Integration of genetic algorithm tuned adaptive fading memory Kalman filter with model predictive controller for active fault-tolerant control of cement kiln under sensor faults with inaccurate noise covariance

Veerasamy, Gomathi; Ramkumar, K.; Siddharthan, RakeshKumar; Muralidharan, G.; Venkatesh, S.; Amirtharajan, Rengarajan

doi:10.1016/j.matcom.2021.07.023

Cited by 17 publications

(7 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, according to the values in Table I, the theoretical resolutions of cross-range and range [50] are approximately equal to 1.03 cm and 1.36 cm respectively. In GA simulations, the value of constraint tolerance and the maximum number of generations [54,55] are considered equal to 6 10 − and 1000, respectively. In the simulations only related to extracting the backscatter frequency response (Examples 1 and 2), a provision has been made to evaluate the performance of the proposed approach independently of any particular scene.…”

Section: Resultsmentioning

confidence: 99%

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

Molaei

Kumar

et al. 2023

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

In this paper, to accelerate data acquisition and image reconstruction procedures in a multistatic short-range microwave imaging scenario, an orthogonal coding approach with Fourier domain processing is presented. First, a special twodimensional (2D) multiple-input multiple-output (MIMO) structure is introduced to fully electronically synthesize the 2D aperture. Then, the model of the transmitted and received signals by a MIMO stepped-frequency-modulated radar is presented, with special considerations about orthogonal, balanced and optimal sequences. On the receiver side, the backscatter frequency response extraction process is formulated with the aim of obtaining individual information of all channels. Finally, based on the introduced model, a fast Fourier-based algorithm with reduced dimensions, named MIMO coded generalized reduced dimension Fourier (CGRDF), is mathematically derived. It includes extracting phase and amplitude compensators with the aim of mapping 4D to 2D spatial data, transferring the backscatter transfer function from the spatial domain to the wavenumber domain, extracting the smoothing filter, compensating the curvature of the wavefront of all scatterers, extracting the reflectivity function and an additional range compensator. The results of numerical simulations show the satisfactory and reliable performance of the proposed approach in terms of the information retrieval process and processing speed.

show abstract

Section: Resultsmentioning

confidence: 99%

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

Molaei

Kumar

et al. 2023

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In general, the NMPC scheme is designed based on the discrete-time model of the system. Therefore, referring to Zhu et al [26] and Veerasamy et al [27], the ship model ( 5) can be discretized utilizing a sampling time of T s as:…”

Section: Discrete-time Nmpc Schemementioning

confidence: 99%

Real-Time Weight Optimization of a Nonlinear Model Predictive Controller Using a Genetic Algorithm for Ship Trajectory Tracking

Deng

Wang

et al. 2022

JMSE

View full text Add to dashboard Cite

This paper presents a weight optimization method for a nonlinear model predictive controller (NMPC) based on the genetic algorithm (GA) for ship trajectory tracking. The weight coefficients Q and R of the objective function in NMPC are obtained via the real-time optimization of the genetic algorithm instead of the trial and error method, which improves the efficiency and accuracy of the controller. In addition, targeted improvements are made to the internal crossover operator, mutation operator, crossover rate, and mutation rate of the genetic algorithm. The simulation comparison of trajectory tracking between NMPC with real-time-optimized weight coefficients and the one with constant coefficients is performed. Finally, the simulation result shows that the controller with real-time-optimized weight coefficients has a better trajectory tracking effect than that with constant weight coefficients.

show abstract

“…Considering that the GA has been intensively studied in the past decades, only a brief description is provided here. More details can be found in Reference 37. The basic steps in solving the optimization problem using the GA are illustrated in Figure 4.…”

Section: Tuning Of Parameters Using Genetic Algorithmmentioning

confidence: 99%

Dual‐terminal event‐triggered dynamic output feedback H∞ control for aero engine networked control systems with quantization

Wang

Shou-sheng

Peng

et al. 2022

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This study deals with the problem of dual‐terminal event‐triggered dynamic output feedback (DOF) control for aero engine networked control systems (NCSs) subject to network‐induced delay, external disturbance, and quantization effects. First, we established a generalized mathematical model of the aero engine. Second, a dual‐terminal dynamic event‐triggered mechanism (DETM) was designed to reduce the utilization of the network bandwidth. In addition, a DOF controller with a compensation function was proposed to stabilize the system. By utilizing the Lyapunov‐Krasovskii (LK) method, the stability criteria were determined. Accordingly, the design conditions of the DOF controller and DETMs were presented. Furthermore, based on a genetic algorithm (GA), a parameter tuning method was proposed to obtain the allowable delay upper bound with less conservatism. Finally, some examples were presented to show the effectiveness and superiority of the presented scheme.

show abstract

Integration of genetic algorithm tuned adaptive fading memory Kalman filter with model predictive controller for active fault-tolerant control of cement kiln under sensor faults with inaccurate noise covariance

Cited by 17 publications

References 40 publications

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

Real-Time Weight Optimization of a Nonlinear Model Predictive Controller Using a Genetic Algorithm for Ship Trajectory Tracking

Dual‐terminal event‐triggered dynamic output feedback H∞ control for aero engine networked control systems with quantization

Contact Info

Product

Resources

About