Swarm cuckoo search for closed-loop parameter identifications from different input signals

2016 ◽  
Vol 94 (9) ◽  
pp. 1755-1769 ◽  
Author(s):  
Qibing Jin ◽  
Qi Wang ◽  
Linfeng Qi ◽  
Beiyan Jiang ◽  
En He
Keyword(s):  
Closed Loop ◽  
Cuckoo Search ◽  
Input Signals ◽  
Parameter Identifications

On-Line Thermal Balancing Technique for a Large Turbo-Generator

1992 ◽  
Vol 114 (1) ◽  
pp. 60-66 ◽  
Author(s):  
M. Zumbach ◽  
G. Schweitzer ◽  
K. Schoellhorn
Keyword(s):  
Closed Loop ◽  
Control Strategies ◽  
Operating Conditions ◽  
Loop Control ◽  
Turbo Generator ◽  
Closed Loop Control System ◽  
Input Signals ◽  
Loop Control System ◽  
On Line ◽  
A New Technique

In this paper a new technique is proposed to rebalance automatically a large turbo-generator during operation. The sensitivity of the rotor unbalances to thermal asymmetries in the rotor is exploited by mounting some heating elements and using them as actively controlled actuators. The shaft vibrations are measured and used as input signals of the feedback controller. Unbalances thus can be compensated during rotor operation. A theoretical model of the thermo-elastic rotor has been developed and an appropriate closed-loop control system has been designed. The simulation results are verified on a special test rig with digital control allowing for varioius control strategies and various operating conditions.

scholarly journals Robust LPV Control for Attitude Stabilization of a Quadrotor Helicopter under Input Saturations

2020 ◽  
Vol 5 (2) ◽  
pp. 98-111 ◽  
Author(s):  
Seif-El-Islam Hasseni ◽  
Latifa Abdou
Keyword(s):  
Closed Loop ◽  
Robust Stabilization ◽  
Cuckoo Search ◽  
Parametric Uncertainties ◽  
Closed Loop System ◽  
Robust Controller ◽  
Attitude Stabilization ◽  
Lpv Control ◽  
Compensation Technique ◽  
Attitude Model

This article investigates the robust stabilization of the rotational subsystem of a quadrotor against external inputs (disturbances, noises, and parametric uncertainties) by the LFT-based LPV technique. By establishing the LPV attitude model, the LPV robust controller is designed for the system. The weighting functions are computed by Cuckoo Search, a meta-heuristic optimization algorithm. Besides, the input saturations are also taken into account through the Anti-Windup compensation technique. Simulation results show the robustness of the closed-loop system against disturbances, measurement noises, and the parametric uncertainties.

scholarly journals Solutions of Continuous-Time Preview Two-Player Differential Games

1999 ◽  
Vol 121 (2) ◽  
pp. 326-331 ◽  
Author(s):  
Wen-Hou Ma ◽  
Huei Peng
Keyword(s):  
Continuous Time ◽  
Closed Loop ◽  
Infinite Horizon ◽  
Game Problem ◽  
Closed Loop System ◽  
Vehicle Handling ◽  
Actuator Dynamics ◽  
Horizon Problem ◽  
Input Signals ◽  
Improved Performance

The continuous-time two-player preview game problems are studied in this paper. A preview game problem is formulated when the input signals generated by one of the two players are delayed (e.g., by actuator dynamics), and are previewed by the other player. In accordance with the control terminology, these two players are referred to as the control player and the disturbance player, respectively. Both control-advantaged and disturbance-advantaged game solutions are presented. When the solution of an infinite horizon problem exists, the response of the closed-loop system can be analyzed in the frequency domain. A vehicle handling problem is used as an example for the analysis. It is shown that the preview action of the advantaged player effectively reduces the authority of the disadvantaged player, and results in significantly improved performance compared with feedback-only game algorithms.

Analysis of Disturbance Signals in Steel Rolling Process

2012 ◽  
Vol 490-495 ◽  
pp. 3065-3069
Author(s):  
Wei Yan ◽  
Jie Zhang ◽  
Ying Sheng Zhou
Keyword(s):  
Transfer Function ◽  
Control Systems ◽  
Output Signal ◽  
Closed Loop ◽  
Rolling Process ◽  
Closed Loop System ◽  
Steel Rolling ◽  
Input Signals ◽  
Low Pass ◽  
System Transfer Function

Many control systems are subject to extraneous disturbance signals that cause the system to provide an inaccurate output. The extraneous disturbance signals in steel rolling process are analysis in this paper. If the frequency spectrums of the noise and input signals are of a different character, the output signal-noise ratio can be maximized, often by simply designing a closed-loop system transfer function that has a low-pass frequency response.

