Interaction measures for systems under decentralized control
β Scribed by Pierre Grosdidier; Manfred Morari
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 832 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
A shortcoming of many of the currently available measures of interactions is their limited theoretical basis. Using the notion of Structured Singular Value (SSV), a new dynamic interaction measure is defined for multivariable systems under feedback with diagonal or block diagonal controllers. This measure can be used not only to predict the stability of decentralized control systems but also to measure the performance loss caused by these control structures. In particular, its steady state value provides a sufficient condition for achieving offset-free performance with the closed loop system. The relationship of this new interaction measure with Rijnsdorp's interaction measure (1965) and Rosenbrock's Direct Nyquist Array (1974) is clarified.
π SIMILAR VOLUMES
A proposed completely decentralized controller for interconnected systems with unmodelled nonlinearity and interaction gives each subsystem a near-optimal performance close to the decomposed, linearized optimal response.
Based on a rigorous formulation and analysis, a decentralized control system is structurally decomposed into separate SISO control loops with interactions unmasked. In particular, the decomposition provides a completely equivalent representation of the original multivariable system, and consequently
## Abstract A new interaction analysis for decentralized control is presented in this paper. The proposed method uses (__Q__, __S__, __R__)βdissipativity and passivity to identify the effect of loop interactions on the dynamic control performance achievable by multiloop controllers (in terms of ope