Skip to main content

2001 | Buch

Control Systems with Actuator Saturation

Analysis and Design

verfasst von: Tingshu Hu, Zongli Lin

Verlag: Birkhäuser Boston

Buchreihe : Control Engineering

insite
SUCHEN

Über dieses Buch

Saturation nonlinearities are ubiquitous in engineering systems. In control systems, every physical actuator or sensor is subject to saturation owing to its maximum and minimum limits. A digital filter is subject to saturation if it is implemented in a finite word length format. Saturation nonlinearities are also purposely introduced into engineering systems such as control sys­ tems and neural network systems. Regardless of how saturation arises, the analysis and design of a system that contains saturation nonlinearities is an important problem. Not only is this problem theoretically challenging, but it is also practically imperative. This book intends to study control systems with actuator saturation in a systematic way. It will also present some related results on systems with state saturation or sensor saturation. Roughly speaking, there are two strategies for dealing with actuator sat­ uration. The first strategy is to neglect the saturation in the first stage of the control design process, and then to add some problem-specific schemes to deal with the adverse effects caused by saturation. These schemes, known as anti-windup schemes, are typically introduced using ad hoc modifications and extensive simulations. The basic idea behind these schemes is to intro­ duce additional feedbacks in such a way that the actuator stays properly within its limits. Most of these schemes lead to improved performance but poorly understood stability properties.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Every physical actuator is subject to saturation. For this reason, the original formulations of many fundamental control problems, including controllability and time optimal control, all reflect the constraints imposed by actuator saturation. Control problems that involve hard nonlinearities such as actuator saturation, however, turned out to be difficult to deal with. As a result, even though there have been continual efforts in addressing actuator saturation (see [4] for a chronological bibliography on this subject), its effect has been ignored in most of the modern control literature
Tingshu Hu, Zongli Lin
Chapter 2. Null Controllability — Continuous-Time Systems
Abstract
This chapter studies null controllability of continuous-time linear systems with bounded controls. Null controllability of a system refers to the possibility of steering its state to the origin in a finite time by an appropriate choice of the admissible control input. If the system is linear and is controllable, then any state can be steered to any other location, for example, the origin, in the state space in a finite time by a control input. This implies that any controllable linear system is null controllable from any point in the state space. The control inputs that are used to drive certain states to the origin, however, might have to be large in magnitude. As a result, when the control input is limited by the actuator saturation, a linear controllable system might not be globally null controllable. In this situation, it is important to identify the set of all the states that can be steered to the origin with the bounded controls delivered by the actuators. This set is referred to as the null controllable region and is denoted as C
Tingshu Hu, Zongli Lin
Chapter 3. Null Controllability —Discrete-Time Systems
Abstract
This chapter studies null controllability of discrete-time linear systems with bounded controls. As in the continuous-time case, when the control input is limited by the actuator saturation, a discrete-time linear controllable system might not be globally null controllable. We are thus led to the characterization of the null controllable regionCthe set of all states that can be steered to the origin by the bounded controls delivered by the actuators
Tingshu Hu, Zongli Lin
Chapter 4. Stabilization on Null Controllable Region — Continuous-Time Systems
Abstract
In this chapter, we will study the problem of stablizing a linear system with saturating actuators. The key issue involved here is the size of the result­ing domain of attraction of the equilibrium. Indeed, local stabilization, for which the size of the domain of attraction is not a design specification, is trivial. It is straightforward to see that any linear feedback that stabilizes the system in the absence of actuator saturation would also locally sta­bilize the system in the presence of actuator saturation. In fact, with the given stabilizing linear feedback law, actuator saturation can be completely avoided by restricting the initial states to a small neighborhood of the equi­librium. Our focus in this chapter is on the construction of feedback laws that would lead to a domain of attraction that contains any a priori given bounded subset of the asymptotically null controllable region in its interior. We refer to such a problem as semi-global stabilization on the asymptoti­cally null controllable region, or simply, semi-global stabilization. We recall from Chapter 2 that the null controllable region of a linear system subject to actuator saturation is the set of all the states that can be steered to the origin in a finite time by an admissible control, and the asymptotically  null controllable region is the set of all the states that can be driven to the origin asymptotically by an admissible control
Tingshu Hu, Zongli Lin
Chapter 5. Stabilization on NullControllable Region — Discrete-Time Systems
Abstract
In the previous chapter, we established semi-global stabilizability on the null controllable region of continuous-time linear systems which have no more than two exponentially unstable poles and are subject to actuator saturation. In this chapter, we will establish similar results for discrete-time systems
Tingshu Hu, Zongli Lin
Chapter 6. Practical Stabilization on Null Controllable Region
Abstract
In the previous chapters, we have characterized the asymptotically null controllable region of a linear systems subject to actuator saturation. We have also constructed stabilizing feedback laws that would result in a domain of attraction that is either the entire asymptotically null controllable region or a large portion of it. In this chapter, we start to address closed-loop performances beyond large domains of attraction. In particular, we will design feedback laws that not only achieve semi-global stabilization on asymptotically null controllable region but also have the ability to reject input-additive bounded disturbances to an arbitrary level of accuracy. We refer to such a design problem as semi-global practical stabilization on the null controllable region
Tingshu Hu, Zongli Lin
Chapter 7. Estimation of the Domain of Attraction under Saturated Linear Feedback
Abstract
