DISTURBANCE REJECTION FOPID CONTROL OF ROTOR BY MULTI-OBJECTIVE BB-BC OPTIMIZATION ALGORITHM Abdullah Ates Inonu University, Computer Engineering Department Malatya, Turkey Baris Baykant Alagoz Inonu University, Computer Engineering Department Malatya, Turkey Celaleddin Yeroglu Inonu University, Computer Engineering Department Malatya, Turkey Jie Yuan Southeast University, College of Automation Nanjing, China YangQuan Chen University of California Merced, Mechatronics, Embedded Systems and Automation Lab. Merced, CA, USA ABSTRACT This paper presents a FOPID tuning method for disturbance reject control by using multi-objective BB-BC optimization algorithm. Proposed method allows multi-objective optimization of set-point performance and disturbance rejection performances of FOPID control system. The objective function to be minimized is composed of the weighted sum of MSE for set-point performance and RDR for disturbance rejection improvement. The proposed optimization performs maximization of RDR and minimization of MSE and it can deal with the tradeoff between RDR performance and step-point performance. Application of the method is shown for auto- tuning of FOPID controller that is employed for control of TRMS model. We observed that low-frequency RDR indices can be used to improve disturbance rejection performance in multi-objective controller tuning problems. Particularly, for flight control application, disturbance reject control is very substantial to robust performance of propulsion systems. INTRODUCTION FOPID controllers have been suggested by Podlubny in 1999 [1] by substituting integer order derivative and integrator of classical PID with fractional one. These modification lead to two additional order parameters  and  and these modification can improve frequency response of classical PID controller, which allows to obtain better control performance and better stability compared to PID controllers [2]. Nowadays, FOPID controller begins to find application in practice applications due to its advantages to classical PID controller, which has turned into a standard for industrial controller class [3]. Many study reported that FOPID controller provides better control performance and stability compared to PID controllers [4]. Due to increasing practical utilization of FOPID controllers, tuning of FOPID control system to obtain a desired control response for specific control mission is becoming more important and many methods have been developed to address the FOPID controller tuning problem [5]. These methods can be mainly classified in two groups, which are methods based on analytical optimization methods [6] and methods based on heuristic methods [7]. Due to high computational complexity of fractional order control system, heuristic optimization methods presents advantages of set and trail search methodology. However, efforts to improve performance of heuristic optimization methods, particularly for controller tuning problems, are needed and increasing. Many methods was suggested or modified to obtain desired control performance such as; SMDO method [8], Tabu search based optimization algorithm [9], Fruit Fly Optimization algorithm [10], Cuckoo search algorithm [11], Adaptive Particle Swarm Optimization algorithm [12] . Another advantage of employment for heuristic optimization methods in control application is that they allow multi-objective optimization. Control tuning problem is indeed resolving tradeoff between many objectives such as low overshoots, fast settling, disturbance rejection, robust stability etc. Considering these objectives in controller tuning allows to obtain a good controller responding to many application constraints. Performance of the optimization process has been increased by combining many objective functions based on average errors (MSE, ITAE, ISE, IAE), rising time, settling time, steady state Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE 2017 August 6-9, 2017, Cleveland, Ohio, USA DETC2017-67283 1 Copyright © 2017 ASME Downloaded From: http://proceedings.asmedigitalcollection.asme.org/ on 11/13/2017 Terms of Use: http://www.asme.org/about-asme/terms-of-use