Output-Driven Minimal Controller Synthesis with an Adaptive Observer

1996 ◽  
Vol 210 (2) ◽  
pp. 131-139 ◽  
Author(s):  
K I Aziz ◽  
M Thomson
Keyword(s):  
Prior Knowledge ◽  
Output Feedback ◽  
Control Structure ◽  
Output Feedback Control ◽  
Controller Synthesis ◽  
Adaptive Observer ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Siso Systems

This paper describes how the minimal controller synthesis (MCS) algorithm is combined with the minimal observer synthesis (MOS) algorithm to produce an output feedback control structure in which no prior knowledge of plant state parameters is required. While the principal results relate to single-input single-output (SISO) systems, extensions to a particular class of multi-variable systems is discussed. Implementation and simulation examples are included to illustrate the effectiveness of the proposed scheme.

scholarly journals Adaptive Moving Sliding Mode Control for SISO Systems: Application to an Electropneumatic System

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Assil Ayadi ◽  
Soufien Hajji ◽  
Mohamed Smaoui ◽  
Abdessattar Chaari
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Sliding Surface ◽  
External Disturbances ◽  
Single Input Single Output ◽  
Mode Control ◽  
Single Output ◽  
Single Input ◽  
Electropneumatic System ◽  
Siso Systems

This paper aims to propose and develop an adaptive moving sliding mode controller (AMSMC) that can be applied for nonlinear single-input single-output (SISO) systems with external disturbances. The main contribution of this framework consists to overcome the chattering phenomenon problem. The discontinuous term of the classic sliding mode control is replaced by an adaptive term. Moreover, a moving sliding surface is proposed to have better tracking and to guarantee robustness to the external disturbances. The parameters of the sliding surface and the adaptive law are deduced based on Lyapunov stability analysis. An experimental application of electropneumatic system is treated to validate the theoretical results.

Construction of a Set of Nonovershooting Tracking Controllers

2004 ◽  
Vol 126 (3) ◽  
pp. 558-567 ◽  
Author(s):  
Matt Bement ◽  
Suhada Jayasuriya
Keyword(s):  
Practical Importance ◽  
Step Function ◽  
Nonminimum Phase ◽  
Single Input Single Output ◽  
Single Output ◽  
Nonminimum Phase Systems ◽  
Tracking Controllers ◽  
Single Input ◽  
Phase Systems ◽  
Siso Systems

The problem of tracking a known reference without overshooting is of great practical importance in a number of applications. However, nonminimum phase systems and systems with reference inputs other than steps have received very little attention. This paper proposes two different techniques for obtaining a continuous time, nonovershooting, feedback controller for a wide variety of linear single input, single output (SISO) systems, including nonminimum phase systems and systems whose reference input is something other than a step function. These techniques are then used to generate an initial nonovershooting controller from which a set of nonovershooting controllers is obtained. Examples are given to demonstrate all key concepts.

The Use of Multibody System Modeling and Multivariable System Decoupling Techniques in Vehicle Ride Control

1999 ◽  
Vol 121 (3) ◽  
pp. 479-486 ◽  
Author(s):  
A. S. Cherry ◽  
R. P. Jones ◽  
T. E. C. Potter
Keyword(s):  
Multibody System ◽  
System Modeling ◽  
Analytical Techniques ◽  
Equivalence Transformation ◽  
Single Input Single Output ◽  
Single Output ◽  
Modal Damping ◽  
Ride Control ◽  
Single Input ◽  
Siso Systems

This paper describes the use of realistic analytical techniques to address automotive ride control. Multibody system (MBS) modeling techniques were used to develop a full vehicle model with suspension system representation, which was subsequently validated against experimental data. The resultant multivariable ride control problem was then decoupled in the frequency domain by the application of equivalence transformation techniques. It is shown that diagonalization can be achieved for the range of primary ride frequencies, and that the decoupled system then consists of three single-input/single-output (SISO) systems, one for each of the sprung mass modes. Finally, feedback control design for each sprung mass mode loop is illustrated by the application of modal damping.

H∞ Optimization of Fixed Structure Controllers

2000 ◽  
Author(s):  
Soichi Ibaraki ◽  
Masayoshi Tomizuka
Keyword(s):  
Output Feedback ◽  
Optimization Problem ◽  
Disk Drive ◽  
Controller Synthesis ◽  
Static Output Feedback ◽  
Single Input Single Output ◽  
Single Output ◽  
Head Positioning ◽  
Fixed Structure ◽  
Static Output

Abstract In this paper, the H∞ optimization problem of fixed structure linear controllers is considered. Applications of the problem include tuning of SISO (Single-Input Single-Output) PID (Proportional plus Integral plus Derivative) controller gains. The proposed algorithm starts with transformation of the original problems into a static output feedback controller synthesis problem, which does not impose any constraints on the controller structure except for its order. Unlike the full-order H∞ controller synthesis case, the H∞ optimization problem of static output feedback controllers cannot be reparameterized as a convex optimization problem. The cone complementarity linearization algorithm is used to overcome the nonconvexity problem due to the constraint on the controller order. The proposed algorithm is applied to the design of a SISO PID controller for head positioning of a magnetic hard disk drive.

Adaptive feedback suppression of unknown periodic components of acoustic noises with time-varying characteristics

2016 ◽  
Vol 23 (4) ◽  
pp. 526-538 ◽  
Author(s):  
Saeid Jafari ◽  
Petros Ioannou ◽  
Lael Rudd
Keyword(s):  
Random Noise ◽  
Output Feedback Control ◽  
Design Parameters ◽  
Single Input Single Output ◽  
Feedback Suppression ◽  
Single Output ◽  
Modeling Uncertainties ◽  
Single Input ◽  
Robust Adaptive ◽  
Periodic Components

Effective attenuation of the noise level is an important problem in acoustic systems. In this paper, we propose a robust adaptive output feedback control scheme that can considerably attenuate narrow-band noises made up of periodic signals mixed with random noise in the presence of modeling uncertainties. The amplitude, phase and frequencies as well as the number of periodic terms are unknown and could vary with time. The performance and robustness of the proposed scheme with respect to unstructured modeling uncertainties are analyzed for continuous-time single-input, single-output systems; the results, however, are extendable to multi-channel systems. The successful attenuation of the unknown periodic components of the disturbance despite the time variations, modeling errors, and random noise is demonstrated using simulations. In addition, guidelines how to choose certain design parameters for performance improvement have been presented.

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