Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference

Xu, Xiaobin; Ma, Xue; Wen, Chenglin; Huang, Darong; Li, Jianning

doi:10.5755/j01.itc.47.3.19045

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…PID control algorithm is preferred for octorotor both longitudinal and lateral flight control. PID control algorithm is one of the first control algorithms proposed in classical control theory (Xu et al, 2018). PID controller simplicity, reliability and robust control are among its main advantages.…”

Section: Stochastic Gradient Descent and Control Algorithmmentioning

confidence: 99%

Stochastic optimal tuning for flight control system of morphing arm octorotor

Kose

2024

AEAT

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Purpose This study aims to discuss the simultaneous longitudinal and lateral flight control of the octorotor, a rotary wing unmanned aerial vehicle (UAV), for the first time under the effect of morphing and to improve autonomous flight performance. Design/methodology/approach This study aims to design and control the octorotor flight control system with stochastic optimal tuning under morphnig effect. For this purpose, models of different arm lengths of the octorotor were drawn in the Solidworks program. The morphing was carried out by simultaneously lengthening or shortening the arm lengths of the octorotor. The morphing rate was estimated by using simultaneous perturbation stochastic approximation (SPSA). The stochastic gradient descent algorithm, which is frequently used in machine learning, was used to estimate the changing moments of inertia with the change of arm lengths. The proportional integral derivative (PID) controller has been preferred as an octorotor control algorithm because of its simplicity of structure. The PID gains required to control both longitudinal and lateral flight were also estimated with SPSA. Findings With SPSA, three longitudinal flight PID gains, three lateral flight PID gains and one morphing ratio were estimated. PID gains remained within the limits set for SPSA, giving satisfactory results. In addition, the cost index created was 93% successful. The gradient descent algorithm used for the moment of inertia estimation achieved the optimum result in 1,570 iterations. However, in the simulations made with the obtained data, longitudinal and lateral flight was successfully carried out. Originality/value Octorotor longitudinal and lateral flight control was performed quickly and effectively with the proposed method. In addition, the desired parameters were obtained with the optimization methods used, and the longitudinal and lateral flight of the octorotor was successfully carried out in the desired trajectory.

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Section: Stochastic Gradient Descent and Control Algorithmmentioning

confidence: 99%

Stochastic optimal tuning for flight control system of morphing arm octorotor

Kose

2024

AEAT

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“…Compared with Bayesian theory, it needs weaker conditions so that it is often deemed as an extension of the Bayesian theory. D-S theory is widely applicated in many fields, such as decision making [6,22,30,44,71], pattern recognition [40,41,43,73], evidential reasoning [15,42,74,[83][84][85], risk and reliability [52,54], information fusion [59,61,75], uncertainty modelling [19,25,58] and conflict management [36,68,81].…”

Section: Dempster-shafer Evidence Theorymentioning

confidence: 99%

Risk Evaluation in Failure Mode and Effects Analysis Based on D Numbers Theory

Liu

Deng

2019

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Failure mode and effects analysis (FMEA) is a useful technology for identifying the potential faults or errors in system, and simultaneously preventing them from occurring. In FMEA, risk evaluation is a vital procedure. Many methods are proposed to address this issue but they have some deficiencies, such as the complex calculation and two adjacent evaluation ratings being considered to be mutually exclusive. Aiming at these problems, in this paper, A novel method to risk evaluation based on D numbers theory is proposed. In the proposed method, for one thing, the assessments of each failure mode are aggregated through D numbers theory. For another, the combination usage of risk priority number (RPN) and the risk coefficient newly defined not only achieve less computation complexity compared with other methods, but also overcome the shortcomings of classical RPN. Furthermore, a numerical example is illustrated to demonstrate the effectiveness and superiority of the proposed method.

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“…For example, it can lead to counterintuitive results when the evidence is highly conflicting [39][40][41], how to determine the basic assignment [42][43][44],how to measure the uncertainty of the evidence [45], and so on. Many applications are developed under the framework of Dempster-Shafer evidence theory [46][47][48][49]. Dempster-Shafer theory has also promoted the development of other theories, such as evidential reasoning [50][51][52][53], D numbers theory [54,55], Pignistic belief transform [56,57], and so on.…”

Section: Introductionmentioning

confidence: 99%

CBD: A New Divergence Measure for Complex Mass Function and its Application in Pattern Recognition

Luo

Xiao

2021

Preprint

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The theory of complex mass function is an effective method to deal with uncertainty information, and it is a generalized of Dempster-Shafer evidence theory. However, divergence measure is still an open issue in the realm of complex mass function theory. The main contribution of our paper is to propose a generalized divergence measure for complex mass function that is called complex belief divergence (CBD),which has the properties of symmetry, nonnegativity, nondegeneracy. When complex mass function degenerates into classical mass function, the CBD will degenerate into classical belief divergence, which has a better ability to measure uncertainty of information. Finally, a pattern recognition algorithm based on CBD is designed and applied to a medical diagnosis problem, which proves its practical prospect.

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Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference

Cited by 4 publications

References 13 publications

Stochastic optimal tuning for flight control system of morphing arm octorotor

Stochastic optimal tuning for flight control system of morphing arm octorotor

Risk Evaluation in Failure Mode and Effects Analysis Based on D Numbers Theory

CBD: A New Divergence Measure for Complex Mass Function and its Application in Pattern Recognition

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