On Integral Control Laws Improvement for Lengthways Pitch Angle Displacement System

2012 ◽  
Vol 468-471 ◽  
pp. 933-936
Author(s):  
Dong Cao ◽  
Dong Cai Qu ◽  
Shao Wu Dai ◽  
Jin Yong Yu
Keyword(s):  
Control System ◽  
Collocation Method ◽  
Pitch Angle ◽  
Simulation Platform ◽  
Matlab Simulation ◽  
Control Laws ◽  
Integral Control ◽  
Simulation Results ◽  
Displacement System

In order to improve the control capabilities of aero lengthways angle displacement system, the system’s integral control laws improvement design were done by the zeroes and poles collocation method. Based on the matlab simulation platform, a kind of improved controller was designed, and enhanced the control system’s stability precision. Simulation results show that improved control system and it’s integral control laws had gotten the more satisfying control capabilities.

scholarly journals Development and Evaluation of Bus Operation Control System Based on Cooperative Speed Guidance

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jing Teng ◽  
Weimin Jin
Keyword(s):  
Control System ◽  
Dwell Time ◽  
Traffic Signal ◽  
Actual Data ◽  
Simulation Platform ◽  
Large Interval ◽  
Operation Control ◽  
Simulation Results

Buses often have strong bunching or large interval tendency when traveling further along the route. To restrain this further deterioration of operation service, this paper developed a bus operation control system to dynamically adjust bus speed, bus dwell time, and traffic signal timings along the running path. In addition, a simulation platform was developed to evaluate the proposed control system with the actual data collected from bus route number 210 in Shanghai. The simulation results show that the proposed control system can mitigate the amplification trend of the headway deviation along the route to produce headways within a given tolerance.

Active Vibration Control for Lathe Based Neural Network

2011 ◽  
Vol 84-85 ◽  
pp. 183-187 ◽  
Author(s):  
Jin Hua Wang ◽  
Wen Juan Huang ◽  
Hong Yan Zhang ◽  
Yao Gang Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Vibration Control ◽  
Active Vibration Control ◽  
System Model ◽  
Matlab Simulation ◽  
Model Based ◽  
Active Vibration ◽  
Simulation Results ◽  
Control System Model

In this paper, we took lathe as the research object, and established an active vibration control system model based on neural network AVC (Active Vibration Control) system, and the Matlab simulation results showed that the AVC system can reduce vibration effectively and improve the lathe’s accuracy.

Telerobot Control System with Petri Net-Based Multi-Control Modes Transfer in Due Time

2008 ◽  
Vol 392-394 ◽  
pp. 278-282
Author(s):  
Bo You ◽  
Dong Jie Li ◽  
Jiang Yan Qiu
Keyword(s):  
Control System ◽  
Petri Net ◽  
System Control ◽  
Matlab Simulation ◽  
State Evaluation ◽  
Current Task ◽  
Simulation Results

Man-machine cooperative teleoperation and multi-control modes transfer in due time are the key problems that the telerobot system must deal with. That is the intelligence of the operator and the robot in the system should be distributed appropriately according to the current task state. The current task state of the telerobot system should be evaluated to solve these problems. So the telerobot control system is built with current task state evaluation after analyzing system control modes. For the control modes transfer in due time, its Petri Net (PN) model is built and it is simulated with the Stateflow module of Matlab. Simulation results show the validity and rationality of the model.

Design of a Semi-Real Simulation Platform for the Cold Rolling Mill

2013 ◽  
Vol 395-396 ◽  
pp. 1243-1247
Author(s):  
Gang Zheng ◽  
Bin Ma ◽  
Zhe Yang ◽  
Ding Liu
Keyword(s):  
Control System ◽  
Cold Rolling ◽  
Rolling Mill ◽  
Rolling Force ◽  
Milling Process ◽  
Simulation System ◽  
Simulation Platform ◽  
Cold Rolling Mill ◽  
Online Data ◽  
Simulation Results

We designed a semi-real simulation platform for the cold rolling mill that was composed of Simulation Computer, Simulation System of Field Signal, AGC Control System, Console of Rolling Mill and the Main Control Computer, and built the mathematical models in the Simulation Comuter, for the hydraulic servo system, rolling force and thickness of strip material. In the platform, the Simulation System of Field Signal output the simulation data as standard sensor signal; the AGC Control System is the same as that used in real rolling mill system. We simulated the milling process of real rolling mill system at this platform using the field-recorded online data. The differences between simulation results and those in real system were small. Simulation results show that this simulation platform can be used in the research and optimization of rolling mill control system.

