scholarly journals Modeling and Simulation of Ship-Borne Weapon Stabilization System Based On Double Position Loop Control

2021 ◽  
Vol 2066 (1) ◽  
pp. 012107
Author(s):  
Pu Dai ◽  
Jun Pan ◽  
Yan Cao ◽  
Qing Ma ◽  
Manli Du
Keyword(s):  
Control Method ◽  
Good Control ◽  
Weapon System ◽  
Stabilization System ◽  
Control Effect ◽  
Loop Control ◽  
Stabilization Control ◽  
System A ◽  
And Control ◽  
Ship Rolling

Abstract In order to solve the problem of increasing system cost and low control accuracy by adding gyroscope or inertial navigation system, a dual position loop control ship-borne stabilization system is proposed in the paper. The mathematical model is established to analyze the influence of ship rolling factors on the space pointing of single position loop weapon system. On this basis, the control strategy of double position loop is proposed, and the simulation structure and control method of inner position loop and double position loop are described respectively. The simulation results show that the method can isolate the factors of ship rolling, realize the closed-loop stabilization control of weapon system in geodetic coordinate without adding system hardware cost, and have good control effect as well.

Study of Alumina Concentration Control Based on Intelligent Characteristic Model

2011 ◽  
Vol 317-319 ◽  
pp. 1314-1317 ◽  
Author(s):  
Tian Pei Zhou
Keyword(s):  
Control Method ◽  
Good Control ◽  
Aluminum Production ◽  
Alumina Concentration ◽  
Analysis Model ◽  
Control Effect ◽  
Characteristic Model ◽  
Electrolytic Aluminum Production ◽  
And Control ◽  
Measurement And Control

In electrolytic aluminum production processing, the measurement and control of alumina concentration is one of the three most important control aims. However, due to alumina concentration can not be measured directly and continuously online, and electrolytic aluminum production process is nonlinear, time-varying and large delay, which can not be described through the mathematical analysis model. Therefore, efficient and reliable development of alumina concentration control method is very important. In view of the above problems, alumina concentration is controlled by intelligent characteristic model and single neural adaptive PID controller, which achieve a good control effect.

scholarly journals Design and Control of a Novel Single Leg Structure of Electrically Driven Quadruped Robot

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Mingfang Chen ◽  
Hao Chen ◽  
Xuejun Wang ◽  
JiangXuan Yu ◽  
YongXia Zhang
Keyword(s):  
Control Method ◽  
Good Control ◽  
Quadruped Robot ◽  
Structure Design ◽  
The Body ◽  
Interpolation Algorithm ◽  
Control Effect ◽  
Simulation And Experiment ◽  
Control Principle ◽  
And Control

In order to solve the defects of the large inertia and control difficulty of the electrically driven quadruped legs of robots, a novel leg structure and a control method are proposed in this paper. In terms of structure, the motor of the knee is arranged in the body of the robot to reduce the weight of the legs. In addition, this paper improves the PVT difference control algorithm embedded in the PMAC controller. Using the nonlinear control principle of the U-model, the optimized segmented Hermite difference method is used to implement the planning of the foot trajectory of the quadruped robot. Simulation and experiment show that the leg structure design is reasonable and the improved interpolation algorithm has good control effect.

Application of Intelligent Characteristic Model in Alumina Concentration Control System

2011 ◽  
Vol 328-330 ◽  
pp. 1837-1840
Author(s):  
Tian Pei Zhou
Keyword(s):  
Control Method ◽  
Good Control ◽  
Aluminum Production ◽  
Analysis Model ◽  
Control Effect ◽  
Characteristic Model ◽  
Density Control ◽  
Electrolytic Aluminum Production ◽  
And Control ◽  
Measurement And Control

In electrolytic aluminum production processing, the measurement and control of alumina density is one of the three most important control aims. However, due to alumina density can not be measured directly and continuously online, and electrolytic aluminum production process is nonlinear, time-varying and large delay, which can not be described through the mathematical analysis model. Therefore, efficient and reliable development of alumina density control method is very important. In this paper, alumina density is controlled by single neural adaptive PID controller in electrolytic aluminum production processing, and alumina density based on intelligent characteristic model is established by using the intelligent characteristic model method, takes the model as the control model, alumina density is controlled combination of the two advantage, which achieve a good control effect.

An Efficient Approach for Modeling and Control of a Quadrotor

2016 ◽  
Vol 4 (2) ◽  
pp. 1-16
Author(s):  
Ahmed S. Khusheef
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Mechanical Design ◽  
Loop Control ◽  
Modeling And Control ◽  
Loop Control System ◽  
And Control ◽  
Close Loop Control ◽  
Close Loop Control System ◽  
Made In

 A quadrotor is a four-rotor aircraft capable of vertical take-off and landing, hovering, forward flight, and having great maneuverability. Its platform can be made in a small size make it convenient for indoor applications as well as for outdoor uses. In model there are four input forces that are essentially the thrust provided by each propeller attached to each motor with a fixed angle. The quadrotor is basically considered an unstable system because of the aerodynamic effects; consequently, a close-loop control system is required to achieve stability and autonomy. Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. The dynamic model of this vehicle will be also explained by using Euler-Newton method. The mechanical design was performed along with the design of the controlling algorithm. Matlab Simulink was used to test and analyze the performance of the proposed control strategy. The experimental results on the quadrotor demonstrated the effectiveness of the methodology used.

