Controller Optimization of Quadrotor UAV

2014 ◽  
Vol 709 ◽  
pp. 237-240
Author(s):  
Xin Zhao ◽  
Wei Ping Zhao ◽  
Song Xiang
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Pid Controller ◽  
System Simulation ◽  
Stability Control ◽  
Control Model ◽  
Lateral Stability ◽  
Control Effect ◽  
Quadrotor Uav ◽  
Simulation Results

Adjusting method of traditional PID controller is complicated. The controller obtained by adjusting method of traditional PID may be not optimal. Therefore, present paper utilized the genetic algorithm to optimize the PID controller parameter of roll channel of quadrotor UAV. According to the feature of lateral stability control model of quadrotor UAV, ascend time of system, steady state error, and weighted overshoot are chosen as objective function. In order to obtain the better control effect, penalty function is used to limit the oscillation of system. Simulation results show that PID controller designed by the genetic algorithm possess the excellent flexibility, adaptability and can produce the better control effect.

Control Law and Simulation Analysis of Vertical Take-Off and Landing Stage of Tilt Rotor Aircraft

2014 ◽  
Vol 1082 ◽  
pp. 521-524
Author(s):  
Yuan Qi Zhang ◽  
Wei Ping Zhao ◽  
Song Xiang
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Stability Control ◽  
Control Law ◽  
Control Effect ◽  
Tilt Rotor ◽  
Optimization Simulation ◽  
Simulation Results ◽  
Aircraft System

This paper utilized the genetic algorithm to optimize the PID controller of vertical take-off and landing stage of tilt rotor aircraft. According to the features of stability control of vertical take-off and landing stage of tilt rotor aircraft, system ascend time, steady error, and weighted overshoot are chosen as objective function of optimization. Simulation results show that PID controller designed by the genetic algorithm possess the excellent flexibility, adaptability and can produce the better control effect.

Simulation Research on the Basic Platform's Automatic Leveling System Based on SimHydraulics

2013 ◽  
Vol 345 ◽  
pp. 99-103 ◽  
Author(s):  
Yong Qing Chen ◽  
Xin He Xu ◽  
Hua Ling Zhu ◽  
Shi De Ye ◽  
Liang Tao Li
Keyword(s):  
Control System ◽  
Steady State ◽  
System Design ◽  
Simulation Study ◽  
Pid Controller ◽  
System Simulation ◽  
Proportional Valve ◽  
Simulation Research ◽  
Adjustment Time ◽  
Simulation Results

Based on the MATLAB/SimHydraulics toolbox, an automatic leveling system controlled by electro-hydraulic proportional valve was simulated and researched. With the help of Hydraulic components models in the SimHydraulics toolbox, the SimHydraulics Physical Network simulation and the Simulink control system simulation was integrated used, and the Simulink modules powerful numerical processing capability helped to improve the efficiency and accuracy of the system design. The simulation results showed that:The use of SimHydraulics toolbox on the simulation study of automatic leveling system controlled by electro-hydraulic proportional valve is feasible; The adjustment time of the automatic leveling system is short and the steady-state accuracy is high based on the PID controller.

Analysis and Optimization of Electro-Hydraulic Proportional Speed Synchronous System Based on AMESim

2013 ◽  
Vol 391 ◽  
pp. 228-231
Author(s):  
Ning Xie ◽  
Peng Wei Chen ◽  
Jin Jin Guo ◽  
Xi Chen ◽  
Bin Wen
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Response Time ◽  
Control Strategy ◽  
Pid Controller ◽  
Hydraulic Motor ◽  
System Models ◽  
Synchronous System ◽  
Simulation Results

The system models for analysis and optimization of an electro-hydraulic proportional synchronous system is presented based on AMESim. This paper studies the control strategy for the improvements of the response time, steady-state accuracy, stability and synchronization of the system. The speed of a hydraulic motor can be controlled through regulation of the PID controller by the genetic algorithm. Simulation results show that performances of the system have been improved and expected results can also have been obtained.

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.

Design of a New Nonlinear Excitation Controller Combined Differential Geometry with PID Theory

2012 ◽  
Vol 588-589 ◽  
pp. 1507-1511
Author(s):  
Xiao Juan Sun
Keyword(s):  
Differential Geometry ◽  
Single Machine ◽  
Feedback Linearization ◽  
Transient Stability ◽  
Infinite System ◽  
System Simulation ◽  
Control Effect ◽  
Nonlinear Excitation ◽  
Terminal Voltage ◽  
Simulation Results

This paper presents a nonlinear excitation controller for transient stability combined differential geometry theory with PID technology. The controller ties the output of linear multi-variable excitation controller with the output of PID. Exact feedback linearization theory of differential geometry is applied to the design of linear multi-variable excitation controller for the single machine infinite system. Simulation results show that, compared with the general differential geometric controller, the proposed controller has the better control effect on power system and which remarkably improves the terminal voltage deficiencies in the control of generator.

