Design of Ship Main Engine Speed Controller Based on Fuzzy Adaptive Active Disturbance Rejection Technique

2010 ◽  
Author(s):  
Weigang Pan ◽  
Feng Chen
Keyword(s):  
Disturbance Rejection ◽  
Engine Speed ◽  
Speed Controller ◽  
Active Disturbance Rejection ◽  
Main Engine ◽  
Fuzzy Adaptive

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 Vertical Profile Diving and Floating Motion Control of the Underwater Glider Based on Fuzzy Adaptive LADRC Algorithm

2021 ◽  
Vol 9 (7) ◽  
pp. 698
Author(s):  
Zhiguang Wang ◽  
Caoyang Yu ◽  
Mingjie Li ◽  
Baoheng Yao ◽  
Lian Lian
Keyword(s):  
Disturbance Rejection ◽  
Control Method ◽  
Underwater Glider ◽  
Precise Control ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Long Duration ◽  
Wide Range ◽  
Marine Environmental ◽  
Fuzzy Adaptive

The underwater glider is a kind of novel invention that has been proven to be perfect for long-duration, wide-range marine environmental monitoring tasks. It is controlled by changing the buoyancy and adjusting the posture. For precise control of the underwater glider’s trajectory, a fuzzy adaptive linear active disturbance rejection control (LADRC) is designed in this paper. This controller allows the glider to dive to a predetermined depth precisely and float at a specific depth. In addition, the controller takes some important factors into account, such as model uncertainty, environmental disturbances, and the limited dynamic output of the actual mechanical actuator. Finally, simulation results show the superiority of this fuzzy adaptive LADRC control method. Particularly, when the underwater glider was controlled to dive 100 m at a predetermined attitude angle θ = −1 rad, the maximum overshoot of FLADRC is reduced by 75.1%, 56.6% relative to PID, LADRC, respectively.

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