Aeroengine Multivariable Nonlinear Tracking Control Based on Uncertainty and Disturbance Estimator

2014 ◽  
Vol 136 (12) ◽  
Author(s):  
Lingfei Xiao
Keyword(s):  
Tracking Control ◽  
Control Method ◽  
Reference Model ◽  
Robust Tracking Control ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Control Approach ◽  
Nonlinear Tracking ◽  
Uncertainty And Disturbance Estimator ◽  
Disturbance Estimator

The multivariable robust tracking control problem for aeroengine is considered in this paper. On the basis of the aeroengine nonlinear affine uncertain dynamic model, and according to uncertainty and disturbance estimator (UDE) control approach, a novel aeroengine multivariable robust nonlinear tracking control method is presented in order to provide favorable tracking and disturbance rejection performance. After getting a generalization form of UDE-based aeroengine multivariable controller, a simplification form of control law is obtained when a specified form of low-pass filter is applied. Reference model of the aeroengine system should have satisfying dynamic, thus an optional reference model is provided. Simulation on a twin-shaft aeroengine with two inputs, verifies the effectiveness of the proposed method.

Robust Attitude Tracking Control for a Quadrotor Based on the Uncertainty and Disturbance Estimator

2015 ◽  
Author(s):  
Jiguo Dai ◽  
Qi Lu ◽  
Beibei Ren ◽  
Qing-Chang Zhong
Keyword(s):  
Tracking Control ◽  
Control Method ◽  
Controller Design ◽  
Tracking Error ◽  
Experimental Studies ◽  
Attitude Tracking ◽  
Uncertainty And Disturbance Estimator ◽  
Error Dynamics ◽  
Attitude Tracking Control ◽  
Disturbance Estimator

In this paper, a robust control method based on the uncertainty and disturbance estimator (UDE) is developed to achieve the attitude tracking control for a quadrotor. To facilitate the control design, the coupled terms in the roll, pitch and yaw dynamics are lumped into the uncertainty term and the remained dynamics can be regarded as decoupled subsystems. As a result, for each subsystem, the lumped uncertainty term contains all the coupled terms, uncertainties and disturbances, then the UDE method is applied for the uncertainty compensation. Compared with the existing UDE control works, the introduced filtered tracking error dynamics simplifies the controller design and implementation. Furthermore, the stability analysis of the closed-loop system is established and experimental studies are carried out to illustrate the effectiveness of the developed control method.

A Robust Nonlinear Tracking Control Approach for Multi-Body Flexible Dynamic Systems

2006 ◽  
Author(s):  
X. Xue ◽  
J. Tang
Keyword(s):  
Dynamic Systems ◽  
Tracking Control ◽  
Sliding Mode ◽  
Design Procedure ◽  
Variable Structure ◽  
Continuous Control ◽  
Robust Tracking Control ◽  
Control Approach ◽  
Nonlinear Tracking ◽  
Equivalent Control

In this research, a multi-input multi-output (MIMO) integral continuous sliding mode design approach is proposed to achieve multi-objective robust tracking control for nonlinear dynamic systems. Instead of employing the equivalent control and switching control concepts in conventional variable structure methodology, here we develop a new design procedure using continuous control law with a tunable order of state feedback. As a result, the chattering phenomenon can be completely eliminated and the control sensitivity can be adjusted using the proposed sensitivity parameter. This design procedure can be applied to a general class of mechanical systems. The performance of the controller is verified using a series of simulation studies on flexible rotating beam and robotic manipulator.

Active Disturbance Compensating Tracking Control of an Unmanned Quadrotor Helicopter

2015 ◽  
Author(s):  
Zhixiang Liu ◽  
Xiang Yu ◽  
Chi Yuan ◽  
Youmin Zhang ◽  
Jun Luo
Keyword(s):  
Tracking Control ◽  
Control Method ◽  
Stable Operation ◽  
Closed Loop System ◽  
Control Approach ◽  
Unmanned Quadrotor Helicopter ◽  
Quadrotor Helicopter ◽  
Adaptive Compensator ◽  
Feedback Tracking ◽  
Disturbance Estimator

In this paper, a novel active disturbance compensating tracking control method is presented with applications to an unmanned quadrotor helicopter. First, a normal state feedback tracking controller is optimized to guarantee stable operation in a calm environment and then, a retrofit control mechanism including a disturbance estimator and an adaptive compensator are developed that asymptotically stabilize the closed-loop system in the presence of constant external force disturbances. To evaluate the presented scheme, numerical simulations based on a nonlinear quadrotor helicopter model are conducted by comparing the performance of a normal control method and the proposed control approach.

