Fuzzy Adaptive Control Law for Trajectory Tracking Based on a Fuzzy Adaptive Neural PID Controller of a Multi-rotor Unmanned Aerial Vehicle

Mendoza, Abigail María Elena Ramírez; Yu, Wen

doi:10.1007/s12555-021-0299-2

Cited by 12 publications

(6 citation statements)

References 27 publications

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“…Medical equipment as one of the main means of modern auxiliary doctors to cure patients, requires extremely high precision, so reasonable analysis of the advantages and disadvantages of proportional control, can achieve better results. [8] Almost everywhere automation can be used, PID will make it more convenient and fine, such as in ship dynamic positioning [9], Multi-rotor UAV trajectory tracking based on fuzzy adaptive neural PID controller [10], etc.…”

Section: The Future Developmentmentioning

confidence: 99%

The control of proportional parqmeters helps in production and living

Dong

2023

ACE

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PLC, or programmable logic controller, is a type of microprocessor-based digital computing controller. It can be used for automatic control, storing and executing control instructions loaded into memory at any moment. In the process of classroom learning, the author learned about PLC, and the device to implement PLC is PLD, that is, a programming logic device, whose letters represent proportional controller, integral controller, and differential controller. In the process of learning, people noticed that proportional control is relatively simple compared with integral and differential control, but it is the most frequently used and widely used, so the author can't help but have a strong interest in proportional control. Through research and search, the working principle and working characteristics of the PLC were found because it has high reliability, convenient programming, adaptable setup, full input/output functional modules, and quick processing speed, which are used by many modern precision instruments. In the process of research, it was found that it was the K value that affected the proportional control, and the simulation using the false data image found that the model curve formed under different K values was also very different. Therefore, the research topic of this paper is the transformation of different graphics caused by the change of proportional control K in the PLC. The plots obtained by different K values are different, and the advantages and disadvantages of proportional control can be found.

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Section: The Future Developmentmentioning

confidence: 99%

The control of proportional parqmeters helps in production and living

Dong

2023

ACE

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“…The temporal-based approach effectively improves the accuracy of visual and acoustic pattern recognition tasks. Activation functions or membership functions with different forms, such as those by Sigmoid, Gaussian, Parabola, and Sigmoid-Gaussian, among others, have been developed in Zhao and Bose, Basterretxea et al, Xie et al, and Ramirez-Mendoza et al [26][27][28][29][30][31][32].…”

Section: Related Workmentioning

confidence: 99%

“…Different membership functions and approximations of activation functions have been proposed for various applications, such as seismic modeling of accelerograms and control, among others [26][27][28][29][30][31][32]. Following is the development of a spike membership function for unipolar inputs z in j , shown in Figure 1.…”

Section: Spike Activation Function Modelmentioning

confidence: 99%

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A New Spike Membership Function for the Recognition and Processing of Spatiotemporal Spike Patterns: Syllable-Based Speech Recognition Application

Ramírez-Mendoza

2023

Mathematics

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This paper introduces a new spike activation function (SPKAF) or spike membership function for fuzzy adaptive neurons (FAN), developed for decoding spatiotemporal information with spikes, optimizing digital signal processing. A solution with the adaptive network-based fuzzy inference system (ANFIS) method is proposed and compared with that of the FAN-SPKAF model, obtaining very precise simulation results. Stability analysis of systems models is presented. An application to voice recognition using solfeggio syllables in Spanish is performed experimentally, comparing the methods of FAN-step activation function (STEPAF)-SPKAF, Augmented Spiking Neuron Model, and Augmented FAN-STEPAF-SPKAF, achieving very good results.

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“…The optimal PID parameters are sought by using fuzzy control gain scheduling and online adaptation of proportional coefficient, so that the maximum power point tracking (MPPT) controller of photovoltaic system can achieve maximum rate operation in [19]. Reference [20] proposed a fuzzy adaptive control law to solve the problem of UAV traje-ctory tracking. The rotation angle of the UAV is estimated by the fuzzy controller, and the error of the flight trajectory is significantly reduced by the adaptive setting angle of the system.…”

Section: Introductionmentioning

confidence: 99%

Research on Route Tracking Controller of Quadrotor UAV Based on Fuzzy Logic and RBF Neural Network

Jia,

Lin,

et al. 2023

IEEE Access

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A proportional integral differential (PID) trajectory tracking control strategy based on fuzzy logic and RBF neural network is proposed for the trajectory stability tracking control of the quadrotor unmanned aerial vehicle (UAV) control system. Firstly, the trajectory tracking problem of UAV is transformed into the command tracking control problem of PID position control loop and PID attitude control loop by transformation. Then, the fuzzy control theory is used to adjust the PID parameter gain adaptively in real time, so as to overcome the shortcomings of the traditional PID parameters relying on experience and unable to adjust in real time according to the change of the system. At the same time, the online compensator of PID parameter gain is designed by using the attention mechanism of radial basis function (RBF) neural network, and the disturbance caused by the environmental impact of the system is suppressed by online learning and adjustment. Finally, the designed controller (RFPID) is compared with the PID controller and the fuzzy-PID (FPID) controller in three simulation environments. The experimental results show that the proposed controller can significantly improve the robustness and accuracy of the trajectory tracking control of the quadrotor UAV.INDEX TERMS Unmanned aerial vehicle (UAV), trajectory tracking control, PID, fuzzy logic control, RBF neural network.

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Fuzzy Adaptive Control Law for Trajectory Tracking Based on a Fuzzy Adaptive Neural PID Controller of a Multi-rotor Unmanned Aerial Vehicle

Cited by 12 publications

References 27 publications

The control of proportional parqmeters helps in production and living

The control of proportional parqmeters helps in production and living

A New Spike Membership Function for the Recognition and Processing of Spatiotemporal Spike Patterns: Syllable-Based Speech Recognition Application

Research on Route Tracking Controller of Quadrotor UAV Based on Fuzzy Logic and RBF Neural Network

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