Use of digital control theory state space formalism for feedback at SLC
The algorithms used in the database-driven SLC fast-feedback system are based on the state space formalism of digital control theory. These are implemented as a set of matrix equations which use a Kalman filter to estimate a vector of states from a vector of measurements, and then apply a gain matrix to determine the actuator settings from the state vector. The matrices used in the calculation are derived offline using Linear Quadratic Gaussian minimization. For a given noise spectrum, this procedure minimizes the rms of the states (e.g., the position or energy of the beam). The offline program also allows simulation of the loop's response to arbitrary inputs, and calculates its frequency response. 3 refs., 3 figs.
- Research Organization:
- Stanford Linear Accelerator Center, Menlo Park, CA (USA)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (USA)
- DOE Contract Number:
- AC03-76SF00515
- OSTI ID:
- 5730530
- Report Number(s):
- SLAC-PUB-5470; CONF-910505-70; ON: DE91012388
- Resource Relation:
- Conference: 1991 Institute of Electrical and Electronics Engineers (IEEE) particle accelerator conference (PAC), San Francisco, CA (USA), 6-9 May 1991
- Country of Publication:
- United States
- Language:
- English
Similar Records
Tutorial on beam-based feedback systems for linacs
Stochastic adaptive particle-beam tracker using Meer-filter feedback. Master's thesis
Related Subjects
STANFORD LINEAR COLLIDER
COMPUTERIZED CONTROL SYSTEMS
ALGORITHMS
BEAM DYNAMICS
CONTROL THEORY
DATA BASE MANAGEMENT
DESIGN
FEEDBACK
NOISE
ACCELERATOR FACILITIES
ACCELERATORS
CONTROL SYSTEMS
LINEAR ACCELERATORS
MANAGEMENT
MATHEMATICAL LOGIC
430303* - Particle Accelerators- Experimental Facilities & Equipment