High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties

Yao, Jianyong; Zhang, Jiao; Ma, Dawei; Yan, Liang

doi:10.1109/tmech.2013.2252360

Cited by 452 publications

(317 citation statements)

References 38 publications

Supporting

Mentioning

316

Contrasting

Order By: Relevance

“…For example, the structured and unstructured uncertainties were both considered to achieve high performance using the robust and adaptive controller for hydraulic rotary actuators. 7 Adaptive back-stepping controller was proposed to increase the tracking performance of hydraulic actuators with the context of the parametric uncertainties, unconsidered dynamics, and external disturbances. 9 The parameter uncertainty external disturbances, actuator saturation, and performance constraints were taken into account for stabilizing the attitude of vehicle using the constrained adaptive robust control technology.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Flexible performance design for the H_∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

Dong

Liu

Yao

et al. 2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

This article introduces a new H ' loop-shaping control to decrease the complexity of the appropriate selection of the required performance for a coaxial rotor helicopter with unpredicted or unknown unstructured uncertainties. Uncertainty models are normally assumed that some knowledge of type is known. And to model a particular uncertainty as a separate model is necessary in the high-performance design of specified applications. But to model each particular uncertainty will increase the complexity of performance design for the extremely complex plant. H ' loop-shaping control provides a competitive and flexible choice to simultaneously represent a family of unpredicted and unconsidered unstructured uncertainty bounded by H ' norm. Many researches have been conducted to consider some aspects of this method, for example, the nominal stability, robustness to uncertainty, and implementation issues. However, to decrease the complexity of the appropriate selection of the required performance was not considered seriously. Therefore, a sufficient set of stable condition is derived using linear matrix inequality approach to provide the flexible performance design considering unpredicted and unknown unstructured uncertainties. Furthermore, the proposed method is applied to stabilize the attitude subsystem of a reconstructed coaxial rotor helicopter. Simulations indicate the effectiveness of the proposed method in the step response.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED: Flexible performance design for the H_∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

Dong

Liu

Yao

et al. 2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…17 We have to mention that there are other methods based on constrained adaptive control approaches that can solve the constrained control problem posed in this work. [18][19][20][21] In this work, the model predictive controller with constraints on the control signal is used to control the water level of a tank over an RF link. We note that we are using only a single system instead of multiple systems (network).…”

Section: Introductionmentioning

confidence: 99%

Wireless model predictive control: Application to water-level system

Hedjar

Bounkhel

2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

This article deals with wireless model predictive control of a water-level control system. The objective of the model predictive control algorithm is to constrain the control signal inside saturation limits and maintain the water level around the desired level. Linear modeling of any nonlinear plant leads to parameter uncertainties and non-modeled dynamics in the linearized mathematical model. These uncertainties induce a steady-state error in the output response of the water level. To eliminate this steady-state error and increase the robustness of the control algorithm, an integral action is included in the closed loop. To control the water-level system remotely, the communication between the controller and the process is performed using radio channel. To validate the proposed scheme, simulation and real-time implementation of the algorithm have been conducted, and the results show the effectiveness of wireless model predictive control with integral action.

show abstract

“…The authors in [28] have presented an adaptive controller based on the robust integral of the error signal to deal with modeling uncertainties of the system, and the feedback gain is reduced. In [29], the robust adaptive control ensures uniform boundedness of the thruster assisted position mooring system which is in the transverse direction under the ocean current disturbance.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Neural Network Control for Nonlinear Hydraulic Servo-System with Time-Varying State Constraints

2017

Complexity

View full text Add to dashboard Cite

An adaptive neural network control problem is addressed for a class of nonlinear hydraulic servo-systems with time-varying state constraints. In view of the low precision problem of the traditional hydraulic servo-system which is caused by the tracking errors surpassing appropriate bound, the previous works have shown that the constraint for the system is a good way to solve the low precision problem. Meanwhile, compared with constant constraints, the time-varying state constraints are more general in the actual systems. Therefore, when the states of the system are forced to obey bounded time-varying constraint conditions, the high precision tracking performance of the system can be easily realized. In order to achieve this goal, the time-varying barrier Lyapunov function (TVBLF) is used to prevent the states from violating time-varying constraints. By the backstepping design, the adaptive controller will be obtained. A radial basis function neural network (RBFNN) is used to estimate the uncertainties. Based on analyzing the stability of the hydraulic servo-system, we show that the error signals are bounded in the compacts sets; the time-varying state constrains are never violated and all singles of the hydraulic servo-system are bounded. The simulation and experimental results show that the tracking accuracy of system is improved and the controller has fast tracking ability and strong robustness.

show abstract

High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties

Cited by 452 publications

References 38 publications

RETRACTED: Flexible performance design for the H_∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

RETRACTED: Flexible performance design for the H_∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

Wireless model predictive control: Application to water-level system

Adaptive Neural Network Control for Nonlinear Hydraulic Servo-System with Time-Varying State Constraints

Contact Info

Product

Resources

About

High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties

Cited by 452 publications

References 38 publications

RETRACTED: Flexible performance design for the H∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

RETRACTED: Flexible performance design for the H∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

Wireless model predictive control: Application to water-level system

Adaptive Neural Network Control for Nonlinear Hydraulic Servo-System with Time-Varying State Constraints

Contact Info

Product

Resources

About

RETRACTED: Flexible performance design for the H_∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter

RETRACTED: Flexible performance design for the H_∞ loop-shaping control based on the linear matrix inequality approach: Application to the coaxial rotor helicopter