Optimization design of uncertain parameters for improving the stability of photovoltaic system

2022 ◽  
Vol 521 ◽  
pp. 230959
Author(s):  
Feng Zhang ◽  
Xinhe Wang ◽  
Mingying Wu ◽  
Xinting Hou ◽  
Cheng Han ◽  
...  
2016 ◽  
Vol 04 (01) ◽  
pp. 5-13 ◽  
Author(s):  
Zhenhua Deng ◽  
Yiguang Hong

In this paper, distributed optimization control for a group of autonomous Lagrangian systems is studied to achieve an optimization task with local cost functions. To solve the problem, two continuous-time distributed optimization algorithms are designed for multiple heterogeneous Lagrangian agents with uncertain parameters. The proposed algorithms are proved to be effective for those heterogeneous nonlinear agents to achieve the optimization solution in the semi-global sense, even with the exponential convergence rate. Moreover, simulation adequately illustrates the effectiveness of our optimization algorithms.


2013 ◽  
Vol 552 ◽  
pp. 44-51
Author(s):  
Chen Wei Ning ◽  
Cao Jian Zhong ◽  
Yang Hong Tao ◽  
Zhang Jian ◽  
Fan Zhe Yuan ◽  
...  

Zoom lens has been widely applied in all kinds of fields, and its cam optimization is the key to actualizing the performance of its optical design and the zooming process, while the smoothness and speediness of zooming movement must be considered for military and civilian use. With the incremental use of environmental requirements, it puts forward higher requests to the cam performance of lens. In order to guarantee that the cam has good stiffness in the case of vibration and shock environment, in the process of cam design, it not only requires curve optimal, but also needs to consider influence on the performance which is caused by reduced cam stiffness of the zoom system. A fine curve can ensure that the cam pressure angle α is smaller, and to ensure the cam follower maintains the uniform velocity and smaller acceleration in zooming process, and make the zoom system produce little impact, and whole zooming process smooth and fluent, it can reduce the zoom systems driving moment M, and can ensure the stability imaging of the zoom system. Good cam stiffness K can make the zoom lens have good stability in vibration environment, and make sure that the image quality. M and K respectively up to the pressure angle α of zoom curve and the rotation angle θ of zoom curve in cam. In the new cam design process, considering the whole influence on the performance that is caused by K and M to cam, we construct the function expressions K = f (α, θ) and M = f (α, θ), and then, build target optimization function with K and M, optimize the relationship between pressure angle α of zoom curve and rotation angle θ, looking for the optimal value for the stiffness K and the cam system driving moment M , and improve overall performance of the zoom cam .


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Haipeng Su ◽  
Runzi Luo ◽  
Ling Xu ◽  
Meichun Huang ◽  
Jiaojiao Fu

This paper studies the control of a class of 3D chaotic systems with uncertain parameters and external disturbances. A new method which is referred as the analytical solution approach is firstly proposed for constructing Lyapunov function. Then, for suppressing the trajectories of the 3D chaotic system to its equilibrium point 00,0,0, a novel fast convergence controller containing parameter λ which determines the convergence rate of the system is presented. By using the designed Lyapunov function, the stability of the closed-loop system is proved via the Lyapunov stability theorem. Computer simulations are employed to a new chaotic system to illustrate the effectiveness of the theoretical results.


2017 ◽  
Vol 12 (5) ◽  
Author(s):  
Ali Ahmadian ◽  
Soheil Salahshour ◽  
Chee Seng Chan ◽  
Dumitur Baleanu

In a wide range of real-world physical and dynamical systems, precise defining of the uncertain parameters in their mathematical models is a crucial issue. It is well known that the usage of fuzzy differential equations (FDEs) is a way to exhibit these possibilistic uncertainties. In this research, a fast and accurate type of Runge–Kutta (RK) methods is generalized that are for solving first-order fuzzy dynamical systems. An interesting feature of the structure of this technique is that the data from previous steps are exploited that reduce substantially the computational costs. The major novelty of this research is that we provide the conditions of the stability and convergence of the method in the fuzzy area, which significantly completes the previous findings in the literature. The experimental results demonstrate the robustness of our technique by solving linear and nonlinear uncertain dynamical systems.


