机构地区:[1]Malaysia-Japan International Institute of Technology,University of Technology Malaysia,Kuala Lumpur 54100,Malaysia [2]Razak School of Engineering and Advanced Technology,University of Technology Malaysia,Kuala Lumpur,54100,Malaysia [3]Department of Industrial Engineering,University of Business and Technology,Jeddah 21361,Saudi Arabia [4]Graduate School of System Design,Tokyo Metropolitan University,Tokyo 191-0065,Japan
出 处:《Journal of Systems Engineering and Electronics》2017年第6期1221-1235,共15页系统工程与电子技术(英文版)
摘 要:The goal of this paper is to enhance a practical nominal characteristic trajectory following(NCTF) controller that is specifically designed for two-mass point-to-point positioning systems. A nominal characteristics trajectory contained in the NCTF controller acts as movement/motion reference and a compensator is utilized to force the object to detect and follow the reference/desired trajectory. The object must follow and track closely and should be as fast as possible. The NCTF controller is designed with two different intelligent based compensator approaches which are fuzzy logic and extended minimal resource allocation network. The proposed controller which is NCTF are compared with the conventional proportional integral compensator. Then the results of simulation are discussed for the positioning performances. The inertia variations due to the effect of the design parameters are also assessed to see the robustness of controllers. The results show that the NCTF control method designed from an intelligent based compensator has a better positioning performance in terms of percentage of overshoot, settling time, and steady state error than the classical based compensator.The goal of this paper is to enhance a practical nominal characteristic trajectory following(NCTF) controller that is specifically designed for two-mass point-to-point positioning systems. A nominal characteristics trajectory contained in the NCTF controller acts as movement/motion reference and a compensator is utilized to force the object to detect and follow the reference/desired trajectory. The object must follow and track closely and should be as fast as possible. The NCTF controller is designed with two different intelligent based compensator approaches which are fuzzy logic and extended minimal resource allocation network. The proposed controller which is NCTF are compared with the conventional proportional integral compensator. Then the results of simulation are discussed for the positioning performances. The inertia variations due to the effect of the design parameters are also assessed to see the robustness of controllers. The results show that the NCTF control method designed from an intelligent based compensator has a better positioning performance in terms of percentage of overshoot, settling time, and steady state error than the classical based compensator.
关 键 词:two-mass rotary system intelligent approach classi cal method mechanical vibration nominal characteristic trajectory following
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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