By Gang Tao PhD, Shuhao Chen, Xidong Tang, Suresh M. Joshi PhD (auth.)

When an actuator fails, chaos or calamity can usually ensue.

It is as the actuator is the ultimate step within the keep watch over chain, while the keep watch over system’s directions are made bodily actual that failure may be so vital and tough to catch up on. whilst the character or situation of the failure is unknown, the offsetting of consequent process uncertainties turns into much more awkward.

Adaptive keep an eye on of structures with Actuator Failures facilities on counteracting occasions within which unknown regulate inputs turn into indeterminately unresponsive over an doubtful time period by way of adapting the responses of closing useful actuators. either "lock-in-place" and varying-value disasters are handled. the consequences offered demonstrate:

• the lifestyles of nominal plant-model matching controller buildings with linked matching stipulations for all attainable failure patterns;

• the alternative of a fascinating adaptive controller structure;

• derivation of novel errors versions within the presence of failures;

• the layout of adaptive legislation permitting controllers to answer mixtures of uncertainties stemming from activator disasters and approach parameters.

Adaptive keep watch over of structures with Actuator Failures might be of importance to regulate engineers more often than not and particularly to either lecturers and commercial practitioners engaged on safety-critical platforms or these during which full-blown fault identity and analysis is both too time eating or too expensive.

Show description

Read Online or Download Adaptive Control of Systems with Actuator Failures PDF

Best nonfiction_8 books

Low Dimensional Semiconductor Structures: Characterization, Modeling and Applications

Beginning with the 1st transistor in 1949, the area has skilled a technological revolution which has permeated such a lot points of contemporary lifestyles, really during the last iteration. yet one more such revolution looms up earlier than us with the newly built power to regulate subject at the nanometer scale.

Complete Minimal Surfaces of Finite Total Curvature

This monograph includes an exposition of the idea of minimum surfaces in Euclidean area, with an emphasis on whole minimum surfaces of finite overall curvature. Our exposition is predicated upon the philosophy that the learn of finite overall curvature entire minimum surfaces in R3, in huge degree, coincides with the research of meromorphic services and linear sequence on compact Riemann sur­ faces.

Convexity and Optimization in Finite Dimensions I

Dantzig's improvement of linear programming into the most appropriate optimization thoughts has unfold curiosity within the algebra of linear inequalities, the geometry of polyhedra, the topology of convex units, and the research of convex capabilities. it's the target of this quantity to supply a synopsis of those subject matters, and thereby the theoretical again­ flooring for the mathematics of convex optimization to be handled in a sub­ sequent quantity.

Psychological and Behavioral Assessment: Impact on Pediatric Care

Over the past numerous many years, the notable luck of technology and scientific know-how has allowed many teenagers with power disorder and handicapping stipulations to dwell longer and more fit lives. yet this suc­ cess isn't with no toll. The human rate of continual affliction or a handicap­ ping could be huge, immense for the kid and the family members.

Additional info for Adaptive Control of Systems with Actuator Failures

Sample text

167) may considerably reduce the number of times the matching conditions need to be checked.

108) where q1 is the minimum eigenvalue of Q. 109) for some constant c0 > 0. The last inequality indicates that the mean value of the error e(t) 2 can be made small by a choice of small . When t2 > t1 but t1 ∈ [Ti , Ti+1 ] and t2 ∈ [Tj , Tj+1 ], j > i, the error e(t) is bounded for t ∈ [t1 , t2 ] so that the mean value of e(t) 2 is also bounded. After a finite number of actuator failures, Tm0 +1 = ∞ for some m0 but Tm0 is finite. 108). In summary we have the following result. 1. 108). 3 Robust Adaptation Robust parameter adaptation is important for adaptive control in the presence of modeling errors that cannot be parametrized such as system structural changes, parameter variations, external disturbance, and unmodeled ˙ dynamics.

9), that is, ∗ ∗ ∗ ∗ ∗ ∗ for a special choice k1i = ks1i , k2i = ks2i , k1j = 0, k2j = 0, for all j = i. 4) is necessary for solving the formulated actuator failure compensation problems. 4) is also sufficient for solving the adaptive actuator failure compensation problem. 1). 4 for adaptive actuator failure compensation designs using parameter estimates for different failure models: constant, parametrizable, or unparametrizable varying failures. 1 Fundamental Issues and Solutions 19 modeling, controller structures, plant-model matching, error models, adaptive laws, stability analysis, which are different from those in the standard adaptive control cases without actuator failures, are to be addressed.

Download PDF sample

Rated 4.62 of 5 – based on 49 votes