𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A microprocessor-based time optimal control for reduction of torsional vibration

✍ Scribed by H.Sh. Habib; S.S. Tawfiq; W.K. Sa’id


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
675 KB
Volume
180
Category
Article
ISSN
0022-460X

No coin nor oath required. For personal study only.

✦ Synopsis


Microprocessor-based time optimal control algorithms for reduction of torsional vibration are presented. The methods are based on the bang-bang approach and the implementation carried out in such a way as to minimize the number of real-time computations. Relationships involving the system's natural frequency and maximum applied acceleration have been developed. The technique is demonstrated experimentally by applying the control laws to a simple torsional vibration system. The system consists of an inertial load driven by a d.c. servomotor via a flexible shaft.


📜 SIMILAR VOLUMES


A Riccati-equation-based algorithm for c
✍ Joe Imae 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 140 KB 👁 2 views

In this paper we consider continuous-time unconstrained optimal control problems. We propose a computational method which is essentially based on the closed-loop solutions of the linear quadratic optimal control problems. In the proposed algorithm, Riccati differential equations play an important ro

Event-driven time-optimal control for a
✍ Jaime A. Moreno; Manuel J. Betancur; Germán Buitrón; Iván Moreno-Andrade 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 336 KB 👁 2 views

## Abstract Discontinuous bioreactors may be further optimized for processing inhibitory substrates using a convenient fed‐batch mode. To do so the filling rate must be controlled in such a way as to push the reaction rate to its maximum value, by increasing the substrate concentration just up to t

A simple algorithm for the time-optimal
✍ John N. Beard Jr.; Frank R. Groves Jr.; Adrain E. Johnson Jr. 📂 Article 📅 1974 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 668 KB

## Abstract A simple algorithm for the time‐optimal control of chemical processes during setpoint changes, in processes which can be described by a second‐order lag plus dead time model, is described. Knowledge of the unsteady state model parameters is not required because the algorithm uses a dime