A New Approach of the Online Tuning Gain Scheduling Nonlinear PID Controller Using Neural Network

Ánh, Hồ Phạm Huy; Nam, Nguyen Thanh

doi:10.5772/15964

Cited by 3 publications

(2 citation statements)

References 14 publications

(18 reference statements)

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“…As the value range of the sigmoid function is (0, 1), the state of the gate is always half-open and half-closed. The input gate and forget gate in the gating system can be represented by Equations ( 34) and (35), respectively.…”

Section: The Forward Propagation Of Lstmmentioning

confidence: 99%

“…It has been utilized to control camera stabilizers, achieving the precise control of the stable position of the camera. The Dynamic Neural Network (DNN) can be used to tune the gain of the PID controller online [35], which is applied to control pneumatic artificial muscles. This improves the speed and performance of the control process, and features a dynamically self-organizing structure.…”

Section: Introductionmentioning

confidence: 99%

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A Temperature Control Method of Lysozyme Fermentation Based on LRWOA-LSTM-PID

Ding,

Li,

Zhou

et al. 2024

Processes

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In order to overcome the difficulty of parameter tuning caused by the large lag and time-varying nonlinearity of the tank for lysozyme fermentation, a temperature control method based on LRWOA-LSTM-PID is proposed in this paper. Firstly, according to the intrinsic mechanism of the fermenter, a temperature mechanism model based on a dynamic equation is designed, which can better reflect the temperature changes in the fermenter. Secondly, a Proportional Integral Derivative (PID) parameter tuning method based on a Long-Short Term Memory Network (LSTM) is proposed, which takes advantage of the ability of LSTM to learn time sequence information and obtains the variation trend between error sequences under continuous time sampling, thereby adjusting network weights more reasonably and accelerating PID parameter tuning. Finally, a Whale Optimization Algorithm (WOA) based on the Lévy flight and random walk strategy (LRWOA) is proposed for the initialization of LSTM parameters; this algorithm has excellent optimization capabilities and overcomes the problem of LSTM falling into local optimal solutions prematurely during parameter randomization. The results show that the method proposed in this paper can achieve rapid tuning of PID parameters, thereby improving the convergence speed of the system and reducing system overshoot.

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Section: The Forward Propagation Of Lstmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Temperature Control Method of Lysozyme Fermentation Based on LRWOA-LSTM-PID

Ding,

Li,

Zhou

et al. 2024

Processes

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Design and development of an exoskeletal wrist prototype via pneumatic artificial muscles

2015

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Full or partial loss of function in the shoulder, elbow or wrist is an increasingly common ailment caused by various medical conditions like stroke, occupational and sport injuries, as well as a number of neurological conditions, which increases the need for the development and improvement of upper limb rehabilitation devices. In this article, the design and implementation of the EXOskeletal WRIST (EXOWRIST) prototype is presented. This novel robotic appliance's motion is achieved via pneumatic artificial muscles, a pneumatic form of actuation possessing crucial attributes for the development of an exoskeleton that is safe, reliable, portable and low-cost. Furthermore, the EXOWR-IST's properties are presented in detail and compared to the recent wrist exoskeleton technology, while its two degrees-of-freedom movement capabilities (extension-flexion, ulnar-radial deviation) are experimentally evaluated via a PID-based control algorithm. Experimental results involving initial testing of the proposed exoskeleton on a healthy human volunteer for the preliminary evaluation of the EXOWRIST's attributes are also presented.

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Advanced Nonlinear PID-Based Antagonistic Control for Pneumatic Muscle Actuators

Ανδρικόπουλος

Nikolakopoulos

Manesis

2014

IEEE Trans. Ind. Electron.

121

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In this paper, the positioning control problem of pneumatic muscle actuators (PMAs) is being considered. A twodegree-of-freedom nonlinear proportional-integral-derivative structure is being synthesized, providing ameliorated compensation of the PMAs' nonlinear hysteretic phenomena and advanced robustness through disturbance cancellation. Experimental studies are being utilized to prove the overall efficiency of the proposed control scheme with regard to set-point tracking performance for the position control of a single PMA, torsion angle control of a nonsymmetrical antagonistic PMA setup, and disturbance rejection in both single and antagonistic control scenarios.Index Terms-Antagonistic setup, fluidic muscle, nonlinear proportional-integral-derivative (PID) control, pneumatic muscle actuator (PMA).

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A New Approach of the Online Tuning Gain Scheduling Nonlinear PID Controller Using Neural Network

Cited by 3 publications

References 14 publications

A Temperature Control Method of Lysozyme Fermentation Based on LRWOA-LSTM-PID

A Temperature Control Method of Lysozyme Fermentation Based on LRWOA-LSTM-PID

Design and development of an exoskeletal wrist prototype via pneumatic artificial muscles

Advanced Nonlinear PID-Based Antagonistic Control for Pneumatic Muscle Actuators

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