scholarly journals Explicit Symmetries of Strict Feedforward Control Systems

2006 ◽  
Author(s):  
Issa Amadou Tall ◽  
Witold Respondek
Keyword(s):  
Control Systems ◽  
Feedforward Control

Adaptive Control of Indoor Thermal Environments Using Fan Coil Units

2008 ◽  
Author(s):  
Viraj Srivastava ◽  
Yun Gu ◽  
David Archer
Keyword(s):  
Control Systems ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Environmental Control ◽  
Feedforward Control ◽  
Test Bed ◽  
Multiple Sources ◽  
Time Data ◽  
Distributed Sensor ◽  
Thermal Environments

The work described in this paper relates to advanced control systems, specifically designed for heating, ventilation and air conditioning in office buildings. This work specifically focuses on the use of state of the art fan coil units with advanced instrumentation and control. The premise of the work is that control systems can be significantly enhanced by using real-time data from a distributed sensor network deployed in the building. Specifically, the performance of control systems can be improved by augmenting predictive (feed-forward) control operations with techniques to improve the accuracy of models. A control algorithm for heating, ventilating and air-conditioning systems is described in this paper that integrates an advanced feedforward control algorithm with conventional feedback control. This paper further contains a description of a functional prototype used to demonstrate the proposed control algorithm for indoor thermal environmental control. The test-bed used in this work — the Robert L Preger Intelligent Workplace (IW), at Carnegie Mellon University, involves a large number of variables and hence a complex control task, i.e., the test bed contains multiple sources of thermal energy, and multiple constraints and disturbances — both measurable and immeasurable. The algorithms demonstrated in this test-bed are expected to perform satisfactorily on other environments with smaller number of variables. This paper contains a description of experiments that were performed to validate the comfort and energy benefits of increased sensing using fan coil units that are in installed in two spaces in the IW.

scholarly journals Smart switching in feedforward control of grip force during manipulation of elastic objects

2017 ◽  
Author(s):  
Olivier White ◽  
Amir Karniel ◽  
Raz Leib ◽  
Charalambos Papaxanthis ◽  
Marie Barbiero ◽  
...  
Keyword(s):  
Control Systems ◽  
Grip Force ◽  
Feedforward Control ◽  
Load Force ◽  
Switching Systems ◽  
State Variables ◽  
Discrete State ◽  
Research Questions ◽  
New Research ◽  
The Brain

AbstractSwitching systems are common in artificial control systems. Here, we suggest that the brain adopts a switched feedforward control of grip forces during manipulation of objects. We measured how participants modulated grip force when interacting with soft and rigid virtual springs when stiffness varied nearly continuously between trials. We identified a sudden phase transition between two forms of feedforward control that differed in the timing of the synchronization between the anticipated load force and the applied grip force. The switch occurred several trials after a threshold stiffness level. These results suggest that in the control of grip force, the brain acts as a switching control system. This opens new research questions as to the nature of the discrete state variables that drive the switching.

scholarly journals Notes on a New Structure of Active Noise Control Systems

2020 ◽  
Vol 10 (14) ◽  
pp. 4705 ◽  
Author(s):  
Jarosław Figwer ◽  
Małgorzata I. Michalczyk
Keyword(s):  
Control Systems ◽  
Noise Control ◽  
Feedforward Control ◽  
Active Noise Control ◽  
Wide Sense ◽  
Active Noise ◽  
Technical Realization ◽  
Practical Engineering ◽  
Measurement Path ◽  
Classical Control

The idea of active noise control is an attenuation of unwanted noise with an additionally generated acoustic wave using the phenomenon of interference. Its technical realization employs advanced control algorithms. Active noise control is an area of intense research and practical engineering applications. In the paper a new structure of adaptive active noise control systems is proposed. Compared with classical control systems used for active noise control, the proposed structure contains in an error signal measurement path an additional discrete-time filter that estimates signal values at the input of this path. These estimates are then used to tune the corresponding adaptive filter. Properties of the proposed adaptive active noise control structure are illustrated by simulation examples in which a feedforward control system equipped with this additional filter is used to attenuate unwanted wide-sense stationary random noises with continuous and mixed spectra.

scholarly journals Design of Composite Feedback and Feedforward Control Law for Aircraft Inertially Stabilized Platforms

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Valerii Azarskov ◽  
Anatoly Tunik ◽  
Olha Sushchenko
Keyword(s):  
Control Systems ◽  
Feedforward Control ◽  
Design Method ◽  
Synergetic Effect ◽  
Measurement Unit ◽  
Control Law ◽  
Control Laws ◽  
Robustness Criterion ◽  
Two Stages ◽  
Invariance Theory

The design of the control systems of the inertially stabilized platforms (ISPs) as part of airborne equipment for the majority of aircraft has its peculiarity. The presence of rate gyros in the inertial measurement unit gives the possibility to measure the rotation rate of the ISP base, which is the main disturbance interfering with the ISP accuracy. Inclusion of the feedforward disturbance gain in the control law with the simplest PI feedback significantly improves the accuracy of stabilization by the invariance theory. A combination of feedback and feedforward controllers produces a synergetic effect, thus, improving ISP accuracy. This article deals with the design of the airborne ISP control systems consisting of two stages: the parametric optimization of the PI feedback control based on composite “performance-robustness” criterion and the augmentation of the obtained system with feedforward gain. To prove the efficiency of the proposed control laws, the simulation of the ISP was undertaken. We have used a simulation of the heading-hold system of the commuter aircraft Beaver and the yaw rate output of this closed-loop system we have used as a source of the disturbance. The results of modeling proved the efficiency of the proposed design method.

A New Congestion Controller for Multilayer Networked Control Systems with Persistent Disturbances

2010 ◽  
Vol 439-440 ◽  
pp. 805-810 ◽  
Author(s):  
Peng Liu
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Feedforward Control ◽  
Initial Conditions ◽  
Optimal Solution ◽  
Networked Control ◽  
Suboptimal Control ◽  
Control Law ◽  
Non Linear ◽  
Persistent Disturbances

In this paper, a new congestion controller is developed to obtain a feedforward and feedback optimal control for networked control systems (NCS) with persistent disturbances. The disturbances have known dynamic characteristics but unknown initial conditions. The disturbance observer is proposed to make the feedforward control law realizable physically. In the approach only the non-linear compensating term, solution of a sequence of adjoint vector differential equations, is required iteration. By taking the finite iteration of non-linear compensating term of optimal solution sequence, a suboptimal control law for NCS with time delay can be obtained.

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