Title :
Hybrid fuzzy bang-bang mode controller for electric motor drives applications
Author :
Rubaai, Ahmed ; Jerry, Jan
Author_Institution :
Coll. of Eng., Archit. & Comput. Sci., Howard Univ., Washington, DC, USA
Abstract :
This paper proposes a real-time hybrid fuzzy bang-bang (BB) controller for high performance motor drives. The controller consists of a fuzzy-BB controller in parallel with BB-controller. The objective is to develop a nonlinear BB-controller using the fuzzy control paradigm for position control of electric motor drives to achieve an improved motor behavior. In order to combine the advantages of fuzzy-BB and BB-based controllers, a hybrid fuzzy-BB controller is proposed in which the output can either be the outputs of the two, i.e. the fuzzy-BB or BB units being switched as per the absolute error signal. The principle of the proposed control strategy is that to use a BB controller, which performs satisfactory in most cases, while keeping in the background a fuzzy-BB controller, which, is ready to take over the BB-controller when changes such as overshoot and oscillations occur in the drive system. Here, the selection between the fuzzy-BB and the BB-controllers is based on a set of simple rules; oscillations have to be detected by the absolute error. The hybrid fuzzy-BB controller has been implemented on hardware with dSPACE DSP processor, and it is observed that the performance of the controlled BLDC motor drive with the hybrid fuzzy-BB controller is very promising. The results clearly demonstrate that the hybrid fuzzy-BB controller is capable of significantly improving the motor performance under random disturbance and different loading conditions.
Keywords :
DC motor drives; brushless DC motors; error analysis; fuzzy control; nonlinear control systems; position control; BLDC motor drive; absolute error signal; control strategy; dSPACE DSP processor; electric motor drive; high performance motor drives; hybrid fuzzy-BB controller; motor performance; nonlinear BB-controller; position control; real time hybrid fuzzy bang-bang mode controller; Digital signal processing; Indexes; Laboratories; Process control; Fuzzy controller; PM BLDC motor; hybrid fuzzy-bang-bang controller; motor control;
Conference_Titel :
Industry Applications Society Annual Meeting (IAS), 2011 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-9498-9
DOI :
10.1109/IAS.2011.6074336