Pole Placement for Single-Input Linear System by Proportional-Derivative State Feedback

2014 ◽  
Vol 137 (4) ◽  
Author(s):  
Taha H. S. Abdelaziz
Keyword(s):  
Linear System ◽  
Linear Systems ◽  
Degrees Of Freedom ◽  
State Feedback ◽  
Pole Placement ◽  
Feedback Gain ◽  
Time Varying ◽  
Placement Problem ◽  
Single Input ◽  
Time Invariant

This paper deals with the direct solution of the pole placement problem for single-input linear systems using proportional-derivative (PD) state feedback. This problem is always solvable for any controllable system. The explicit parametric expressions for the feedback gain controllers are derived which describe the available degrees of freedom offered by PD state feedback. These freedoms are utilized to obtain closed-loop systems with small gains. Its derivation is based on the transformation of linear system into control canonical form by a special coordinate transformation. The solving procedure results into a formula similar to Ackermann’s one. In the present work, both time-invariant and time-varying linear systems are treated. The effectiveness of the proposed method is demonstrated by the simulation examples of both time-invariant and time-varying systems.

scholarly journals A Direct Algorithm for Pole Placement by State-derivative Feedback for Single-input Linear Systems

10.14311/500 ◽  
2003 ◽  
Vol 43 (6) ◽  
Author(s):  
Taha H. S. Abdelaziz ◽  
M. Valášek
Keyword(s):  
Control Systems ◽  
Linear Systems ◽  
Closed Loop ◽  
Original System ◽  
Pole Placement ◽  
Time Varying ◽  
Placement Problem ◽  
Input System ◽  
Single Input ◽  
Controllable Systems

This paper deals with the direct solution of the pole placement problem for single-input linear systems using state-derivative feedback. This pole placement problem is always solvable for any controllable systems if all eigenvalues of the original system are nonzero. Then any arbitrary closed-loop poles can be placed in order to achieve the desired system performance. The solving procedure results in a formula similar to the Ackermann formula. Its derivation is based on the transformation of a linear single-input system into Frobenius canonical form by a special coordinate transformation, then solving the pole placement problem by state derivative feedback. Finally the solution is extended also for single-input time-varying control systems. The simulation results are included to show the effectiveness of the proposed approach.

A New Direct Algorithm for Pole-Placement by State-Derivative Feedback for Single-Input Linear Systems

2013 ◽  
Vol 423-426 ◽  
pp. 2869-2872
Author(s):  
Zun Hai Gao
Keyword(s):  
Linear Systems ◽  
Characteristic Polynomial ◽  
Canonical Form ◽  
General Expression ◽  
Pole Placement ◽  
Feedback Gain ◽  
Direct Algorithm ◽  
Gain Matrix ◽  
Input System ◽  
Single Input

The generalized Wonham controllable canonical form in single-input systems is presented and applied to pole placement of state derivative feedback. A new direct algorithm is proposed. The advantage of this algorithm is no need to compute the characteristic polynomial of the system. The theory and approach are introduced, and the general expression is obtained for the derivative feedback gain matrix of the single-input system.

scholarly journals Finite-Time Stabilization of Uncertain Switched Positive Linear Systems with Time-Varying Delays

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Tianjian Yu ◽  
Yanke Zhong ◽  
Tefang Chen ◽  
Chunyang Chen
Keyword(s):  
Linear System ◽  
Linear Systems ◽  
Finite Time ◽  
State Feedback ◽  
Positive System ◽  
Time Varying ◽  
Polytopic Uncertainties ◽  
Finite Time Stabilization ◽  
Finite Time Boundedness ◽  
Definition Of

This paper is concerned with finite-time stabilization (FTS) analysis for a class of uncertain switched positive linear systems with time-varying delays. First, a new definition of finite-time boundedness (FTB) is introduced for switched positive system. This definition can simplify FTS analysis. Taking interval and polytopic uncertainties into account, a robust state feedback controller is built such that the switched positive linear system is finite-time bounded. Finally, an example is employed to illustrate the validities of obtained results.

Adaptive Periodic Noise Cancellation for Cooling Fans With Varying Rotational Speed

2007 ◽  
Author(s):  
Charles E. Kinney ◽  
Raymond A. de Callafon
Keyword(s):  
Internal Model ◽  
Control Algorithm ◽  
State Feedback ◽  
Random Noise ◽  
Feedback Gain ◽  
Time Varying ◽  
Internal Model Principle ◽  
Cooling Fans ◽  
Novel Method ◽  
Time Invariant

This paper presents a novel method of simultaneously tracking and rejecting time-varying sinusoids in the presence of random noise by using feedback control. The technique applies the internal model-principle to time-varying disturbances by using an extended Kalman filter to create time-varying gains and a time-varying internal model. The state feedback gain, however, is not time-varying and is designed using standard time-invariant LQR methods. This control algorithm is applied to active noise cancelation and in simulations is shown to converge quickly in the presence of noise. Methods of improving convergence of this algorithm are discussed.

