scholarly journals TWQH Attitude Control Experiments on Horizon Ground Simulator and Flight Test

2020 ◽  
Vol 12 (1) ◽  
pp. 183-198
Author(s):  
Stefan Eugen STOIAN ◽  
Dragos Daniel ION-GUTA ◽  
Sandra Elena NICHIFOR ◽  
Florentin SPERLEA ◽  
Achim IONITA
Keyword(s):  
Attitude Control ◽  
Pid Controller ◽  
Flight Test ◽  
Simulation Results ◽  
The Stability ◽  
Wind Perturbation

This paper presents the results of two experiments on the Horizon ground simulator and outdoor flight test of TWQH hybrid UAV in presence of wind perturbation. The simulation results show the stability and error boundedness of the PID controller while the experimental inflight tests indicate the good performances of the proposed controller.

Dynamic modeling and design of controller for the 2-DoF serial chain actuated by a cable-driven robot based on feedback linearization

2021 ◽  
pp. 095440622110279
Author(s):  
Vahid Bahrami ◽  
Ahmad Kalhor ◽  
Mehdi Tale Masouleh
Keyword(s):  
Dynamic Modeling ◽  
Pid Controller ◽  
Feedback Linearization ◽  
Tracking Error ◽  
Pid Controllers ◽  
Serial Chain ◽  
Simulation Results ◽  
The Stability ◽  
Feedback Linearization Approach ◽  
Bounded Disturbance

This study intends to investigate a dynamic modeling and design of controller for a planar serial chain, performing 2-DoF, in interaction with a cable-driven robot. The under study system can be used as a rehabilitation setup which is helpful for those with arm disability. The latter goal can be achieved by applying the positive tensions of the cable-driven robot which are designed based on feedback linearization approach. To this end, the system dynamics formulation is developed using Lagrange approach and then the so-called Wrench-Closure Workspace (WCW) analysis is performed. Moreover, in the feedback linearization approach, the PD and PID controllers are used as auxiliary controllers input and the stability of the system is guaranteed as a whole. From the simulation results it follows that, in the presence of bounded disturbance based on Roots Mean Square Error (RMSE) criteria, the PID controller has better performance and tracking error of the 2-DoF robot joints are improved 15.29% and 24.32%, respectively.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Nonlinear Immune PID Controller and its Application to the Heat Milling System’s Material-Level Control

2011 ◽  
Vol 383-390 ◽  
pp. 743-749
Author(s):  
Jiu Qing Liu ◽  
Wei Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Feedback Mechanism ◽  
Control Technique ◽  
Level Control ◽  
Stability Robustness ◽  
Nonlinear Pid Controller ◽  
Simulation Results ◽  
And Performance ◽  
The Stability

Based on the fusion of immune feedback mechanism for the conventional PID control technique, a new immune nonlinear PID controller is proposed in this paper. The stability of immune nonlinear PID is analysised using Popov stability criterion. The controller designed not only guarantees the stability robustness and performance robustness of the system but also the tracking performance of the system. The numerical simulation results of the Material-level control of the heat milling system show the effectiveness and feasibility of our immune unlinear PID are verified in Mat lab.

Design and Simulation Analysis of Tamper System for Multifunction-Paver

2011 ◽  
Vol 268-270 ◽  
pp. 875-880
Author(s):  
Guo Yang Wu
Keyword(s):  
Simulation Model ◽  
Vibration Frequency ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Response Speed ◽  
Hydraulic Impact ◽  
Simulation Results ◽  
The Stability

In this article, the tamper system of multifunction- paver has been simulated by AMESim, and the simulation model of the tamper system of multifunction- paver has been established. The simulation results show that the hydraulic impact of the system will be decreased and the response speed of the system will be improved, when accumulator and PID controller are equipped. Simultaneously, the stability of vibrated system will go down with the increase of vibration frequency. When vibration frequency is over 20 HZ, the performance of system will go bad, and the vibration of system will be significantly enhanced.

Simulation Technologies for Tamper System of Asphalt-Paver Based on AMESim

2010 ◽  
Vol 129-131 ◽  
pp. 1098-1103 ◽  
Author(s):  
Tian Hong Luo ◽  
Xin Fu Gan ◽  
Wen Jun Luo
Keyword(s):  
Mathematical Model ◽  
Simulation Model ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Operating Principle ◽  
Simulation Results ◽  
The Stability ◽  
The Mathematical Model

Tamper mechanism is one of the most important parts in all of Asphalt-pavers. In this article, the mathematical model of the tamper system has been established and the stability of the system has been analyzed by using Matlab. According to the operating principle of tamper system of Asphalt-paver, the simulation model of tamper system of Asphalt-paver has been established by using AMESim. The main parameters of the model were set, and then, the simulation results were analyzed, which show that the system is stable and the dynamic performance of system will be improved, when accumulator and PID controller were equipped. Besides, the tamping frequency of hammer is very important to the performance of system. When tamping frequency of hammer over 20HZ, the performance of system will go bad.

scholarly journals The Stability of the Model and Simulation, Control Issues for Ship System, Education, and Research

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Nguyen Cong Danh
Keyword(s):  
Pid Controller ◽  
Control Methods ◽  
Control Parameters ◽  
Ship Model ◽  
Model And Simulation ◽  
Simulation Results ◽  
Research And Education ◽  
The Stability ◽  
Operation Cycle ◽  
Selection Of

This article deals with the study of mathematical models and the assessment of the stability of the motion of ships, investigating properties of the system such as kinetics and stability. This is essential for the selection of suitable control methods according to the requirements set out for the problem. Some control methods require the author to specify control parameters before the operation of the system can be started. Therefore, the survey of the article is useful for the above problem. Control methods through simulation results (PID controller, lag compensator, and lead compensator) give me results that reflect properties of the system (the stability of the operation cycle of the ship model). In addition, control methods for this model, which serve for research and education, are also presented below. Simulation is done by Matlab.

