Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i48/107934
Year: 2016, Volume: 9, Issue: Special Issue 1, Pages: 1-10
Original Article
Ravi Kumar Jatoth1 , Ravva Gurunadha2 *, Yeshwanth Reddy Kamireddy1 and Boda Bhasker3
1 Department of ECE, National Institute of Technology, Warangal -506004, Telangana, India; [email protected]
[email protected]
2 Department of ECE, Jawaharlal Nehru Technological University, Kakinada - 533003, Andhra Pradesh, India; [email protected]
3 Department of Electrical and Computer Engineer, Jimma University, Jimma 378, Ethiopia, Ethiopia, Africa; [email protected]
*Author for correspondence
Ravva Gurunadha
Department of ECE
Email:[email protected]
A New effective optimization Technique called ‘Hybrid DE-TLBO’ is proposed in this paper by clubbing of Differential Evolution10 and Teacher learning Based optimization algorithms9 for optimization of motion control of one degree of freedom of Robotic arm consisting of a DC Motor. This algorithm is used to control the PID gains namely Kp, Ki, Kd to get the optimized values of desired specifications that is to optimize the Rise time, settling time, steady state error, Maximum Peak Overshoot. This can be achieved through developing the model of DC Motor of Robotic Arm in Simulink and simulate with the algorithm and comparing with DE and TLBO algorithms.
Keywords: DC Motor, Differential Evolution, Hybrid DE_TLBO, PID Controller, Teacher Leearning Based Optimisation
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