Local Orbit Bump Control in Indus-2 Using Intelligent Agents-Based Control for Enhanced System Operability

Abstract

Indus-2 is a 2.5 GeV 200 mA Synchrotron Radiation Source (SRS) available to researchers all over the country and being operated in round the clock mode as a national facility. The position and stability of electron beam in the circular orbit determine the critical position and size of photon beam spot in a typical beamline of tens of meter long. Precise orbit control is therefore extremely critical. Application of local electron orbit bump for various purposes is often needed in an SRS. It is applied in such a manner that the desired local electron orbit profile in the ring is achieved with least affect elsewhere. This in turn requires accurate system model. However, in accelerators, parameters change with the operating point and also an accurate model of the system is not possible for such a dynamic system. Even slight deviation of model from system dynamics may result in drastic side effects on the beam. So, to minimize the efforts put into orbit correction and to minimize disturbance outside local bump every time the manual tuning activity is required, an intelligent agent-based solution for finding bump parameters, with self skill update capability, is planned to be implemented into Indus-2 orbit control though. The criticality of the application demands a stable, reliable, and robust operation of the proposed software. Checks are adopted into the application and verification and validation tests would be carried out before final deployment.