Adaptive Accelerator Tuning

Alexander Scheinker, Schaa, Volker R.W. (Ed.), Satogata, Todd (Ed.), Akers, Evelyn (Ed.), Henderson, Stuart (Ed.)
We start with an overview of advanced adaptive control schemes in use throughout the accelerator community. We then present a recently developed, novel, model-independent feedback controller*, which is robust to measurement noise, and able to tune an arbitrary number of coupled parameters simultaneously based only on a user-defined cost function. We discuss the possibility of combining virtual beam measurements from simulations with actual diagnostic signals from the accelerator into a single
more » ... tor into a single cost function, which takes into account both unknown machine variations and estimates of physically inaccessible beam characteristics. We present recent in-hardware experimental results obtained at the Los Alamos Neutron Science Center** and at the Facility for Advanced Accelerator Tests (FACET)***, demonstrating the scheme's ability to simultaneously tune many parameters and its robustness to noise and system time-variation.
doi:10.18429/jacow-ipac2015-mopwi034 fatcat:2abx2xkzbnhupgekfcsajhwroq