Optimal Design of Control Parameters for Extended Range Munitions Using Improved Genetic Algorithm

2013 ◽  
Vol 709 ◽  
pp. 611-615
Author(s):  
Si Jiang Chang ◽  
Qi Chen
Keyword(s):  
Genetic Algorithm ◽  
Pitch Angle ◽  
Adaptive Genetic Algorithm ◽  
Control Parameters ◽  
Improved Genetic Algorithm ◽  
Optimal Model ◽  
Control Effect ◽  
Optimal Method ◽  
Extended Range ◽  
Simulation Results

To obtain the best control effect for the controller of Extended Range Munitions (ERM), an optimal method for control parameters design was proposed. The adaptive genetic algorithm (GA) with real coding and the elites to keep the tactics were combined, based on which the original GA was improved. An optimal model of pitch angle controller for a type of ERM was established and the improved GA was used as the solver. Taking the stabilization loop as an example, the Powell algorithm, the simple GA and the improved GA were used to optimization, respectively. The simulation results indicate that the improved GA is more efficient and possesses stronger capability for searching.

Switched Controller Design for DC /DC Converter

2011 ◽  
Vol 130-134 ◽  
pp. 3994-3997
Author(s):  
Xia Wang ◽  
Yu Jun Tang ◽  
Jian Li Wang
Keyword(s):  
Steady State ◽  
Transient Process ◽  
Pulse Width ◽  
Output Voltage ◽  
Controller Design ◽  
Control Effect ◽  
Average Model ◽  
Simulation Results ◽  
Smooth Switching

A switched controller is designed for the Boost DC /DC converter. The proposed switched controller takes advantage of both min-projection-controller (MPC) and integral modulated pulse-width controller (IMPWC), in which the MPC deals with the transient process and the IMPWC is in charge of the steady state. Smooth switching is ensured by resetting the integral value of IMPWC according to the static average model and steady output voltage. Simulation results proved the control effect of the switched controller.

The Smith Predictor Control of Argon-Bottom-Blowing Supply System with Time-Delay

2014 ◽  
Vol 602-605 ◽  
pp. 1383-1386
Author(s):  
Li Hui Chen ◽  
Zhan Ping Huang ◽  
Wen Xia Du ◽  
Yan Rui Du
Keyword(s):  
Time Delay ◽  
Molten Steel ◽  
Pid Controller ◽  
Supply System ◽  
Smith Predictor ◽  
Control Effect ◽  
Bottom Blowing ◽  
Simulation Results ◽  
System With Time Delay

The process of Argon-bottom-blowing is widely used in steelmaking, Argon is used to stir molten steel fully and uniform the composition and temperature to improve the quality of molten steel. In this paper, Argon-bottom-blowing supply system is selected as the research object, there exits big delay because of the long gas pipeline. In order to overcome the adverse effect of time-delay, the reasonable Smith predictor is designed, which try to make PID regulator act in advance and reduce system overshoot amount. The simulation results show Smith predictor and PID controller are connected in parallel, the influence of time-delay can be eliminated and satisfactory control effect can be obtained.

Research on Generator Tripping Value of Security and Stability Control

2014 ◽  
Vol 494-495 ◽  
pp. 1795-1800
Author(s):  
Hui Ping Zheng ◽  
Yu Long Yang ◽  
Shu Yong Song ◽  
Xin Yuan Liu ◽  
Min Xue ◽  
...  
Keyword(s):  
Steady State ◽  
Theoretical Analysis ◽  
Transmission Line ◽  
Stability Limit ◽  
Stability Control ◽  
Control Measures ◽  
Equal Area ◽  
Simulation Results ◽  
Steady State Stability

In this paper, the problem of the excessive generator tripping value of security and stability control after occurrence of the N-2 fault in the Shentou-Yantong transmission line of Shanxi DaTong Regional grid is studied. And the principle of security and stability control measures based on equal area criterion is analyzed. The reason leading to excessive generator-tripping value of security and stability control after the occurrence of the N-2 fault in Shentou-Yantong region is figured out, and it is that the steady-state stability limit of transmission section decreases and the accelerator power cannot be released. Finally, the results of theoretical analysis are verified by simulations. The simulation results indicate that too large generator-tripping value of security and stability control is mainly caused by decrease of the steady-state stability limit of the transmission section after occurrence of the fault in Datong. The conclusions in the paper have referential significance for the study on similar power concentrated send-out systems.

Study on the Speed Control of a Marine Diesel Based on Fuzzy RBF-PID Strategy

2012 ◽  
Vol 241-244 ◽  
pp. 1255-1260
Author(s):  
Qing Fu Kong ◽  
Fan Ming Zeng ◽  
Jie Chang Wu ◽  
Jia Ming Wu
Keyword(s):  
Working Conditions ◽  
Basis Function ◽  
Pid Controller ◽  
Speed Control ◽  
Control Parameters ◽  
Control Effect ◽  
Complex Objects ◽  
Rbf Network ◽  
Marine Diesel ◽  
Simulation Results

It is very important to enhance the speed control effect of marine diesels. However, marine diesels are typical complex objects; sometimes it is difficult to achieve the control goals of the diesel speed with traditional PID strategy due to its fixed control parameters under all working conditions. In order to improve the speed control effect of marine diesels, the intelligent fuzzy RBF-PID strategy, which is integrated by fuzzy, Radical Basis Function (RBF) network and PID strategies, is presented in the paper. Development of the fuzzy RBF-PID controller is discussed in detail. Finally, the validity of the fuzzy RBF-PID strategy for the speed control of marine diesels is verified by simulation results.

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