Research on Actuators Optimization via PID Closed Control Algorithm for Video and Photo Cameras Stabilization

2013 ◽  
Vol 436 ◽  
pp. 337-344
Author(s):  
Mihai Mănescu ◽  
Luciana Cristea ◽  
Barbu Christian Braun ◽  
Daniel Ola
Keyword(s):  
Real Time ◽  
Closed Loop ◽  
Mobile Systems ◽  
Control Procedure ◽  
Loop Control ◽  
Video Cameras ◽  
Pid Algorithm ◽  
Input Signals ◽  
Time Correction ◽  
The Stability

The paper shows how closed-loop control procedure, using the algorithm Proportional Integrative derivative (PID) was applied to improve the photo and video cameras stability correction in real time. The stability system contains an Attitude Heading reference System (AHRS) sensor that is connected to a microcontroller that will make the operations for measuring angles of rotation (roll, pitch and yaw) acquired from a camera displaced on a suspended cable. Closed loop PID algorithm applied to stabilize the system was implemented as programming subroutines dedicated to Atmega162 microcontroller, at which they were recorded and processed in real time as input signals sensor information measured by the AHRS system. Programming based on a closed loop process control through actuators ordered 3 servo-motors for real-time correction of camera rotation angles. In this way it could be provided the positioning cameras error compensation, the errors being caused by different perturbing external factors. The adopted solution has achieved a cost reduction necessary to stabilize the cameras placed in mobile systems. The solution ensures also to increase the stabilization efficiency reported to the case of human operator intervention.

scholarly journals Electrically driven fertilizer applicator controlled by fuzzy logic

2014 ◽  
Vol 34 (3) ◽  
pp. 510-522 ◽  
Author(s):  
Angel P. Garcia ◽  
Nelson L. Cappelli ◽  
Claudio K. Umezu
Keyword(s):  
Fuzzy Logic ◽  
Mass Flow ◽  
Control Algorithm ◽  
Closed Loop ◽  
Experimental Tests ◽  
Membership Functions ◽  
Translation Velocity ◽  
Input Signals ◽  
Average Rise ◽  
Dc Electric Motor

The present study shows the development, simulation and actual implementation of a closed-loop controller based on fuzzy logic that is able to regulate and standardize the mass flow of a helical fertilizer applicator. The control algorithm was developed using MATLAB's Fuzzy Logic Toolbox. Both open and closed-loop simulations of the controller were performed in MATLAB's Simulink environment. The instantaneous deviation of the mass flow from the set point (SP), its derivative, the equipment´s translation velocity and acceleration were all used as input signals for the controller, whereas the voltage of the applicator's DC electric motor (DCEM) was driven by the controller as output signal. Calibration and validation of the rules and membership functions of the fuzzy logic were accomplished in the computer simulation phase, taking into account the system's response to SP changes. The mass flow variation coefficient, measured in experimental tests, ranged from 6.32 to 13.18%. The steady state error fell between -0.72 and 0.13g s-1 and the recorded average rise time of the system was 0.38 s. The implemented controller was able to both damp the oscillations in mass flow that are characteristic of helical fertilizer applicators, and to effectively respond to SP variations.

Robust Control of Robotic Manipulators in the Presence of Dynamic Parameter Uncertainty

1989 ◽  
Vol 111 (3) ◽  
pp. 444-451 ◽  
Author(s):  
J. K. Mills ◽  
A. A. Goldenberg
Keyword(s):  
Parameter Uncertainty ◽  
Closed Loop ◽  
Tracking Error ◽  
Sufficient Conditions ◽  
Dynamic Parameter ◽  
Loop System ◽  
System Stability ◽  
Closed Loop System ◽  
Input Signals ◽  
Asymptotic Tracking

Sufficient conditions are proved for a robotic manipulator controller so that asymptotic tracking/regulation occurs, independent of dynamic parameter uncertainty, for a certain class of input signals. The uncertainty can be quite large, and arise chiefly from the manipulation of payloads with unknown mass/inertia properties. The control is obtained using a robust controller which consists of two separate parts: 1) a compensator which makes the closed-loop robotic system insensitive to parameter uncertainty and generates asymptotic regulation of a certain class of input signals and 2) a stabilizing compensator, whose purpose is to stabilize the closed-loop system. Stability of the closed-loop system is guaranteed by choosing large feedback gains. In addition to the above, it is also shown that the proposed feedback controller provides an arbitrarily small tracking error capability for the particular class of input trajectories.

Intestinal Bacteriology of Closed Loop, Strangulated Obstruction in Dogs.

1961 ◽  
Vol 41 (3) ◽  
pp. 245-250 ◽  
Author(s):  
George H. Bornside ◽  
Isidore Cohn
Keyword(s):  
Closed Loop
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