Simulation Researches of Angular Displacement Control System with Constant Vertical Wind Disturbance

2011 ◽  
Vol 378-379 ◽  
pp. 366-369
Author(s):  
Dong Cai Qu ◽  
Jin Yong Yu ◽  
Ji Hong Cheng
Keyword(s):  
Control System ◽  
Wind Speed ◽  
System Performance ◽  
Angular Displacement ◽  
Vertical Wind ◽  
Wind Disturbance ◽  
Matlab Simulation ◽  
Displacement Control ◽  
Time Length ◽  
Simulation Results

Constant vertical wind disturbance is a kind of important disturbance form. This form will bring big effect on keeping and controlling aero attitude angle and altitude. Based on established aero sport mathematics models with constant vertical wind disturbance, the structure principle diagram of aero angular displacement control system is founded. Based on MATLAB, simulation researches were emphases done on performance influence of aero angular displacement control system by different disturbance wind speed and disturbance time length. Simulation results show: aerocraft control system performance is greater impacted on constant vertical wind disturbance.

Design and MATLAB Simulation of a Composite PID Controller for EPS Test-Benches

2014 ◽  
Vol 487 ◽  
pp. 635-638
Author(s):  
Yun Fei Mai ◽  
Shao Long Liu ◽  
Wen Jing Ding
Keyword(s):  
Partial Derivative ◽  
Pid Control ◽  
Pid Controller ◽  
Dead Zone ◽  
Practical Significance ◽  
Control Algorithms ◽  
Matlab Simulation ◽  
Control Laws ◽  
Pid Algorithm ◽  
Simulation Results

For the problems that exist in EPS composite test-benches, PID control laws are expounded, a composite PID controller is designed, which is integrated with multiple advanced PID control algorithms (variable-integral PID algorithm, PID algorithm with filters, partial derivative PID algorithm, PID algorithm with dead zone), and it is simulated by MATLAB. The simulation results show that the improvement of accuracy and the impacts mitigation of the nonlinearity and external electromagnetic interferences are achieved well through the composite PID controller, and there is practical significance.

scholarly journals Designing Control System of Hypersonic Vehicle with Dynamic Pressure Constraints Considered

2019 ◽  
Vol 37 (1) ◽  
pp. 41-47
Author(s):  
Hongyang Xu ◽  
Yonghua Fan ◽  
Xi Tong ◽  
Jie Yan
Keyword(s):  
Control System ◽  
Optimal Control Theory ◽  
Dynamic Pressure ◽  
Pressure Control ◽  
Hypersonic Vehicle ◽  
State Equations ◽  
Integral Control ◽  
Pressure Control System ◽  
Scramjet Engine ◽  
Simulation Results

An airbreathing hypersonic vehicle(AHV) generally adopts a scramjet engine as its propulsion, which needs strict conditions of flight dynamic pressure. A new dynamic pressure control system is presented, in which the AHV autopilot directly uses dynamic pressure to track the dynamic pressure command. Firstly, the dynamic pressure model of the AHV is established and the state equations of dynamic pressure control are given. Then, the dynamic pressure control system is implemented using the LQR optimal control theory. The dynamic pressure error is augmented in order to add an integral control to track the dynamic pressure with zero steady error. The structure of the dynamic pressure control system is also obtained. The simulation results show that the dynamic pressure control system has a good performance for guaranteeing the dynamic pressure of the scramjet engine with the disturbance of drag and thrust considered.

