High-Performance Adaptive Pressure Control in the Presence of Time Delays: Pressure Control for Use in Variable-Thrust Rocket Development

Alan, Anıl; Yıldız, Yıldıray; Poyraz, Umit

doi:10.1109/mcs.2018.2851009

Cited by 15 publications

(9 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Remark 9: Adaptation rates are important in terms of transient behavior, and therefore, their selection is important to obtain a successful model. There are some guidelines that can be used in the implementation, at least to start at a good initial condition for the tuning process [43], [44]. Consider a generic adaptive law θ = − e 1 , where is the adaptation rate matrix, e 1 is the tracking error, and is the vector of corresponding system signals.…”

Section: B Behavior Of the Adaptive Modelmentioning

confidence: 99%

A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation

Tohidi

Yıldız

2022

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

This article proposes an adaptive human pilot model that is able to mimic the crossover model in the presence of uncertainties. The proposed structure is based on the model reference adaptive control, and the adaptive laws are obtained using the Lyapunov-Krasovskii stability criteria. The model can be employed for human-in-the-loop stability and performance analyses incorporating different types of controllers and plant types. For validation purposes, an experimental setup is employed to collect data and a statistical analysis is conducted to measure the predictive power of the pilot model.

show abstract

Section: B Behavior Of the Adaptive Modelmentioning

confidence: 99%

A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation

Tohidi

Yıldız

2022

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

show abstract

“…Adding robustness in this way may reduce the performances of the controller. Another solution could be the online identification of the plant model in the same style as the Model Reference Adaptive Control (MRAC) [23]. The problem in our case is that we need the identification of the actuators models.…”

Section: B Robustnessmentioning

confidence: 99%

Model Predictive Control Allocation of Systems with Different Dynamics

Kissai

Monsuez

Mouton

et al. 2019

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

View full text Add to dashboard Cite

Several systems are integrated in passenger cars. Some of them are just redundant systems due to safety requirements. Others, are completely different and can interact with each other as long as they are operating inside the same vehicle. Control allocation methods have been successfully implemented in advanced aircrafts to avoid conflicts, especially in the context of redundant systems. In this paper, we will rather focus on coordinating non-redundant advanced chassis systems with different dynamics. This difference in dynamics can be especially problematic when systems exhibit different communication delays. Model Predictive Control Allocation (MPCA) methods are therefore investigated in order to activate the right system at the right moment. Results show that particularly when the most effective system is saturated, another system with a different time delay can be activated few steps before saturation to instantly take over the maneuver. With good knowledge of actuator dynamics and higher computation power, MPCA methods are able to solve complex problems in severe situations.

show abstract

“…However, there are also uncertainties in system parameters, such as solid fuel regression and discharge coefficient [12]. Therefore, for effective pressure and thrust control of a VTSRM, it is essential to design the control algorithms considering the nonlinearity and uncertainty [13]. For these reasons, many studies have been carried out to solve the issues keeping these advantages of VTSRM, focusing on several concepts: control of thrust and combustion pressure [13][14][15][16], a reaction control system (RCS) composed of multiple nozzles for divert and attitude control [17][18][19][20], the flow characteristics by pintle shape using computational fluid dynamics (CFD) [21][22][23][24], the experiment using cold or hot gas [25,26], and a part of ramjet or scramjet to generate and control the fuel-rich combustion gas [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Control Strategies for a Variable-Thrust Solid-Propellant Rocket Motor

Cha

Oliveira

2022

Aerospace

View full text Add to dashboard Cite

This paper deals with a performance comparison of the control algorithm for a variable-thrust solid-propellant rocket motor (VTSRM). To do this, we develop a simulation model of a VTSRM considering characteristic changes in the combustor and design control systems for pressure and thrust. We use three types of control algorithms for the pressure control: classical PID control, feedback linearization control, and fuzzy PID control, and two control algorithms for thrust control: classical PID control and fuzzy PID control. Finally, we compare the performance of each control system through a numerical simulation using step responses. Through this work, we check that feedback linearization is better in pressure control, and fuzzy PID control is more appropriate in thrust control. Especially using fuzzy PID control, we can get fast settling with a small undershoot even if the system is a nonminimum phase system.

show abstract

High-Performance Adaptive Pressure Control in the Presence of Time Delays: Pressure Control for Use in Variable-Thrust Rocket Development

Cited by 15 publications

References 50 publications

A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation

A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation

Model Predictive Control Allocation of Systems with Different Dynamics

Performance Comparison of Control Strategies for a Variable-Thrust Solid-Propellant Rocket Motor

Contact Info

Product

Resources

About