The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper designs a TCSC fuzzy PID impedance controller, according to TCSC current capacitance error and change rate for erroneous, used the dynamic regulation PID parameter for fuzzy inference system, which has overcome the insufficiency for conventional PID control, strong the robustness and enhance the control quality. And, by joins the immunity feedback element, further proposed the control...
This paper investigates the development and evaluation of a intelligent control system for a wood drying kiln process incorporating DRNN (Diagonal Recurrent Network) and proportional-integral-derivative (PID) control such that the moisture content of lumber will reach and be stabilized at the desired set point. A description of the dynamics of the wood drying process by means of the DRNN is also presented...
So far, most of the proton exchange membrane fuel cell (PEMFC) models are difficult to apply in the control system design. In this paper, a dynamic control model of PEMFC system is set up. Based on this model, a self-adaptive fuzzy PID controller and a PID controller are respectively used to control the output voltage. The simulation results show that, this adaptive fuzzy PID controller can control...
Analyzing and summarizing the advantages of the traditional decoupling algorithms, a new intelligent decoupling controller based on BP neural network PID with predictive compensation is designed to reduce the influence between the variables in multivariable, nonlinear and strong-coupling system. This algorithm gains a decoupling performance by improving the structure of the traditional neural network...
Low speed control of servo systems is required in some applications. Motor speed is generally acquired from the so-called M method, which averages the number of pulses from the coupled encoder by a fixed time period. As a result, a long detection delay time, due to speeds lower than the minimum measurable value determined by the sampling frequency and the resolution of the encoder, may degrade the...
Taking error and error rate of change as input, this paper realized the online slef-tuning of PID parameter with the method of fuzzy inference, and made a modeling design and simulation on the controller in the Matlab environment, and realized the non-linear processing to PID controller and the non-linear mapping between the changes of system characteristics and controlled variables. This hybrid system...
PID controller can not perform well in two-order large Inertia and time-delay system. ADRC is a new control technique which possesses special advantages for large Inertia and time-delay system. Moreover, ADRC overcomes lots of defects of PID control and improves control performance greatly. Two-tank liquid system - the research object in this paper is a typical two-order large Inertia and time-delay...
With the user's needs and the development of modern technology, the engineering vehicles develop continuously toward the heavy-load and high-speed direction. The higher riding comfort requirements of engineering vehicles are put forward. The traditional passive suspension had not met the requirements of riding comfort. An adaptive fuzzy PID control method is proposed for the semi-active suspension...
This paper proposes an improved state-dependent Riccati equation (SDRE) attitude control approach which is applied in an unmanned helicopter (UMH). To deal with inherent unstable dynamics, the flapping, rotational dynamics and translational motion of UMH are organized into a multi-timescale nonlinear model. To overcome the problem that a number of terms can't be accounted in the SDRE design, we employ...
Artificial immune systems are widely studied. The paper analyzed the stimulation and suppression relationship between antibodies and antibodies versus antigen in an idiotypic immune network, and explained the relationship of PID controller parameters in different phases of control process in the view of analysis above. Based on the explanation, the paper presented a PID control scheme with mechanism...
Iterative learning control (ILC) is a technique to make use of the repetitiveness of the tasks, a system is commanded to execute in a fixed finite time interval. In this paper, we assume that the system to be controlled is discrete time and described by linear state space equations. We present a proportional, integral, derivative (PID) type ILC updating law with variable coefficients. An optimal procedure...
This paper introduces the development of hybrid magnetic bearings (HMBs) for a maglev axial flow blood pump. The design criteria for the radial, axial and current stiffness of the HMB are proposed and the HMB is accordingly designed through theoretical calculation, 3-Dimensional Finite Element Analysis (3-D FEA) and experimental verification. Based on the system identification result of the HMB, a...
In this paper, an efficient method based on Artificial Bee Colony (ABC) metaheuristic is implemented for tuning PID controllers. Considering performance indices presented in the literature, benchmark plants of different orders and time delays are controlled by PID controllers with optimum gains. Results clearly demonstrate that the employed method has outperformed other techniques such as fuzzy modeling...
Based on biological immune principle and fuzzy theory, this paper presents an intelligent fuzzy immune PID control scheme to solve the control difficulties of industry process with multi-variables. The least square algorithm was used for offline optimization to form immune feedback control system. The application on cement rotary kiln control was discussed in detail as an example. The rotary kiln...
This paper presents the elaboration of a comprehensive Matlab-Simulink™ virtual environment of a Stewart platform. This simulation tool includes the kinematic and dynamic modeling of the platform, along with the control loops of the actuators and coupled to a trajectory generation module, it also offers complete visualization features through a dedicated graphic user interface. This simulator was...
The motion control of the underwater robot is a challenging task. Aiming at the questions of single neuron PID control such as slow learning rate and response, a new control strategy is designed and applied to the motion control of an underwater robot. By referring the immune tuning principle, an immune single neuron PID control method is presented to improve the performance of single neuron PID control...
In this paper, a new structured mixed-sensitivity ℋ∞ design approach, using Particle Swarm Optimization (PSO) technique, is proposed. The case study of an electrical DC drive benchmark is adopted to illustrate the efficiency and viability of the proposed control approach. The optimization based synthesis problem is formulated and solved by a constrained PSO algorithm. In the proposed control strategy,...
Under the research context of two axis digital control turntable, this paper has set up a mathematical model of control system of turntables. Proceeding from such model, it has made an analysis on the deficiencies of classical PID control during turntable control. Against the feature of PID parameters difficult to be tuned, the neural network is thus introduced in the optimizing process of turncontrol...
This paper presents a method to determine the admissible set of controller parameters when the H-infinite norm of the mixed sensitivity is taken as the objective function for the PID controller design. First the mixed sensitivity requirement can be translated into the stabilization problem of a family of complex polynomials as well as the close-loop characteristic polynomial. Then by stabilizing these...
In this paper, design, dynamics and control allocation of Tri-Rotor UAV are introduced. Tri-Rotor UAV has three rotor axes that are equidistant from its center of gravity. There are two designs of Tri-Rotor introduced in this paper. Single Tri-Rotor UAV has a servo-motor that has been installed on one of the three rotors, which enables a rapid control on its motion and its various attitude changes;...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.