Design of ship main engine speed controller based on optimal active disturbance rejection technique

2010 ◽  
Author(s):  
Weigang Pan ◽  
Yingbing Zhou ◽  
Yaozhen Han
Keyword(s):  
Disturbance Rejection ◽  
Engine Speed ◽  
Speed Controller ◽  
Active Disturbance Rejection ◽  
Main Engine

Cascade active disturbance rejection control–based double closed-loop speed tracking control for automotive engine

2019 ◽  
Vol 21 (8) ◽  
pp. 1541-1554
Author(s):  
Meiyu Feng ◽  
Xiaohong Jiao ◽  
Zhong Wang
Keyword(s):  
Disturbance Rejection ◽  
Engine Speed ◽  
Closed Loop ◽  
Time Varying ◽  
Extended State ◽  
Set Point ◽  
Automotive Engine ◽  
Speed Controller ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

To improve tracking performance of engine speed in the face of nonlinearity and time-varying uncertainty, this article investigates the double closed-loop cascade active disturbance rejection control strategy for automotive engine control system. In this cascade control arrangement, the outer active disturbance rejection speed controller with the extended state observer for the speed error and its integral, and disturbance from load torque and time-varying uncertainty, drives the set-point of the inner loop to keep the engine speed to its set-point; meanwhile, the inner active disturbance rejection pressure controller with the extended state observer for the pressure error and its integral, and disturbance from the air mass flow rate leaving the intake manifold and the pumping fluctuation of air charge, manages the throttle valve to match the pressure with the set-point requested by the outer active disturbance rejection speed controller. The observer gains and controller gains of active disturbance rejection speed controller and active disturbance rejection pressure controller are determined by the linear matrix inequalities ensuring the stability and disturbance attenuation level of the closed-loop system. The effectiveness is validated by implementing the proposed strategy and a series of related control schemes in the simulator of a real V6 engine.

Application of Active Disturbance Rejection Cotroller in Sensorless Vector Control System of PMSM

2013 ◽  
Vol 273 ◽  
pp. 449-453
Author(s):  
Shu Gong Xue ◽  
Xin Zhu Sun
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
Extended Kalman Filter ◽  
Disturbance Rejection ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Accuracy ◽  
Speed Controller ◽  
Sensorless Vector Control ◽  
Active Disturbance Rejection ◽  
Vector Control System

To improve the anti-disturbance capabilities of sensorless control system of permanent magnet synchronous motor PMSM), study on application of active disturbance rejection controller (ADRC) is put forward.The extended Kalman filter (EKF) algorithm is proprosed to estimate the rotor speed and position of PMSM for the realization of sensorless control.The ADRC is introduced to the control of speed loop to improve the control performances. Simulation results show that extended kalman filter algorithm worked well,and the proposed control strategy is superior to conventional PI speed controller for its no overshoot, high estimation accuracy,stronger capacity of anti-load-torque- disturbance and etc.

scholarly journals Variable Sampling Rate based Active Disturbance Control for a Marine Diesel Engine

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 370 ◽  
Author(s):  
Runzhi Wang ◽  
Xuemin Li ◽  
Yufei Liu ◽  
Qadeer Ahemd ◽  
Yunlong Yang ◽  
...  
Keyword(s):  
Disturbance Rejection ◽  
Engine Speed ◽  
Sampling Rate ◽  
Control Unit ◽  
Speed Control ◽  
Sampling Interval ◽  
Engine Control ◽  
Active Disturbance Rejection ◽  
Variable Sampling ◽  
Control Scheme

In this paper, in order to handle the high nonlinearity and the sophisticated disturbance in marine engines, a variable sampling rate based active disturbance rejection controller is developed for engine speed control. In the proposed method, the Active Disturbance Rejection Control (ADRC) is designed with the consideration of the practical application in engine speed control that is known as the Crank-angle (CA) based or event-based sampling and control, which means the sampling interval varies with the engine speed. Such a problem has not been discussed in any previous study regarding the application of ADRC in engine control. To this end, this paper discusses the convergence of the variable sampling rate based Extended State Observer (ESO), as well as its parameters that guarantee stability. To verify the proposed control scheme more properly, a cycle-detailed hybrid nonlinear engine model is employed. Finally, simulations are carried out on the Hardware-in-the-loop (HIL) system to assess the superiority of the proposed strategy. The comparative results with a Fuzzy-Proportional-Integral-Derivative (PID) controller demonstrate that the proposed control scheme has better adaptation to engine speed, load disturbances, and stronger robustness towards model uncertainties, which indicates a promising reduction of time and burden for calibrating the controller. It also proved that the proposed CA based ADRC by variable sampling rate method outperforms the general fixed sampling rate ADRC, which is widely used in previous works. Moreover, the successful application of the proposed algorithm via CA based strategy in a real Engine Control Unit (ECU) indicates its huge potential in practical engine control.

The Application of ADRC in the Ship Main Engine Speed Controller Based on Genetic Algorithm

2011 ◽  
Vol 327 ◽  
pp. 17-22 ◽  
Author(s):  
Chang Shun Wang ◽  
Ying Bing Zhou ◽  
Wei Gang Pan ◽  
Yao Zhen Han ◽  
Feng Yu Zhou
Keyword(s):  
Genetic Algorithm ◽  
Engine Speed ◽  
Parameter Setting ◽  
Operating Environment ◽  
Control Techniques ◽  
Speed Controller ◽  
Disturbance Rejection Control ◽  
Marine Diesel ◽  
Self Tuning ◽  
Main Engine

Marine diesel engine electronic governor is an important component of the main engine monitoring system, the major problems of current electronics governor is that there is generally more obvious variable gain self-tuning in the main marine, as well as large changes in operating environment, vary speed requirements under different sea conditions. Traditional control methods can’t be satisfactory. To get a better effect, auto disturbance rejection control techniques is introduced. In this paper, the question of ADRC parameter setting is solved combined with genetic algorithm.

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