The problem of estimating the domain of attraction of an equilibrium of a nonlinear dynamical system has been extensively studied for several decades (see, e.g,[16,17,25,32,40,50,55,58,75,81,84,104,105] and the references therein). In Section 4.2, we presented a simple method for determining the domain of attraction for a second order linear system under a saturated linear feedback. For general higher order systems, exact description of the domain of attraction seems impossible. Our objective in this chapter is to obtain an estimate of the domain of attraction, with the least conservatism, for general linear systems under saturated linear feedback. Our presentation draws on materials from our recent work [40]
Tingshu Hu, Zongli Lin
Chapter 8. On Enlarging the Domain of Attraction
Abstract
In this chapter, we will present a method for designing feedback gains that result in large domains of attraction. Our approach is to formulate the problem into a constrained optimization problem. Since the precise domain of attraction under a feedback law is hard to identify, we will first obtain invariant ellipsoids as estimates of the domain of attraction and then maximize the estimate over stabilizing feedback laws
In solving the optimization problem, we will also reveal a surprising aspect of the design for large domain of attraction. If our purpose is solely to enlarge the domain of attraction, we might as well restrict the invariant ellipsoid (an estimate of the domain of attraction) in the linear region of the saturation function, although allowing saturation will provide us more freedom in choosing controllers. Another interesting aspect is that, for a discrete-time system, the domain of attraction can be further enlarged if the design is performed on its lifted system
Tingshu Hu, Zongli Lin
Chapter 9. Semi-Global Stabilization with Guaranteed Regional Performance
Abstract
We revisit the problem of semi-globally stabilizing a linear system on its null controllable region with saturating actuators. This problem has been solved for single input systems with one or two anti-stable poles in both the continuous-time and discrete-time settings in 4 and 5, respec­tively. In this chapter, we will consider more general systems, possibly multiple input and with more than two anti-stable poles
Tingshu Hu, Zongli Lin
Chapter 10. Disturbance Rejection with Stability
Abstract
In this chapter, we will study the following linear systems subject to actu­ator saturation and persistent disturbances
= Ax + B sat(u) + Ew,(10.1.1)
and
x(k + 1) = Ax(k) + Bsat(u(k)) + Ew(k),(10.1.2)
where x E TV is the state, u E Rt is the control and w E BY is the dis­turbance. Also, sat : Rm is the standard saturation function that represents the constraints imposed by the actuators. Since the terms Ew and Ew(k) are outside of the saturation function, a trajectory might go unbounded no matter where it starts and whatever control we apply. Our primary concern is the boundedness of the trajectories in the presence of disturbances. We are interested in knowing if there exists a bounded set such that all the trajectories starting from inside of it can he kept within it. If there is such a bounded set, we would further like to synthesize feed­back laws that have the ability to reject the disturbance. Here disturbance rejection is in the sense that, there is a small (as small as possible) neigh­borhood of the origin, such that all the trajectories starting from inside of it (in particular, the origin) will remain in it. This performance is analyzed,for example, for the class of disturbances with finite energy in [32]. In this chapter, we will deal with persistent disturbances
Tingshu Hu, Zongli Lin
Chapter 11. On Maximizing the Convergence Rate
Abstract
Fast response is always a desired property for control systems. The time optimal control problem was formulated for this purpose. Although it is well known that the time optimal control is a bang-bang control, this control strategy is rarely implemented in real systems. The main reason is that it is generally impossible to characterize the switching surface. For discrete-time systems, online computation has been proposed in the literature, but the computation burden is very heavy since linear programming has to be solved recursively with increasing time-horizon. Also, as the time-horizon is extended, numerical problems become more severe. Another reason is that even if the optimal control can be obtained exactly and efficiently, it results in open-loop control
Tingshu Hu, Zongli Lin
Chapter 12. Output Regulation — Continuous-Time Systems
Abstract
Earlier in the book, we presented ways of constructing stabilizing feedback laws that result in large domains of attraction. In this chapter, we will study the classical problem of output regulation for linear systems subject to actuator saturation
Tingshu Hu, Zongli Lin
Chapter 13. Output Regulation — Discrete-Time Systems
Abstract
In Chapter 12, we systematically studied the problem of output regulation for continuous-time linear systems subject to actuator saturation. In particular, we characterized the regulatable region, the set of plant and exosystem initial conditions for which output regulation is possible with the saturating actuators. It turned out that the asymptotically regulatable region can be characterized in terms of the null controllable region of the anti-stable subsystem of the plant. We then constructed feedback laws that achieve regulation on the regulatable region. These feedback laws were constructed from the stabilizing feedback laws in such a way that a stabilizing feedback law that achieves a larger domain of attraction leads to a feedback law that achieves output regulation on a larger subset of the regulatable region and, a stabilizing feedback law on the entire asymptotically null controllable region leads to a feedback law that achieves output regulation on the entire asymptotically regulatable region
Tingshu Hu, Zongli Lin
Chapter 14. Linear Systems with Non-Actuator Saturation
Abstract
Throughout the previous chapters, we have closely examined linear systems with saturating actuators in a systematic manner. We will conclude this book with some results on linear systems subject to non-actuator saturation. We will establish necessary and sufficient conditions under which a planar linear system under state saturation is globally asymptotically stable. Another result that we will present in this chapter is the design of a family of linear saturated output feedback laws that would semi-globally stabilize a class of linear systems. Here, the saturated output is a result of sensor saturation. In general, the effects, and hence the treatment, of sensor saturation are very different from those of actuator saturation and are far from being systematically studied. The result presented here is only a very special situation which happens to be dual to a special case of the result presented in Chapter 4 on actuator saturation. Even in this special case, the mechanism behind the feedback laws is completely different.t
Tingshu Hu, Zongli Lin
Backmatter
Metadaten
Titel
Control Systems with Actuator Saturation
verfasst von
Tingshu Hu
Zongli Lin
Copyright-Jahr
2001
Verlag
Birkhäuser Boston
Electronic ISBN
978-1-4612-0205-9
Print ISBN
978-1-4612-6661-7
DOI
https://doi.org/10.1007/978-1-4612-0205-9