Design of Automatic High-Voltage Capacitor Charging System

2014 ◽  
Vol 530-531 ◽  
pp. 1119-1125
Author(s):  
Jia Zhi Yang ◽  
Sheng Li Yi ◽  
Fei Yang ◽  
Xi Le Wang ◽  
Fan Yang
Keyword(s):  
High Voltage ◽  
Control Algorithm ◽  
Storage Device ◽  
Voltage Measurement ◽  
Loop Control ◽  
Charging System ◽  
System A ◽  
Fiber Optical ◽  
And Control ◽  
Measurement And Control

A high precision, rapid and automatic high-voltage capacitor charging system is needed for pulse power system. A charging system based on high-voltage capacitor bank as energy storage device and c8051f020 MCU as control system, is designed in this paper .The hardware of this system includes a voltage measurement and control circuit, operation and display screen circuit, optical coupling circuit, fiber optical transceiver circuit. The software of this system uses closed-loop control algorithm to control the motor of voltage regulator, and the voltage of high voltage capacitor is charged from 0 to 20KV. By analyzing for the data of experimental and adopt the method of curve fitting, a modified voltage control algorithm is established. The modified algorithm improves the accuracy of charged voltage for high voltage capacitor to more than 99%.

Using DCS to Realize Ball Mill Fuzzy Control System

2014 ◽  
Vol 568-570 ◽  
pp. 1131-1134
Author(s):  
Yan Jun Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Ball Mill ◽  
Control Method ◽  
Good Control ◽  
Pi Controller ◽  
Decoupling Control ◽  
Control Effect ◽  
Hot Air ◽  
Look Up Table

By way of summarizes operation experience, using fuzzy control method to realize the decoupling control of coal mill cold air damper, hot air damper and coal feeder, by using cascade control of fuzzy control look up table and PI controller in DCS, it’s convenient to realized the automatic control of ball mill. Practice proves that this method is easy to achieve and good control effect could be achieved.

PI Controller Design for DFIG Wind Power Generation System RSC Based on PSO Algorithm

2014 ◽  
Vol 508 ◽  
pp. 196-199
Author(s):  
Yi Min Chu ◽  
Wu Wang
Keyword(s):  
Control System ◽  
Controller Design ◽  
Good Control ◽  
Pso Algorithm ◽  
Pi Controller ◽  
Current Loop ◽  
Control Effect ◽  
Loop Control ◽  
Stator Flux ◽  
Rotor Side Converter

PID controller has widely used in control system for its simple structure, good control effect and strong robustness, the PI control strategy was introduced into rotor side converter of DFIG control with the mathematical models and the structure of stator flux-oriented vector control. Particle swam optimization algorithm was a new random optimization technology which has the features of rapid calculation speed. The PI controller design for RSC current loop and speed loop control was analyzed, and the PSO algorithm was presented for PI controller design, the simulation experiments demonstrated that the algorithm was suitable for the RSC control system with PSO remarkable search capability.

The Research of Flux-Weaken Control about IPMSM of the Electric Cars

2014 ◽  
Vol 556-562 ◽  
pp. 2317-2320
Author(s):  
Jian Guo Song ◽  
Qing Lu Zhang ◽  
Peng Fei Xie
Keyword(s):  
Closed Loop ◽  
Permanent Magnet Synchronous Motor ◽  
Good Control ◽  
Control Effect ◽  
Loop Control ◽  
Electric Cars ◽  
First Order ◽  
Three Phase ◽  
Interior Permanent Magnet ◽  
Simulation And Experiment

In this paper, we study the flux-weaken control with the method of the advanced angle of currents in the interior permanent magnet synchronous motor of the electric cars. We adopt the first-order digital filter to handle the data acquired from three phase currents and realize the speed and current double closed loop control by the incremental PI regulation. In Matlab/Simulink, we build the flux-weaken control system simulation model with the double closed loop. For the 40kw IPMSM, we develop the experimental platform based on TMS320F28335. The simulation and experiment archive a good control effect.

Research on Process of Impact and Control with Underwater Autonomous Weapon System

2011 ◽  
Vol 204-210 ◽  
pp. 862-865
Author(s):  
Peng Fei Peng ◽  
Zhong Liu ◽  
Jun Jiang
Keyword(s):  
Numerical Simulation ◽  
Process Model ◽  
Control Method ◽  
Weapon System ◽  
Impact Process ◽  
Concept Model ◽  
Optimization Control ◽  
And Control ◽  
The Impact

The basic composing and functions of underwater autonomous weapon system are analyzed in the paper. With researching on the process of action, the concept model of underwater autonomous weapon system is built up. The impact control method is deeply analyzed on the emphasis, and the model of impact process is put forward. The results of numerical simulation indicate that the impact process model and control method are effectual which can provide reliable theory for farther research on optimization control of system.

Fuzzy Control Based on Genetic Algorithm to Optimize the Mill Load

2013 ◽  
Vol 385-386 ◽  
pp. 827-830
Author(s):  
Yan Jiao Li ◽  
Jian Min Wang ◽  
Jie Zhang
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Production Efficiency ◽  
Control Method ◽  
Good Control ◽  
Stable Operation ◽  
Control Effect ◽  
Efficient Operation ◽  
Load Optimization ◽  
Grinding System

Mill load is closely related to production efficiency and energy consumption, the purpose of mill load control is guaranteed to increase the production efficiency under the condition of safe and stable operation of the mill grinding. For ball grinding system has some characteristics of nonlinear, large time delay and time-varying, the conventional control method is hard to achieve good control effect, this paper proposes a optimization method of fuzzy control of mill load based on genetic algorithm. The control rules and membership functions has a great deal of subjectivity and arbitrariness. In order to make up this deficiency, using genetic algorithm better solve the mill load optimization. Make grinding system can safe, stable and efficient operation.

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