Intelligent Proportional–Integral–Derivative Control-Based Modulating Functions for Laser Beam Pointing and Stabilization

Ndoye, Ibrahima; Asiri, Sharefa; Aloufi, Adil; Al-Awan, A.; Laleg‐Kirati, Taous‐Meriem

doi:10.1109/tcst.2018.2884197

Cited by 22 publications

(14 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the MFBM can be considered as a generalization of the algebraic estimation method in some cases (see, e.g., [8]). Very recently, an intelligent proportional-integralderivative controller has been combined with the MFBM to enhance the performance and the robustness of the controlled system [9]. For more details about the MFBM, the reader can refer to [10] and [11].…”

Section: Introductionmentioning

confidence: 99%

Selection of Modulating Functions’ Design Parameters for Estimation Problems

Asiri

Liu

Laleg‐Kirati

2021

IEEE Control Syst. Lett.

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Selection of Modulating Functions’ Design Parameters for Estimation Problems

Asiri

Liu

Laleg‐Kirati

2021

IEEE Control Syst. Lett.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many studies have demonstrated that PID controllers were proved to be good control techniques for stabilizing the laser beam with minimal settling time but these classical control algorithms fail to get a good performance, specifically under vibration scenarios due to active disturbances. Thereafter, some researchers [9], [10] proposed model-free control (MFC) algorithms that take into account process uncertainties and modeling errors when designing the controller. However, modelfree control techniques are not able to account for practical constraints such as the amount of energy used to control the OWC systems.…”

Section: Introductionmentioning

confidence: 99%

Tracking Model Predictive Control Paradigm for Underwater Optical Communication

Alalwan

Albalawi

Laleg‐Kirati

2021

IEEE Open J. Commun. Soc.

Self Cite

View full text Add to dashboard Cite

High-precision positioning of two underwater mobile robots is investigated in this work. To achieve good performance in underwater communication, control algorithms are implemented to maintain the position of the receiver robot aligned with that of the transmitter in the presence of measurement noise and process uncertainty. Although recent research works have successfully integrated control algorithms with Extended Kalman Filter (EKF) estimator to track the desired position of the transmitter, other aspects besides the convergence to the equilibrium point such as operational constraints and input constraints were not taken into account within these controllers. Such inability of these control algorithms may degrade the performance of the controlled process. Motivated by the above considerations, a tracking Model Predictive Control (MPC) with an EKF-based estimator is developed to both estimate the process states online and drive the actual system to the desired equilibrium point while meeting input and state constraints. The closed-loop stability and the recursive feasibility of the proposed tracking MPC scheme are rigorously proved. To demonstrate the applicability of the proposed control design, the performance of the tracking MPC with that of the conventional Proportional (P), Proportional Integral Derivative (PID), and Linear Quadratic Regulator (LQR) controllers are compared.

show abstract

“…Chen et al (2020) proposed a combination of robust fractional-order control with nonlinear reset to overcome the fundamental linear control limitation, and it was validated on a precision positioning stage. An intelligent proportional-integral-derivative (i-PID) controller based on the so-called ultra-local model was presented (N'Doye et al, 2020), and its application to high-precision positioning of laser beams shows the robustness against active disturbances and uncertainties. Popescu et al (2021) used online state estimation to enhance classical PI controllers for the three axes of a scanning device, which resulted in an improvement of topographic imaging.…”

Section: Introductionmentioning

confidence: 99%

A large-stroke rapid motion controller for servo applications with speed and control constraints

Cheng

2021

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Large-stroke rapid motion is required in many industrial servo systems (e.g. pick-and-place applications), on which constraints of control input and motion speed are usually imposed. This paper presents a hybrid control scheme for large-stroke rapid motion in such systems. The controller resorts to the time-optimal control (TOC) for maximum acceleration initially and then switches into a linear control law to achieve smooth settling. A speed regulation stage is inserted in the tracking process to prevent violating the speed constraint. To tackle the unmeasured speed and unknown disturbance, an extended state observer (ESO) can be included in the controller. The controller is applied to a permanent magnet synchronous motor (PMSM) servo system for large-stroke position regulation. Digital simulation via MATLAB is conducted first, followed by an experimental verification using a TMS320F28335 board. The results confirm that the proposed controller can track a wide range of target references with desirable performance under speed constraint and load disturbance and has a competitive advantage over the popular active disturbance-rejection control (ADRC) scheme.

show abstract

Intelligent Proportional–Integral–Derivative Control-Based Modulating Functions for Laser Beam Pointing and Stabilization

Cited by 22 publications

References 34 publications

Selection of Modulating Functions’ Design Parameters for Estimation Problems

Selection of Modulating Functions’ Design Parameters for Estimation Problems

Tracking Model Predictive Control Paradigm for Underwater Optical Communication

A large-stroke rapid motion controller for servo applications with speed and control constraints

Contact Info

Product

Resources

About