Multi-layer controller with state-constraint: Vehicle lateral stability control based on fuzzy logic

2021 ◽  
pp. 095440702110142
Author(s):  
Neng Wan ◽  
Guangping Zeng ◽  
Chunguang Zhang ◽  
Dingqi Pan ◽  
Songtao Cai
Keyword(s):  
Control System ◽  
Integrated Control ◽  
State Constraint ◽  
Stability Control ◽  
Lateral Stability ◽  
System A ◽  
Velocity Reduction ◽  
Vehicle Velocity ◽  
Allowable Range ◽  
Simulation Results

This paper deals with a new state-constrained control (SCC) system of vehicle, which includes a multi-layer controller, in order to ensure the vehicle’s lateral stability and steering performance under complex environment. In this system, a new constraint control strategy with input and state constraints is applied to calculate the steady-state yaw moment. It ensures the vehicle lateral stability by tracking the desired yaw rate value and limiting the allowable range of the side slip. Through the linkage of the three-layer controller, the tire load is optimized and achieve minimal vehicle velocity reduction. The seven-degree-of-freedom (7-DOF) simulation model was established and simulated in MATLAB to evaluate the effect of the proposed controller. Through the analysis of the simulation results, compared with the traditional ESC and integrated control, it not only solves the problem of obvious velocity reduction, but also solves the problem of high cost and high hardware requirements in integrated control. The simulation results show that designed control system has better performance of path tracking and driving state, which is closer to the desired value. Through hardware-in-the-loop (HIL) practical experiments in two typical driving conditions, the effectiveness of the above proposed control system is further verified, which can improve the lateral stability and maneuverability of the vehicle.

scholarly journals A Convergent Collocation Approach for Generalized Fractional Integro-Differential Equations Using Jacobi Poly-Fractonomials

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 979
Author(s):  
Sandeep Kumar ◽  
Rajesh K. Pandey ◽  
H. M. Srivastava ◽  
G. N. Singh
Keyword(s):  
Differential Equation ◽  
Fractional Derivative ◽  
Collocation Method ◽  
Caputo Fractional Derivative ◽  
Fractional Derivatives ◽  
Special Cases ◽  
Collocation Approach ◽  
Linear And Nonlinear ◽  
Simulation Results ◽  
Theoretical Results

In this paper, we present a convergent collocation method with which to find the numerical solution of a generalized fractional integro-differential equation (GFIDE). The presented approach is based on the collocation method using Jacobi poly-fractonomials. The GFIDE is defined in terms of the B-operator introduced recently, and it reduces to Caputo fractional derivative and other fractional derivatives in special cases. The convergence and error analysis of the proposed method are also established. Linear and nonlinear cases of the considered GFIDEs are numerically solved and simulation results are presented to validate the theoretical results.

scholarly journals Electrical Damping Assessment and Sensitivity Analysis of a Liquefied Natural Gas Plant: Experimental Validation

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4084
Author(s):  
Lorenzo Bongini ◽  
Rosa Anna Mastromauro ◽  
Daniele Sgrò ◽  
Fabrizio Malvaldi
Keyword(s):  
Sensitivity Analysis ◽  
Control System ◽  
Natural Gas ◽  
Experimental Validation ◽  
Power Conversion ◽  
Liquefied Natural Gas ◽  
Fine Tuning ◽  
Simulation Platform ◽  
Electrical Damping ◽  
Conversion Stage

Liquefied Natural Gas (LNG) plants are commonly island-operated weak grids where the interaction of high-power Variable Frequency Drives (VFDs) with the Turbine-Generator (TG) units might cause Sub-Synchronous Torsional Interaction (SSTI) phenomena. SSTI phenomena can lead the LNG plant to instability conditions. Each LNG plant configuration is characterized by a risk level, which is considered high when the electrical damping at the TG Torsional Natural Frequencies (TNFs) is negative. Starting from a real case study, a detailed electromechanical model of an LNG plant is presented. The model is comprehensive of the control system of the power conversion stage and of the TG unit. Sensitivity analysis, performed on control system parameters, allows one to detect the parameters that impact the electrical damping and the stability of the overall LNG plant. A complete simulation platform is developed. Experimental results are carried out on a real LNG plant considering four different configurations. The theoretical model and the simulation platform allow one to estimate the electrical damping and the results are confirmed by the experimental validation. It is demonstrated that fine tuning of the power conversion stage control parameters can reduce the risk related to torsional instability.

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