scholarly journals Current Driver Design for Electromagnetic Coil Using Adaptive Active Disturbance Rejection Control

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongtao Zhu ◽  
Xiaoting Rui ◽  
Fufeng Yang ◽  
Wei Zhu
Keyword(s):  
Real Time ◽  
Disturbance Rejection ◽  
Least Squares Method ◽  
Parameter Tuning ◽  
Parameters Estimation ◽  
Recursive Least Squares ◽  
Order System ◽  
Electromagnetic Coil ◽  
Active Disturbance Rejection ◽  
Adaptive Ability

An adaptive active disturbance rejection controller is used in the current driver design of the electromagnetic coil. Extended state observer of the 1st-order system is adopted for disturbance observation of ADRC. The supervised recursive least squares method is proposed for real-time parameters estimation, in which the excitation signal variance is used to trigger the parameter estimator. The experimental results demonstrate that ADRC combined with real-time parameter estimation simplifies the parameter tuning and improves the parameter adaptive ability.

Real-Time Self-Tuning Speed Controller: Performance Comparison between Engine Fuelled with Palm Methyl Esters and Petroleum Diesel

2015 ◽  
Vol 815 ◽  
pp. 408-412
Author(s):  
M.N. Azuwir ◽  
Mohd Sazli Saad ◽  
Mohd Zakimi Zakaria
Keyword(s):  
Real Time ◽  
Least Squares Method ◽  
Methyl Esters ◽  
Performance Comparison ◽  
Parameters Estimation ◽  
Recursive Least Squares ◽  
Model Parameters ◽  
Automotive Engine ◽  
Speed Controller ◽  
Self Tuning

This paper investigates the performance of a real-time self-tuning speed controller designed to track and regulate at various engine speeds. The controller was tested with an automotive engine fuelled with petroleum diesel and and palm oil biodiesel (Palm Methyl Esters) within speed range of 1800 rpm to 2400 rpm. A self-tuning control algorithm based on pole assignment method together with on-line model parameters estimation strategy based on the recursive least squares method are adopted. The ability of the controller to track, regulate at various engine speed and also to reject disturbances applied for both type of fuel are compared and presented. The results confirmed that the controller performed very satisfactorily.

scholarly journals Real-time fractional order system identification using recursive least squares method

2020 ◽  
Vol 5 (2) ◽  
pp. 138-141
Author(s):  
Walid TOUIL ◽  
Samir LADACI ◽  
Abdelhafid CHAABI
Keyword(s):  
Least Squares ◽  
Real Time ◽  
Fractional Order ◽  
Least Squares Method ◽  
Original System ◽  
Recursive Least Squares ◽  
Order System ◽  
Recursive Least Squares Method ◽  
Real Time Identification ◽  
Fractional Order Integral

In this paper, we address the problem of fractional order systems real-time identification based on recursive least squares technique. The fractional order model is approximated using the Charef Singularity function method and Grünwald numerical approximation for fractional order integral and derivative. We show by numerical simulation example that the identified model represents the original system efficiently.

Real-Time Diagnosis of the Exhaust Recirculation in Diesel Engines Using Least-Squares Parameter Estimation

2009 ◽  
Vol 132 (1) ◽  
Author(s):  
Javad Mohammadpour ◽  
Karolos Grigoriadis ◽  
Matthew Franchek ◽  
Benjamin J. Zwissler
Keyword(s):  
Diesel Engine ◽  
Least Squares ◽  
Real Time ◽  
Diesel Engines ◽  
Least Squares Method ◽  
Recursive Least Squares ◽  
Low Flow ◽  
Robust Version ◽  
Orifice Flow ◽  
Gas Recirculation

In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck.

scholarly journals Active Disturbance Rejection Control Design Using the Optimization Algorithm for a Hydraulic Quadruped Robot

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Yuqi Fan ◽  
Junpeng Shao ◽  
Guitao Sun ◽  
Xuan Shao
Keyword(s):  
Disturbance Rejection ◽  
Search Algorithm ◽  
Parameter Tuning ◽  
Quadruped Robot ◽  
Search Problem ◽  
Lévy Flight ◽  
Control Performance ◽  
External Interference ◽  
Levy Flight ◽  
Active Disturbance Rejection

To increase the robustness and control precision of a hydraulic quadruped robot and simultaneously enhance the dynamic and steady characteristic of the hydraulic system, an active disturbance rejection controller (ADRC) tuned using the Lévy-flight beetle antennae search algorithm (LBAS) was proposed. Moreover, the designed controller was used in the hydraulic quadruped robot to enhance the control performance and restrain the disturbances. The use of the Lévy-flight trajectory in the advanced algorithm can help increase the search speed and iteration accuracy. In the LBAS-ADRC, the parameter tuning method is adopted to develop the active disturbance rejection controller enhanced using the beetle antennae search algorithm. When implemented in the hydraulic quadruped robot, the LBAS-ADRC can ensure satisfactory dynamic characteristics and stability in the presence of external interference. In particular, in the proposed method, the ADRC parameter search problem is transformed to a sixteen-dimensional search problem, the solution of which is identified using the Lévy-flight beetle antennae search algorithm. Moreover, three different algorithms are implemented in the active disturbance rejection controller tuning problem to demonstrate the control performance of the proposed controller. The analysis results show that the proposed controller can achieve a small amplitude overshoot under complex and changeable environments.

Lower-Order Active Disturbance Rejection Control and Frequency Analysis of High Order System

2017 ◽  
Author(s):  
Ruiqing Zhang ◽  
Shubo Zhang ◽  
Yali Xue ◽  
Yu Hu ◽  
Wendi Wang
Keyword(s):  
Transfer Function ◽  
Frequency Analysis ◽  
Lower Order ◽  
Disturbance Rejection ◽  
High Order ◽  
Order System ◽  
Active Disturbance Rejection Control ◽  
High Order System ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

Linear active disturbance rejection control (LADRC) has been paid much attention in academic and industrial fields. However, the selection of the order for LADRC controller design and the choice of parameter b0 in system correcting are key facts which are still being faced by designer. In this paper, an effective method about how to select the order of LADRC and the parameter b0 is given first. Frequency analysis often used by engineers for designing controller, the normal transfer function form of LADRC is constructed, so the loop gain, close loop transfer function and disturbance transfer function to a general high-order system are presented and can be easily used. The example shows that the proposed method is easy to apply and verified the lower-order LADRC can obtain the better effective than PID and high-order LADRC, and the frequency response analysis of a thermal power plant is elaborated and the simulation result indicates that LADRC has a strong robustness against the large variation of parameters in the plant mode.

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