Abstract—A general controller evaluation method is introduced, based on robustness criteria of well-known PID Controller formulate for process of non-linear systems using experimental of coefficients for flank wear of dynamic models obtained are calibrated with the actual conditions. These developed models will be used for the simulation of flank wear and using control variable such as cutting speed; the flank wear will be controlled. For model validation, the flank wear is estimated using a non-linear model. In the present work, an attempt has been made to control the flank wear during turning of on-line cutting process using the Fuzzy Logic Controller and Neural network based on self-tuning of PID controller approaches. Those approaches are treat the material as dynamic system and involve developing state space models from available material behavior model. The evaluation of performance criteria can be compared for those approaches of PI controller with Neural network and Fuzzy PID controller based on self-tuning of PID controller. Simulation studies are carried-out for the non-linear system using MATLAB software.
Index Terms—Tool wear estimation, Flank wear, Dynamic system models, turning of PID-Controller, Neural network based on self-tuning of PID controller, Fuzzy Logic Controller.
1*Research Scholar, J.N.T. University, Ananthapur, A.P, India (e-mail: firstname.lastname@example.org).
2.Sr. Grade, Asst. Professor, Dept. of Mechanical Engg, ASCET, Nellore, India (email: email@example.com).
3.Professor, (ECE), S. V. University, Tirupati, India (email: firstname.lastname@example.org).
4.Professor(ECE) J.N.T. University, ulivendula, India .,
Cite: Polaiah Bojja, K. Abraham, S. Varadarajan and M. N. Giri Prasad, "Evaluation and Development of Advance Control Strategies Which Uses Pattern Recognition Technique for Nonlinear System," International Journal of Computer Theory and Engineering vol. 3, no. 1, pp. 111-115, 2011.