more clearly reflect the relationship between the EMC (Electromagnetic Compatibility) problem and network through a comparison with them. Second, a network theory-based model is presented to express the EMC elements for the OTCS in EMU. It decomposes the OTCS and EMU with EMC elements into edges and nodes of the network, which parameters are defined corresponding to EM sources, sensitive equipment, and coupling paths. Thus, each part could be modeled separately or together by calculation, simulation, or measurement, respectively, and the EMC problem could be represented by the paths from origin to destination in the network. Moreover, the modeling process was elucidated by the specific cases in OTCS and the validity of the proposed approach was verified by calculation and measurement results in the case study.

Vision-Controlled Robot Using Hand Pose Estimation without Marker Loading Requirement

2012 ◽  
Vol 162 ◽  
pp. 358-367
Author(s):  
Kiyoshi Hoshino
Keyword(s):  
Pose Estimation ◽  
High Speed ◽  
Visual Servoing ◽  
Hand Pose Estimation ◽  
Orthogonal Relationship ◽  
Time Operation ◽  
Real Time Operation ◽  
Hand Region ◽  
Detailed Search ◽  
Hand Pose

The author proposes a visual-servoing and vision-controlled robot. It claims no sensors installed or special control means used, instead of that a high-precision and high-speed 3D hand pose estimation permits real time operation with two cameras installed at positions of loosely orthogonal relationship, using one PC of the normal specifications. Two cameras have their own database. Once sequential hand images are recorded with these two high-speed cameras, the system first selects one database with bigger size of hand region in each recorded image. Second, a coarse screening is carried out according to the proportional information on the hand image which roughly correspond to wrist rotation, or thumb or finger extension. Third, a detailed search is performed for similarity among the selected candidates. The estimated results are transmitted to a robot so that the same motions of an operator is reconstructed in the robot without time delay.

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