Performance evaluation of a non linear PID controller using chaotic gravitational search algorithm for a twin rotor system

Sivadasan, J.; Shiney, J. Roscia Jeya

doi:10.1002/adc2.162

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…In [20], a PID controller based on PSO of a twin-rotor was used to stabilize the proposed system. A nonlinear PID controller using a chaotic gravitational search algorithm for a twin-rotor system was proposed in [21]. However, the strategies mentioned above only focused on PID controllers for UAV systems considering either raw PID or combined with neural networks or fuzzy logic rules.…”

Section: Modeling and Control Of Uavsmentioning

confidence: 99%

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Moness,

Abdelghany,

Mohammed

et al. 2024

Drones

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In the expeditiously evolving discipline of autonomous aerial robotics, the efficiency and precision of drone control deliveries have become predominant. Different control strategies for UAV systems have been thoroughly investigated, yet PID controllers still receive significant consideration at various levels in the control loop. Although fractional-order PID controllers (FOPID) have greater flexibility than integer-order PID (IOPID) controllers, they are approached with caution and hesitance. This is due to the fact that FOPID controllers are more computationally intensive to tune, as well as being more challenging to implement accurately in real time. In this paper, we address this problem by developing and implementing a surrogate-based analysis and optimization (SBAO) of a relatively high-order approximation of FOPID controllers. The proposed approach was verified through two case studies; a simulation quadrotor benchmark model for waypoint navigation, and a real-time twin-rotor copter system. The obtained results validated and favored the SBAO approach over other classical heuristic methods for IOPID and FOPID.

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Section: Modeling and Control Of Uavsmentioning

confidence: 99%

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Moness,

Abdelghany,

Mohammed

et al. 2024

Drones

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Lyapunov-based fractional-order PID controller design for coupled nonlinear system

Zaki,

Rashid,

Masud

2024

Transactions of the Institute of Measurement and Control

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Coupled nonlinear systems are difficult to control due to the adverse effects of uncertainties and coupling effects with increased sensor noise. This paper proposes an improved Lyapunov-based composite controller consisting of fractional-order proportional–integral–derivative (FOPID) and velocity-based disturbance observer to deal with the motion control of uncertain, nonlinear, and coupled system. FOPID utilizes the stable filtered error to facilitate the control development and stability analysis for the multi-input multi-output (MIMO) coupled system. Moreover, a disturbance observer is developed by utilizing the velocity signals to provide robustness against the disturbances and parametric uncertainties. Enhanced infinite order disturbance observer (EIFDOB) structure is used to improve the robustness of the introduced technique despite the high-frequency sensor noise. Stability analysis is provided to verify the introduced controller through the Lyapunov stability theorem, LaSalle’s invariance principle, and Barbalat’s lemma. Signal chasing is also presented to show that all signals are ultimately bounded. Comprehensive numerical simulations are performed on high-fidelity and coupled nonlinear model of the twin rotor MIMO system where the efficiency of the presented technique is examined against the external disturbances, matched uncertainties, and sensor noise. The results presented with different scenarios show that the proposed technique performed better with more robustness than FOPID and integer order proportional–integral–derivative.

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PID Controller Design for an E. coli Fed-Batch Fermentation Process System Using Chaotic Electromagnetic Field Optimization

Roeva,

Slavov,

Kralev

2024

Processes

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This paper presents an optimal tuning of a proportional integral differential (PID) controller used to maintain glucose concentration at a desired set point. The PID controller synthesizes an appropriate feed rate profile for an E. coli fed-batch cultivation process. Mathematical models are developed based on dynamic mass balance equations for biomass, substrate, and product concentration of the E. coli BL21(DE3)pPhyt109 fed-batch cultivation for bacterial phytase extracellular production. For model parameter identification and PID tuning, a hybrid metaheuristic technique—chaotic electromagnetic field optimization (CEFO)—is proposed. In the hybridization, a chaotic map is used for the generation of a new electromagnetic particle instead of the electromagnetic field optimization (EFO) search strategy. The CEFO combines the exploitation capability of the EFO algorithm and the exploration power of ten different chaotic maps. The comparison of the results with classical EFO shows the superior behaviour of the designed CEFO. An improvement of 30% of the objective function is achieved by applying CEFO. Based on the obtained mathematical models, 10 PID controllers are tuned. The simulation experiments show that the designed controllers are robust, resulting in a good control system performance. The closed-loop transient responses for the corresponding controllers are similar to the estimated models. The settling time of the control system based on the third PID controller for all estimated models is approximately 9 min and the overshoot is approximately 15%. The proposed CEFO algorithm can be considered an effective methodology for mathematical modelling and achievement of high quality and better performance of the designed closed-loop system for cultivation processes.

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Performance evaluation of a non linear PID controller using chaotic gravitational search algorithm for a twin rotor system

Cited by 3 publications

References 31 publications

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Lyapunov-based fractional-order PID controller design for coupled nonlinear system

PID Controller Design for an E. coli Fed-Batch Fermentation Process System Using Chaotic Electromagnetic Field Optimization

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