A Novel Fuzzy Logic PID Algorithm for Submarine Hydraulic Rudder Control

2012 ◽  
Vol 236-237 ◽  
pp. 1222-1226
Author(s):  
Rong Sun ◽  
Sheng Liu ◽  
Lan Yong Zhang
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Simulation Analysis ◽  
Steering System ◽  
Steering Control ◽  
Displacement Control ◽  
Parameter Uncertainties ◽  
Performance Impact ◽  
Advantages And Disadvantages ◽  
Load Disturbance

According to the composition of the submarine hydraulic rudder system, the paper analyzed the different advantages and disadvantages of the rudder type, steering agencies and the hydraulic rudder control system as well as the scope of application. System steering bodies of pump control servo, variable pump displacement control system, steering control system and rudder hydrodynamic interference model were modeled. Fuzzy logic hydraulic servo parameter adjustment method is presented, and simulation analysis of the variable pump displacement control system and steering system. As the system parameter uncertainties and load disturbance, the performance impact of parameter variation and load disturbance simulation analysis.

Research on Control Scheme of Submarine Hydraulic Rudder

2013 ◽  
Vol 329 ◽  
pp. 452-456
Author(s):  
Hui Yuan Liu ◽  
Li Hua Liang ◽  
Lan Yong Zhang
Keyword(s):  
Control System ◽  
Simulation Analysis ◽  
Steering System ◽  
Steering Control ◽  
Displacement Control ◽  
Parameter Uncertainties ◽  
Performance Impact ◽  
Advantages And Disadvantages ◽  
Load Disturbance ◽  
Scope Of Application

According to the composition of the submarine hydraulic rudder system, the paper analyzed the different advantages and disadvantages of the rudder type, steering agencies and the hydraulic rudder control system as well as the scope of application. System steering bodies of pump control servo, variable pump displacement control system, steering control system and rudder hydrodynamic interference model were modeled. Fuzzy logic hydraulic servo parameter adjustment method is presented, and simulation analysis of the variable pump displacement control system and steering system. As the system parameter uncertainties and load disturbance, the performance impact of parameter variation and load disturbance simulation analysis.

A Study on μ-Synthesis Control for Four-Wheel Steering System to Enhance Vehicle Lateral Stability

2010 ◽  
Vol 133 (1) ◽  
Author(s):  
Guo-Dong Yin ◽  
Nan Chen ◽  
Jin-Xiang Wang ◽  
Ling-Yao Wu
Keyword(s):  
Control System ◽  
Experimental Tests ◽  
Steering System ◽  
Hardware In The Loop ◽  
Steering Control ◽  
Robust Controller ◽  
Control Scheme ◽  
Parameter Variations ◽  
Good Vehicle ◽  
Selection Of

This paper presents the design of μ-synthesis control for four-wheel steering (4WS) vehicle and an experimental study using a hardware-in-the-loop (Hil) setup. First, the robust controller is designed and the selection of weighting functions is discussed in the framework of μ-synthesis control scheme, considering the varying parameters induced by running vehicle condition. Second, in order to investigate the feasibility of the four-wheel steering control system, the 4WS vehicle control system is built using dSPACE DS1005 platform. The experimental tests are performed using the Hil setup which has been constructed using the devised rear steering actuating system. The dynamics performance is evaluated by experiment using the Hil setup under the condition of parameter variations. Finally, experimental results show that the μ-synthesis controller can enhance good vehicle lateral maneuverability.

scholarly journals Development of Electrohydraulic Steering Control System for Tractor Automatic Navigation

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Chengqiang Yin ◽  
Qun Sun ◽  
Jian Wu ◽  
Chengqiang Liu ◽  
Jie Gao
Keyword(s):  
Control System ◽  
Design Method ◽  
Fast Response ◽  
Steering System ◽  
Matlab Simulation ◽  
Steering Control ◽  
Automatic Navigation ◽  
Servo Controller ◽  
Improved Design ◽  
Agricultural Tractors

The most of tractors employed in agriculture are equipped with an electrohydraulic actuator to implement steering control to realize automatic navigation. Electrohydraulic steering system plays an important role in realizing accurate steering control for an automatic navigation tractor because of its complicated characteristics. The objective of this paper is to develop an electrohydraulic steering control system used for automatically guided agricultural tractors. As for the identified electrohydraulic steering system model, a modified Smith control structure was discussed. Based on the structure, an improved design method for voltage servo controller and disturbance rejection controller was proposed to enhance the performance of the steering control subsystem. The effectiveness and the superiority of the proposed method were verified by simulation under Matlab. Simulation results demonstrated the efficiency of the proposed method by showing fast response, control accuracy, and robust performance for the steering control system.

A Steering Control System to Minimize Propulsion Losses of High-Speed Containerships—Part I: System Dynamics

1982 ◽  
Vol 104 (1) ◽  
pp. 1-8 ◽  
Author(s):  
R. E. Reid ◽  
J. W. Moore
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Time Domain ◽  
High Speed ◽  
Steering System ◽  
Performance Criteria ◽  
Domain Modeling ◽  
Added Resistance ◽  
Steering Control ◽  
Time Domain Modeling

The problem of steering control of high-speed containerships to minimize propulsion losses is addressed. The approach involves time domain modeling and simulation. A dynamic model of a containership and steering system in a seaway is constructed. Performance criteria for added resistance associated with yawing and steering are discussed. Losses resulting from yawing of the uncontrolled ship in heavy weather are shown by simulation to be significant. The results presented form a basis for design of a controller to minimize steering related losses.

