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TY - CONF AU - Scheinker, A. ED - Henderson, Stuart ED - Akers, Evelyn ED - Satogata, Todd ED - Schaa, Volker R.W. TI - Adaptive Accelerator Tuning J2 - Proc. of IPAC2015, Richmond, VA, USA, May 3-8, 2015 C1 - Richmond, VA, USA T2 - International Particle Accelerator Conference T3 - 6 LA - english AB - 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 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. PB - JACoW CP - Geneva, Switzerland SP - 1237 EP - 1239 KW - controls KW - DTL KW - feedback KW - hardware KW - simulation DA - 2015/06 PY - 2015 SN - 978-3-95450-168-7 DO - 10.18429/JACoW-IPAC2015-MOPWI034 UR - http://jacow.org/ipac2015/papers/mopwi034.pdf ER -