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.

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.

Controller Design for Different Electric Tail Rotor Operating Modes in Helicopters

2019 ◽  
Vol 33 (08) ◽  
pp. 1959022
Author(s):  
Peng Tang ◽  
Fei Wang ◽  
Yuehong Dai
Keyword(s):  
Disturbance Rejection ◽  
Electric Propulsion ◽  
Controller Design ◽  
Propulsion System ◽  
Operating Modes ◽  
Speed Controller ◽  
Speed Tracking ◽  
Disturbance Rejection Control ◽  
Self Tuning ◽  
The Stability

The nonlinear aerodynamics and new kinds of operation associated with helicopter electric tail rotors (ETRs) make accurate speed tracking control under complex flight conditions a key challenge confronting designers. In this paper, we present an electric propulsion system for tail rotors that uses a high-power-density permanent magnet motor. The management of aerodynamic disturbance rejection and accurate speed control are aspects of ETR design that require particularly close attention. To this end, we have developed a speed controller that is based on an active disturbance rejection control (ADRC) technique that can handle fixed speed and adjustable pitch-angle modes. We have also applied a linear extended state observer (LESO) with a self-tuning bandwidth to estimate fluctuations in the drive system. For variable speeds, a simple controller combined with an adaptive radial basis function (RBF) observer and nonlinear state error feedback using ADRC was designed to replace LESO while avoiding any dependence on the system parameters. The stability of the controllers was analyzed and their effectiveness was verified using a simulation platform. Test results showed that the propulsion system is able to achieve fast dynamic response and aerodynamic disturbance rejection.

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