State Feedback Gain Scheduling for Linear Systems With Time-Varying Parameters

2005 ◽  
Vol 128 (2) ◽  
pp. 365-370 ◽  
Author(s):  
Vinícius F. Montagner ◽  
Pedro L. D. Peres
Keyword(s):  
Linear Systems ◽  
State Feedback ◽  
Gain Scheduling ◽  
State Feedback Control ◽  
Feedback Gain ◽  
Structural Constraints ◽  
Time Varying ◽  
Varying Parameters ◽  
Time Varying Parameters ◽  
Parameter Dependent

This paper addresses the problem of parameter dependent state feedback control (i.e. gain scheduling) for linear systems with parameters that are assumed to be available (measured or estimated) in real time and are allowed to vary in a compact polytopic set with bounded variation rates. A new sufficient condition given in terms of linear matrix inequalities permits to determine the controller gain as an analytical function of the time-varying parameters and of a set of constant matrices. The closed-loop stability is assured by means of a parameter dependent Lyapunov function. The condition proposed encompasses the well-known quadratic stabilizability condition and allows to impose structural constraints such as decentralization to the feedback gains. Numerical examples illustrate the efficiency of the technique.

A New Direct Algorithm for Pole Placement by State-Derivative Feedback for Multi-Input Linear Systems

2013 ◽  
Vol 433-435 ◽  
pp. 1021-1024
Author(s):  
Zun Hai Gao
Keyword(s):  
Linear Systems ◽  
Characteristic Polynomial ◽  
Canonical Form ◽  
General Expression ◽  
Pole Placement ◽  
Feedback Gain ◽  
Arbitrary Parameter ◽  
Direct Algorithm ◽  
Input System ◽  
Single Input

The generalized Wonham controllable canonical form in multi-input systems is presented and applied to pole placement of state derivative feedback. A new direct algorithm is proposed. The multi-input system can be decomposed some single-input systems and for every single-input system the problem is easy to be resolved. The advantage of this algorithm is no need to compute the characteristic polynomial of the system. The theory and approach are introduced, and the general expression containing arbitrary parameter is obtained for the derivative feedback gain matrix of the multi-input system. An illustrative example is presented to show the proposed method.

The Swing Control of Cranes with Variable Rope Length Based on Linear Time Varying System Theory

2012 ◽  
Vol 461 ◽  
pp. 763-767
Author(s):  
Li Fu Wang ◽  
Zhi Kong ◽  
Xin Gang Wang ◽  
Zhao Xia Wu
Keyword(s):  
State Feedback ◽  
Closed Loop ◽  
Linear Time ◽  
Feedback Stabilization ◽  
Time Varying ◽  
Closed Loop System ◽  
Overhead Cranes ◽  
Time Varying Systems ◽  
Time Invariant ◽  
Time Invariant System

In this paper, following the state-feedback stabilization for time-varying systems proposed by Wolovich, a controller is designed for the overhead cranes with a linearized parameter-varying model. The resulting closed-loop system is equivalent, via a Lyapunov transformation, to a stable time-invariant system of assigned eigenvalues. The simulation results show the validity of this method.

Linear Approximations for Swing Leg Motion During Gait

1984 ◽  
Vol 106 (2) ◽  
pp. 137-143 ◽  
Author(s):  
W. H. Lee ◽  
J. M. Mansour
Keyword(s):  
Linear Systems ◽  
System Analysis ◽  
Linear Time ◽  
Time Varying ◽  
Two Dimensional ◽  
State Variables ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Leg Motion ◽  
Time Invariant

The applicability of a linear systems analysis of two-dimensional swing leg motion was investigated. Two different linear systems were developed. A linear time-varying system was developed by linearizing the nonlinear equations describing swing leg motion about a set of nominal system and control trajectories. Linear time invariant systems were developed by linearizing about three different fixed limb positions. Simulations of swing leg motion were performed with each of these linear systems. These simulations were compared to previously performed nonlinear simulations of two-dimensional swing leg motion and the actual subject motion. Additionally, a linear system analysis was used to gain some insight into the interdependency of the state variables and controls. It was shown that the linear time varying approximation yielded an accurate representation of limb motion for the thigh and shank but with diminished accuracy for the foot. In contrast, all the linear time invariant systems, if used to simulate more than a quarter of the swing phase, yielded generally inaccurate results for thigh shank and foot motion.

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