Application of the K-Means Immune Particle Swarm Optimization Algorithm in the Steam Generator Water Level Control

2014 ◽  
Vol 981 ◽  
pp. 534-537
Author(s):  
Gui Min Sheng ◽  
Yu Cui Xue ◽  
Bo Yang Zhang
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Nuclear Power ◽  
Power Plants ◽  
Adaptive Method ◽  
Level Control ◽  
Adjustment Time ◽  
Selection Parameter ◽  
Simulation Results ◽  
The Stability

The Stability of SG water level plays an important role in the safety of nuclear power plants, but tuned the parameter of water level PID controller is hard. Proposed a novel algorithm, KIPSO, which tuning PID controller parameters. Determine the cluster centre through K-means value cluster algorithm, and take the cluster territory as the characteristic value of vaccine set, enhance the vaccine multiplicity. Updated vaccine extraction by self-adaptive method, improved the convergence and adaptability. Analyzed the algorithm robustness in detail, and gave the rule which the immunity selection parameter. The simulation results shows: compares with the PID controller whose parameters are tuned by ZN method, KIPSO have a smaller overshoot, a better stability, and a shorter adjustment time. The simulation results show that the proposed method is effective for tuning PID parameters.

scholarly journals Supervising Control for Unmanned Aerial Vehicles

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Saeed ur Rehman Sarwar ◽  
Saeed ur Rehman
Keyword(s):  
Attitude Control ◽  
Pid Controller ◽  
Wind Shear ◽  
Logic Simulation ◽  
Atmospheric Disturbance ◽  
Atmospheric Disturbances ◽  
Small Uav ◽  
The Status ◽  
Simulation Results ◽  
Human Thinking

A small UAV is considered as a test UAV, and its already published aerodynamic data is used for its modeling. Proportional Integral Differential (PID) controller is designed for pitch attitude control. Atmospheric disturbances such as wind shear and turbulence significantly influence the attitude of UAVs. For this study rotary gust is considered as atmospheric disturbance. Pitch response in presence of atmospheric disturbance is presented. In order to improve the performance in presence of atmospheric disturbance, a supervisory mechanism is proposed. Supervisory mechanism is composed of two modules, “observer module” and “correction generator module.” The human thinking like logic is developed for observer module so that it keeps monitoring the status of flight through specified inputs and outputs from the system and instructs the correction generator module to augment main controller by adding compensation commands. Correction generator module works on fuzzy logic. Simulation results show significant reduction in pitch errors after augmenting the supervisory mechanism, hence proving the efficacy of proposed scheme.

scholarly journals Prediction and Stability Assessment of Soft Foundation Settlement of the Fishbone-Shaped Dike Near the Estuary of the Yangtze River Using Machine Learning Methods

2021 ◽  
Vol 13 (7) ◽  
pp. 3744
Author(s):  
Mingcheng Zhu ◽  
Shouqian Li ◽  
Xianglong Wei ◽  
Peng Wang
Keyword(s):  
Extreme Learning Machine ◽  
Prediction Models ◽  
Good Prediction ◽  
Foundation Settlement ◽  
Machine Method ◽  
Settlement Prediction ◽  
Soft Foundation ◽  
Simulation Results ◽  
Learning Machine ◽  
The Stability

Fishbone-shaped dikes are always built on the soft soil submerged in the water, and the soft foundation settlement plays a key role in the stability of these dikes. In this paper, a novel and simple approach was proposed to predict the soft foundation settlement of fishbone dikes by using the extreme learning machine. The extreme learning machine is a single-hidden-layer feedforward network with high regression and classification prediction accuracy. The data-driven settlement prediction models were built based on a small training sample size with a fast learning speed. The simulation results showed that the proposed methods had good prediction performances by facilitating comparisons of the measured data and the predicted data. Furthermore, the final settlement of the dike was predicted by using the models, and the stability of the soft foundation of the fishbone-shaped dikes was assessed based on the simulation results of the proposed model. The findings in this paper suggested that the extreme learning machine method could be an effective tool for the soft foundation settlement prediction and assessment of the fishbone-shaped dikes.

scholarly journals Latency-Optimal Computational Offloading Strategy for Sensitive Tasks in Smart Homes

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2347
Author(s):  
Yanyan Wang ◽  
Lin Wang ◽  
Ruijuan Zheng ◽  
Xuhui Zhao ◽  
Muhua Liu
Keyword(s):  
Queue Length ◽  
Optimization Problem ◽  
Time Slot ◽  
Smart Homes ◽  
Back Pressure ◽  
Smart Devices ◽  
Smart Device ◽  
Simulation Results ◽  
Computational Offloading ◽  
The Stability

In smart homes, the computational offloading technology of edge cloud computing (ECC) can effectively deal with the large amount of computation generated by smart devices. In this paper, we propose a computational offloading strategy for minimizing delay based on the back-pressure algorithm (BMDCO) to get the offloading decision and the number of tasks that can be offloaded. Specifically, we first construct a system with multiple local smart device task queues and multiple edge processor task queues. Then, we formulate an offloading strategy to minimize the queue length of tasks in each time slot by minimizing the Lyapunov drift optimization problem, so as to realize the stability of queues and improve the offloading performance. In addition, we give a theoretical analysis on the stability of the BMDCO algorithm by deducing the upper bound of all queues in this system. The simulation results show the stability of the proposed algorithm, and demonstrate that the BMDCO algorithm is superior to other alternatives. Compared with other algorithms, this algorithm can effectively reduce the computation delay.

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