Particle Swarm Optimization-Based H∞ Tracking Fault Tolerant Control for Batch Processes

Wang, Jinru; Yu, Jinping

doi:10.1109/access.2021.3087939

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…Recently, meta-heuristic algorithms gained significant interest and demonstrated promising results in the multidimensional parameter optimisation of all types of nonconvex or non-smooth optimisation problems [13], [14]. Genetic algorithm (GA) [15], particle swarm optimisation algorithm (PSO) [16], gravitational search algorithm [17], grey wolf optimisation algorithm (GWO) [18], whale optimisation algorithm (WOA) [19], multi-verse optimisation algorithm (MVO) [20], and multi-objective grey wolf optimisation algorithm (MOGWO) [21] are highly preferred to find the optimum design parameters of any nonconvex problems. A PSO-based approach is proposed to optimise the weighting matrices of the optimal full-state controller (LQR) [22], [23].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimisation-based Robust H∞ Controller Design Approach for a Multi-Level DC-DC Voltage Regulator

Keskin

Aliskan

2023

ELEKTRON ELEKTROTECH

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In case an analytical approach to the selection of any weighting function is not possible, the selection process is usually a random and time-consuming process. In robust H∞ control theory, the selection of scalar, time, or frequency-dependent weighting functions is the main issue to shape the amplitude-frequency characteristic curve of the feedback controller. Therefore, we propose a robust H∞ control approach which utilises the multi-objective grey wolf optimisation algorithm (MOGWO) to obtain the optimal performance weighting functions in the presence of right half-plane zeros and limited bandwidth constraints. A trade-off design flowchart is proposed, providing Pareto optimal solutions to choose the optimal configuration of the robust feedback controller. The control method is structured by combining the robust H∞ optimal technique and the multi-objective algorithm. The effectiveness of the approach is compared with the non-convex single-objective heuristic solutions like the multi-verse optimisation algorithm (MVO), whale optimisation algorithm (WOA), and grey wolf optimisation algorithm (GWO). The focus of this design is to track and stabilise the output voltage of the DC-DC converter in the presence of external disturbances and parameter uncertainties. The optimised controllers are implemented using a digital signal processor (DSP) on a 200 W interleaved boost converter. The simulation results and experimental findings show that the proposed control method provides supreme disturbance rejection along with maintaining the stability of the system.

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Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimisation-based Robust H∞ Controller Design Approach for a Multi-Level DC-DC Voltage Regulator

Keskin

Aliskan

2023

ELEKTRON ELEKTROTECH

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A New Active Fault Tolerant Control System: Predictive Online Fault Estimation

Bavili

Mohammadzadeh²,

Tavoosi

et al. 2021

IEEE Access

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This study presents a new approach for active fault-tolerant controller (FTC) design for constrained nonlinear multi-variable systems. The proposed approach utilize the nonlinear model predictive controller (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). The deficiency of actuators and sensors and also the plant states measurement errors are estimated by the suggested approach. A supervisor unit using the fault information and fault modeling per sampling time, corrects the predictor model of the controller and compensates actuator and sensor faults in control system. Furthermore, by the presented feedback compensation, the robustness of the designed method against plant faults and uncertainties is ensured. The important advantages of the proposed method are:(1) The suggested FTC scheme based on NMPC leads to calculate more accurate control action than MPC in nonlinear processes, (2) it is comprehensive in fault accommodation point of view because it is able to compensate all types of faults in control systems simultaneously, (3) it has low computational cost because of using NMPC by analytical solution, (4) it can handle control and states constraints to prevent of actuator saturations and unsafe situations, (5) the simplicity and effectiveness of the designed FTC scheme for real applications is more significant. Simulation results on continuous stirred tank reactor process verifies the superiority and capability of the designed approach.

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Particle Swarm Optimization-Based H∞ Tracking Fault Tolerant Control for Batch Processes

Cited by 2 publications

References 35 publications

Multi-Objective Optimisation-based Robust H∞ Controller Design Approach for a Multi-Level DC-DC Voltage Regulator

Multi-Objective Optimisation-based Robust H∞ Controller Design Approach for a Multi-Level DC-DC Voltage Regulator

A New Active Fault Tolerant Control System: Predictive Online Fault Estimation

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