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Nonlinear Dynamics pid control
Pid Control, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pid+controller/control+pid/pmc13139369-0-0-17
Average 86 stars, based on 1 article reviews
pid control - by Bioz Stars, 2026-10
86/100 stars

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other:

Article Title: Application of Fuzzy Moving Sliding Surface Approach for Container Cranes
Article Snippet: In this paper, we consider the fuzzy moving sliding surface anti-sway control problem for container cranes.. We first introduce the dynamic model of container cranes.. Then, we develop the coupled sliding surface which ensures the asymptotic stability of the closed-loop system.

Article Title: A control method of proton exchange membrane fuel cell gas supply system based on fuzzy neural network proportion integration differentiation algorithm
Article Snippet: With the rapid development of hydrogen fuel cell technology, the requirements for test equipment are continually advancing.. In this study, a test system for a 300 kW-class proton exchange membrane fuel cell (PEMFC) was designed and constructed, and a simulation model for the gas supply system was established using MATLAB/ Simulink.. On this basis, the fuzzy neural network proportion integration differentiation (FNN-PID) algorithm was proposed to optimize the control of the gas supply system.

Control:

Article Title: Robust fractional PID controller synthesis approach for the permanent magnetic synchronous motor
Article Snippet: In industry, the PMSM speed drive controls have received an increasing attention in recent years, due to its significant features such as super-density, high torque to the current ratio, fast response and simple control characteristics [1].. In control engineering, the performance qualities of the PMSM speed control depend heavily on the adequate choice of linear plant that modeled its dynamic behavior [2–4].. Unfortunately, the perfect linear models are rarely available in practice.

Article Title: Effect of levitation gap feedback time delay on the EMS maglev vehicle system dynamic response
Article Snippet: Because EMS maglev systems are inherently unstable, a large number of early studies conducted stability analyses based on single levitation control systems, and these studies typically linearized the system at the rated operation point [4, 6–8]. .. Shi and She (2005) analyzed the bifurcation condition and stability of the cascade PID controller from the perspective of nonlinear dynamics, which shows that a small-amplitude vibration may occur in a wide range of control parameters and may induce vehicle-bridge coupling resonance, which also fully indicates that the levitation control system has strong nonlinear characteristics, and the PID control parameters must be carefully selected to avoid maglev vehicle levitation instability [9]. ..

Article Title: Enhancing Quadcopter Autonomy: Implementing Advanced Control Strategies and Intelligent Trajectory Planning
Article Snippet: .. These optimized gains are essential in ensuring accurate and stable control of the system, allowing the fractional-order PID controller to regulate the trajectory effectively under the influence of nonlinear dynamics. ..

Article Title: Intelligent Control of Magnetic Ball Suspension Systems via a Novel Hyperbolic Tangent PID Controller Tuned by the Artificial Lemming Algorithm
Article Snippet: .. The eight decision variables represent the tunable parameters of the tanh-PID controller: proportional gain K p , integral gain K i , derivative gain K d , filter coefficient N , and four additional shaping parameters τ 1 , G 1 , τ 2 and G 2 that influence the nonlinear dynamics of the control system. ..



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Block diagram of proposed novel tanh-PID controller.

Journal: Biomimetics

Article Title: Intelligent Control of Magnetic Ball Suspension Systems via a Novel Hyperbolic Tangent PID Controller Tuned by the Artificial Lemming Algorithm

doi: 10.3390/biomimetics11030205

Figure Lengend Snippet: Block diagram of proposed novel tanh-PID controller.

Article Snippet: The eight decision variables represent the tunable parameters of the tanh-PID controller: proportional gain K p , integral gain K i , derivative gain K d , filter coefficient N , and four additional shaping parameters τ 1 , G 1 , τ 2 and G 2 that influence the nonlinear dynamics of the control system.

Techniques: Blocking Assay

Block diagram of proposed novel tanh-PID controller.

Journal: Biomimetics

Article Title: Intelligent Control of Magnetic Ball Suspension Systems via a Novel Hyperbolic Tangent PID Controller Tuned by the Artificial Lemming Algorithm

doi: 10.3390/biomimetics11030205

Figure Lengend Snippet: Block diagram of proposed novel tanh-PID controller.

Article Snippet: The eight decision variables represent the tunable parameters of the tanh-PID controller: proportional gain K p , integral gain K i , derivative gain K d , filter coefficient N , and four additional shaping parameters τ 1 , G 1 , τ 2 and G 2 that influence the nonlinear dynamics of the control system.

Techniques: Blocking Assay

Comparative responses of tanh-PID controllers optimized by different algorithms.

Journal: Biomimetics

Article Title: Intelligent Control of Magnetic Ball Suspension Systems via a Novel Hyperbolic Tangent PID Controller Tuned by the Artificial Lemming Algorithm

doi: 10.3390/biomimetics11030205

Figure Lengend Snippet: Comparative responses of tanh-PID controllers optimized by different algorithms.

Article Snippet: The eight decision variables represent the tunable parameters of the tanh-PID controller: proportional gain K p , integral gain K i , derivative gain K d , filter coefficient N , and four additional shaping parameters τ 1 , G 1 , τ 2 and G 2 that influence the nonlinear dynamics of the control system.

Techniques: