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.

scholarly journals Finite-Time Speed Control of Marine Diesel Engine Based on ADRC

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yuanqing Wang ◽  
Guichen Zhang ◽  
Zhubing Shi ◽  
Qi Wang ◽  
Juan Su ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Finite Time ◽  
Fuel Injection ◽  
Control Method ◽  
Speed Control ◽  
Marine Diesel Engine ◽  
Engine Fuel ◽  
Control Effect ◽  
Finite Time Convergence ◽  
Marine Diesel

In this paper, in order to handle the nonlinear system and the sophisticated disturbance in the marine engine, a finite-time convergence control method is proposed for the diesel engine rotating speed control. First, the mean value model is established for the diesel engine, which can represent response of engine fuel injection to engine speed. Then, in order to deal with parameter perturbation and load disturbance of the marine diesel engine, a finite-time convergence active disturbance rejection control (ADRC) is proposed. At the last, simulation experiments are conducted to verify the effectiveness of the proposed controller under the different load disturbances for the 7RT-Flex60C marine diesel engine. The simulation results demonstrate that the proposed control scheme has better control effect and stronger anti-interference ability than the linear ADRC.

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.

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.

scholarly journals Research of RBF-PID Control in Maglev System

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1780
Author(s):  
Danrui Ma ◽  
Mengxiao Song ◽  
Peichang Yu ◽  
Jie Li
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Environmental Changes ◽  
Control Method ◽  
Working Environment ◽  
Actual Process ◽  
Control Effect ◽  
Maglev Train ◽  
Rbf Network ◽  
Maglev System

Control of the maglev system is one of the most significant technologies of the maglev train. The common proportion integration differentiation (PID) method, which has fixed control parameters, ignores the non-linearity and uncertainty of the model in the design process. In the actual process, due to environmental changes and interference, the inherent parameters of the system will drift significantly. The traditional PID controller has difficulty meeting the control requirements, and will have poor control effect in the actual working environment. Therefore, a radial basis function (RBF)-PID controller is designed in this article, which can use the information from the levitation system identified by the RBF network to adjust the parameters of the controller in real time. Compared with the traditional PID control method, it is shown that the RBF-PID method can improve the control performance of the system through simulation and experiment.

Simulation and Analysis on the Molding Pressure Roller of Lead Flake Based on AMESim and ADAMS

2012 ◽  
Vol 233 ◽  
pp. 114-118 ◽  
Author(s):  
Rong Li ◽  
Jing Luo ◽  
Zu Shun He ◽  
Zhi Fei Peng
Keyword(s):  
Mechanical Model ◽  
Hydraulic System ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Speed Control ◽  
Molding Pressure ◽  
Separation Algorithm ◽  
Simulation Results ◽  
Control Principle ◽  
Amesim Simulation

In this paper, introduced the structure and speed control principle which are the molding pressure roller of lead flake. Then, the co-simulation technology of AMESim and ADAMS is used to build a mechanical model of the molding pressure roller in ADAMS and build the model of hydraulic system and separation algorithm of PID controller in AMESim. Finally, according to the co-simulation model to analyse the molding pressure roller of lead flake in AMESim simulation interface. Simulation results show that the design of speed control system has good dynamic performance.

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.

Application of Kalman Filter in DC Motor Speed Control System

2012 ◽  
Vol 150 ◽  
pp. 129-132 ◽  
Author(s):  
Zhong Qiao Zheng ◽  
Yan Hong Zhang ◽  
Jian Sheng Zhang
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
Pid Controller ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Control Effect ◽  
Noise Interference ◽  
Response Characteristics ◽  
Speed Control System

PID controller is widely used in industry field, but when the industry presence exists noise interference, it is difficult for the conventional PID controller to achieve the expected control effect, in view of this situation, the method of combinating Kalman filter with the PID control is studied in this paper, the DC motor speed control system is simulated, the results shows that the PID controller based on Kalman filter is better to inhibit the effect of white noise, and it has a good dynamic response characteristics.

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.

The Optimization for PID Controller Parameters Based on Genetic Algorithm

2014 ◽  
Vol 513-517 ◽  
pp. 4102-4105 ◽  
Author(s):  
Xiang Jie Niu
Keyword(s):  
Genetic Algorithm ◽  
Pid Control ◽  
Pid Controller ◽  
Integral Function ◽  
Research Field ◽  
System Stability ◽  
Control Parameters ◽  
Optimization Strategy ◽  
Control Effect ◽  
Operation Speed

as an important research field of automatic control problems, PID parameter optimization's control effect depends on the proportional, integral and derivative values. Using trial and error testing to manually realize optimization PID parameters, the traditional ways are often time-consuming and difficult to meet the requirements of real-time control. In order to solve the problems and improve system performance, the paper proposes a PID parameter optimization strategy based on genetic algorithm. The paper establishes the PID controller parameter model through genetic algorithm, uses the PID parameters as individuals in genetic algorithm during the control process, and takes the integral function of absolute error control time as the optimization object to dynamically adjust the three PID control parameters, thus realize online optimization for PID control parameters. Simulation results show that the introduction of genetic algorithms for PID control system improves the dynamic performance, enhance system stability and operation speed, and get better control effect.

scholarly journals Design and application of adaptive PID controller based on asynchronous advantage actor–critic learning method

2019 ◽  
Author(s):  
Qifeng Sun ◽  
Chengze Du ◽  
Youxiang Duan ◽  
Hui Ren ◽  
Hongqiang Li
Keyword(s):  
Pid Controller ◽  
Value Function ◽  
Parameter Tuning ◽  
Pid Controllers ◽  
Asynchronous Learning ◽  
Control Effect ◽  
Continuous Action ◽  
Simulation Results ◽  
Best Parameter ◽  
Tuning Strategy

AbstractTo address the problems of the slow convergence and inefficiency in the existing adaptive PID controllers, we propose a new adaptive PID controller using the asynchronous advantage actor–critic (A3C) algorithm. Firstly, the controller can train the multiple agents of the actor–critic structures in parallel exploiting the multi-thread asynchronous learning characteristics of the A3C structure. Secondly, in order to achieve the best control effect, each agent uses a multilayer neural network to approach the strategy function and value function to search the best parameter-tuning strategy in continuous action space. The simulation results indicate that our proposed controller can achieve the fast convergence and strong adaptability compared with conventional controllers.

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