Application of Slipped-Window Integrator and Repetitive Predictor in APF

2014 ◽  
Vol 556-562 ◽  
pp. 3585-3589
Author(s):  
Meng Qiong Wang ◽  
Chun Yu Xu
Keyword(s):  
Tracking Control ◽  
Pulse Width Modulation ◽  
Time Lag ◽  
Active Power Filter ◽  
Active Power ◽  
Modulation Method ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Power Filter ◽  
Low Pass

In view of the shortages time lag existing in traditional digital low-pass filter in Active Power Filter (Active Power Filter, APF), this paper proposes to adopt slipped-window integrator to realize low-pass filter in harmonic current detection.The current tracking control uses Space Vector Pulse Width Modulation method. Meanwhile, the repetitive predictor is applied so as to improve the real-time performance of the compensation current tracking control. Built a three-phase shunt active power filter simulation model in Matlab/Simulink environment and take experiment under the low pressure condition. The results show that slipped-window integrator and deadbeat current mothod can acquire good dynamic response performance as well as high precision.

scholarly journals Modeling and Control of Fuel Cell/Supercapacitor Hybrid Source Based on Energetic Macroscopic Representation

2021 ◽  
Vol 297 ◽  
pp. 01049
Author(s):  
Mohamed Haidoury ◽  
Hatim Jbari ◽  
Mohammed Rachidi
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Primary Source ◽  
Proton Exchange ◽  
Secondary Source ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Modeling And Control ◽  
Control Approach ◽  
Dynamic Simulator

In this paper, we present a dynamic simulator that uses a proton exchange membrane fuel cell (PEMFC). This source, is used as a primary source with a supercapacitor (SC) considered as a secondary source. This simulator integrates a PEMFC’s dynamic model, validated on the Bahia bench and a semi-empirical model of SC. The developed model is implemented using the macroscopic energetic representation tool (EMR). The energy management system (EMS) is based on rule-based power management, where a low-pass filter splits the power among sources (PEMFC and SCs) using a cut-off frequency of 0.2Hz, and a controller block that regulates the bus voltage deduced by the EMR’s inversion-based control approach.

scholarly journals Regenerative Battery Charging Control Method for PMSM Drive without a DC/DC Converter

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1126
Author(s):  
Ko ◽  
Park ◽  
Lee
Keyword(s):  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Voltage Control ◽  
Control Methods ◽  
Motor Speed ◽  
Battery Charging ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Charging Control ◽  
Low Pass

This paper illustrates regenerative battery charging control method of the permanent magnet synchronous motor (PMSM) drive without DC/DC converter. Conventional control methods for battery current and voltage control methods generally use a bidirectional DC/DC converter for regenerative control. The reason to use this DC/DC converter is the DC-Link current ripple of the inverter of is affected by switching of the inverter and the motor speed. This problem causes to use a low pass filter (LPF) for sensing the DC-link current, however, it occurs deteriorating the control performance. In this paper, battery current and voltage control methods using only the motor drive are illustrated. To control the DC-link current, power control is performed using the look-up table (LUT) data that are extracted from the experiment. In addition, an applicable method for the variable DC-link voltage of the proposed regenerative control method is illustrated.

scholarly journals Visual Feedback Control of a Rat Ankle Angle Using a Wirelessly Powered Two-Channel Neurostimulator

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2210
Author(s):  
Masaru Takeuchi ◽  
Keita Watanabe ◽  
Kanta Ishihara ◽  
Taichi Miyamoto ◽  
Katsuhiro Tokutake ◽  
...  
Keyword(s):  
Feedback Control ◽  
Ankle Joint ◽  
Visual Feedback ◽  
Peripheral Nerves ◽  
Control Method ◽  
Plantar Flexion ◽  
Receiver Coil ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Visual Feedback Control

Peripheral nerve disconnections cause severe muscle atrophy and consequently, paralysis of limbs. Reinnervation of denervated muscle by transplanting motor neurons and applying Functional Electrical Stimulation (FES) onto peripheral nerves is an important procedure for preventing irreversible degeneration of muscle tissues. After the reinnervation of denervated muscles, multiple peripheral nerves should be stimulated independently to control joint motion and reconstruct functional movements of limbs by the FES. In this study, a wirelessly powered two-channel neurostimulator was developed with the purpose of applying selective FES to two peripheral nerves—the peroneal nerve and the tibial nerve in a rat. The neurostimulator was designed in such a way that power could be supplied wirelessly, from a transmitter coil to a receiver coil. The receiver coil was connected, in turn, to the peroneal and tibial nerves in the rat. The receiver circuit had a low pass filter to allow detection of the frequency of the transmitter signal. The stimulation of the nerves was switched according to the frequency of the transmitter signal. Dorsal/plantar flexion of the rat ankle joint was selectively induced by the developed neurostimulator. The rat ankle joint angle was controlled by changing the stimulation electrode and the stimulation current, based on the Proportional Integral (PI) control method using a visual feedback control system. This study was aimed at controlling the leg motion by stimulating the peripheral nerves using the neurostimulator.

Sign in / Sign up

Export Citation Format

Share Document