A fast model free intelligent controller based on fused emotions: A practical case implementation

摘要: In this paper a combination of brain emotional learning based intelligent controllers (BELBICs) is employed to control an unidentified practical overhead crane. The proposed controller model free and has the capability deal with multi objective problems. These properties make BELBIC powerful for unknown complex systems when identification in not cost effective or cannot be performed. fast resulted good performance even short procedure (training) time, which very important real time control. implemented on laboratorial crane task. Two different loads are added set simulate uncertainties actual To consider main extra objectives nonlinear them used generate stress signal. Experimental results show that system so rapid can eliminate any need prior identification. compared original sample HFLC-ANFIS. comparison ANFIS compensator it faster compensation tracking regulating load swings rejecting disturbances. Also, presence disturbances, does decrease significantly slightly better than others.