Optimization Control System using the Quantum Behaved Particle Swarm Optimization on Vehicle Steering Control System with Steer-by-Wire System

2014 ◽  
Vol 71 (2) ◽  
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Pid Control ◽  
Fuzzy Logic Control ◽  
Steering Control ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control ◽  
Steer By Wire ◽  
Wire System

Fuzzy Logic includes a technique are widely applied to the vehicle steering control system, however, to get the parameters required by a reliable Fuzzy Logic Control (FLC), needed training and learning process. Quantum behaved Particle Swarm Optimization (QPSO) is a simple optimization method that guarantees the achievement of global convergence quickly. This paper aimed to optimize of the steering control system on vehicle with steer-by-wire system using QPSO. The vehicle steering control system consists of Fuzzy Logic Control (FLC) and the Proportional, Integral and Derivative (PID) control are built in cascade, in which FLC is used to minimize the lateral motion error and PID control is used to suppress yaw motion error of the vehicle. The parameters of the control system are optimized by QPSO consists of three parameters to determine the position of the centre and the width of the triangle membership function of FLC and three constant gain of PID control. The optimization is done through the software in the loop simulation of vehicle models represented by 10 Degree of Freedom (DOF) of the vehicle dynamics. Simulation results showed that optimization using QPSO on the parameters of the control system can guarantee the movement of the vehicle is constantly maintained at the desired trajectory with a smaller error and higher vehicle speeds compared to the control system without tuned. The results obtained will be used as the basis for testing of the hardware in the loop simulation (HILS) so it can further improve the performance of steer-by-wire system. 

Study of Vice-Steering Control System for Training Car

2011 ◽  
Vol 142 ◽  
pp. 79-82
Author(s):  
Wei Chun Zhang ◽  
Bing Bing Ma ◽  
Xian Bin Du ◽  
Bao Hao Pei ◽  
Jie Chen
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Control System ◽  
Dynamic Characteristics ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Steering Control ◽  
Fuzzy Pid Controller ◽  
System A

Based on analyzing the structure and dynamic characteristics of this system, a dynamical mathematical model is established. To overcome the problems when using fuzzy controller or PID controller respectively and increase precision, a P-fuzzy-PID mode controller and a fuzzy PID controller is designed to control the system. The module of simulink which is a part of MATLAB is used to construct a monolithic mould. The fuzzy logic toolbox is used to construct a fuzzy mould. The results of simulation show that the performance of control becomes better by using this design.

MODELS AND FUZZY MICROCLIMATE CONTROL SYSTEM IN THE STORAGE OF ARCHIV GE OF ARCHIVAL DOCUMEN AL DOCUMENTS

2021 ◽  
Vol 2021 (3) ◽  
pp. 54-61
Author(s):  
Avaz Marakhimov ◽  
◽  
Abdushukur Abdullaev ◽  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Management System ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Rule Base ◽  
Fuzzy Inference Systems ◽  
Advantages And Disadvantages ◽  
Inference Systems

In this article, the main object of research is the creation of appropriate microclimatic conditions to ensure reliable and high-quality storage of archival documents, as well as automatic control of the optimal values of the main parameters of the external and internal environment that directly affect the quality of storage. To control the microclimate, three categories of models for automatic control of these parameters are considered separately in the archives: the “white box”, “black box” and “gray box " models. The results of the analysis of the advantages and disadvantages of the considered models are presented. The generalized structure of the microclimate management system is also given, as well as a list of controlled and changeable parameters of the microclimate management system of archives. It is proposed to use the fuzzy logic apparatus to create microclimate control systems in archival repositories, which allows synthesizing stable algorithms for its functioning in conditions of uncertainty. The specific steps that need to be performed when designing and using fuzzy inference systems and which are implemented based on the rules of fuzzy logic are listed. When designing and using fuzzy inference systems, it is necessary to observe certain stages that are implemented based on the rules of fuzzy logic. A generalized algorithm for forming a rule base with a technique for implementing the fuzzy inference procedure is presented. The tasks that need to be solved when designing a fuzzy control system are indicated. A system of automatic temperature control in archival repositories with a fuzzy logic controller is presented.

scholarly journals Synthesis of Multicriteria Controller by Means of Fuzzy Logic Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Andrew Lozynskyy ◽  
Lyubomyr Demkiv
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Control System ◽  
Membership Functions ◽  
Displacement Control ◽  
System A ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Optimal Values ◽  
Linear And Nonlinear

A two-mass fuzzy control system is considered. For fuzzification process, classical both linear and nonlinear membership functions are used. To find optimal values of membership function’s parameters, genetic algorithm is used. To take into account values of both output and intermediate parameters of the system, a penalty function is considered. Research is conducted for the case of speed control system and displacement control system. Obtained results are compared with the case of the system with classical, crisp controller.

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