Control of non-minimum-phase nonlinear systems through constrained input-output linearization

Panjapornpon, Chanin; Soroush, Masoud

doi:10.1109/acc.2006.1657432

Cited by 6 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, linear systems based PID controllers do not always yield the best results . A recourse to global linearization techniques has been shown to yield promising results . Petre et al .…”

Section: Future Perspectivementioning

confidence: 99%

Integrating systems analysis and control for implementing process analytical technology in bioprocess development

Gomes

Chopda

Rathore

2014

J of Chemical Tech & Biotech

View full text Add to dashboard Cite

This paper provides a perspective on the increasingly critical role that systems analysis and process control play in bioprocess development today. This is particularly of importance to the manufacturers of biotech therapeutics since the product quality is critical and depends on the process and its control. Because a large number of process variables and raw materials can influence the overall outcome of a bioprocess, the correct determination of the process trajectory is often an intensive exercise. A follow-up involving design of a suitable process control strategy for implementation of process conditions would be logical. However, such an exercise can no longer consider each unit operation one at a time but rather requires holistic inclusion of all upstream and downstream unit operations for successfully meeting the global standards laid down by various regulatory agencies by exploring the potential of process analytical technology (PAT) to achieve bigger objectives. In this perspective, we focus on the core issues associated with process integration and how may these influence future process development.

show abstract

Section: Future Perspectivementioning

confidence: 99%

Integrating systems analysis and control for implementing process analytical technology in bioprocess development

Gomes

Chopda

Rathore

2014

J of Chemical Tech & Biotech

View full text Add to dashboard Cite

show abstract

“…Compared with the input state FBL method, which is based on adding hard constraints such as the second-order Lyapunov constraint to ensure the closed-loop stability in the case of NMP dynamics [19], the proposed method ensures a robust and stable closedloop for the NMP dynamics with actuator faults without any additional constraints.…”

Section: Introductionmentioning

confidence: 99%

Robust Control for Non-Minimum Phase Systems with Actuator Faults: Application to Aircraft Longitudinal Flight Control

et al. 2021

View full text Add to dashboard Cite

This study is concerned with developing a robust tracking control system that merges the optimal control theory with fractional-order-based control and the heuristic optimization algorithms into a single framework for the non-minimum phase pitch angle dynamics of Boeing 747 aircraft. The main control objective is to deal with the non-minimum phase nature of the aircraft pitching-up action, which is used to increase the altitude. The fractional-order integral controller (FIC) is implemented in the control loop as a pre-compensator to compensate for the non-minimum phase effect. Then, the linear quadratic regulator (LQR) is introduced as an optimal feedback controller to this augmented model ensuring the minimum phase to create an efficient, robust, and stable closed-loop control system. The control problem is formulated in a single objective optimization framework and solved for an optimal feedback gain together with pre-compensator parameters according to an error index and heuristic optimization constraints. The fractional-order integral pre-compensator is replaced by a fractional-order derivative pre-compensator in the proposed structure for comparison in terms of handling the non-minimum phase limitations, the magnitude of gain, phase-margin, and time-response specifications. To further verify the effectiveness of the proposed approach, the LQR-FIC controller is compared with the pole placement controller as a full-state feedback controller that has been successfully applied to control aircraft dynamics in terms of time and frequency domains. The performance, robustness, and internal stability characteristics of the proposed control strategy are validated by simulation studies carried out for flight conditions of fault-free, 50%, and 80% losses of actuator effectiveness.

show abstract

Monitoring and Control of Bioreactor: Basic Concepts and Recent Advances

Gomes

Chopda

Rathore

2018

Bioprocessing Technology for Production of Biopharmaceuticals and Bioproducts

View full text Add to dashboard Cite

Control of non-minimum-phase nonlinear systems through constrained input-output linearization

Cited by 6 publications

References 19 publications

Integrating systems analysis and control for implementing process analytical technology in bioprocess development

Integrating systems analysis and control for implementing process analytical technology in bioprocess development

Robust Control for Non-Minimum Phase Systems with Actuator Faults: Application to Aircraft Longitudinal Flight Control

Monitoring and Control of Bioreactor: Basic Concepts and Recent Advances

Contact Info

Product

Resources

About