Author(s):  
Lixin Yang ◽  
Xianmin Zhang

A valve-controlled asymmetrical cylinder model was established to study the gripping hydraulic drive system of the grip device of heavy manipulator. Due to the strong nonlinear characteristics and uncertain parameters of the model, the Lyapunov stability principle was used to design a multistage inversion adaptive controller based on backstepping method and by introducing the virtual control parameter. The simulation results reveal that the tracking control and adaptive of uncertain parameters are very effective, which confirm that the designed controller can guarantee the stability of the closed-loop clamping hydraulic drive system.


2010 ◽  
Vol 97-101 ◽  
pp. 3215-3218
Author(s):  
Ye Sen Fan ◽  
San Min Wang ◽  
Zhen Yang

To study the stability margin sensitivity to the parameters of the geared rotor system is prerequisite to carry on structure optimization design and vibration control. The global dynamic equations of the geared two rotor system are set up through the coupled matrix of the spiral bevel gear pairs, and the stability margin is obtained by analyzing the global dynamic equations. To enhance the damping of the bearings and to enhance the module and mesh damping of the gear pairs can improve the stability margin of the geared rotor system. The method for the stability margin sensitivity analysis of the geared multi-rotor system is feasible. The conclusions from the numerical example are useful to improve the stability margin of the geared multi-rotor systems.


2019 ◽  
Vol 10 (1) ◽  
pp. 48-51
Author(s):  
Mohammad Hasib Al Isbilly ◽  
Tubagus Fahm ◽  
Markhaban Siswanto

The use of fossil energy as an electric fuel causes the earth to experience global-warming. As a tropical country, Indonesia has great potential to develop solar energy as a substitute for fossil energy. Increased efficiency in capturing sunlight will further optimize the work of the Solar Power Plant (PLTS). One way that can be done is by making a solar tracker so that the Solar Panel can follow the direction of the sun's motion. Optimization Design The solar tracker uses dual axis using Proportional Integral Differential (PID) control tuned with the Imperialis Competitive Algorithm (ICA), which is expected to be able to get the right angle between the yaw and Pitch with Azimuth and Elevation Angle. The PID-ICA controller design is done using matlab software. For vertical and horizontal rotary axes it is expected to obtain the best PID-ICA constant, which in turn will affect the performance and optimization of the photovoltaic system. The best optimization results using ICA-based PID with a settling time value of 0.0906 s on the horizontal axis and 0.094 s on the vertical axis


2012 ◽  
Vol 170-173 ◽  
pp. 3381-3384
Author(s):  
Li Xin Yang ◽  
Wan Sheng He ◽  
Xiao Jun Liu

we study the parameter identification of a class of non-autonomous chaotic system in this paper. Based on the stability theory, we implement accurate identification by suitable adaptive law are given to identify any uncertain parameters of a class of nonautonmous chaotic systems. Theory analysis and numerical simulations of Dufffing chaotic system is presented to verify that the adaptive control to identify the parameters are effective and feasible.


2014 ◽  
Vol 608-609 ◽  
pp. 721-725
Author(s):  
Rong Li ◽  
Wei Min Li

To further study the stability of vehicle dynamics, a vehicle handling stability’s nonlinear model (including longitudinal, lateral and yaw movement three degrees of freedom) was established. Genetic algorithm was proposed for the vehicle dynamics system’s equilibrium points with 3-DOF. This algorithm solves the problem that cannot be solved through the traditional analytic algorithms and numerical methods. Comparing with the existing research results, the feasibility of solving the equilibrium point by the genetic algorithm is verified. It provides the theoretical foundation for dynamic modification and optimization design of powertrain.


Sign in / Sign up

Export Citation Format

Share Document