Zhibin Miao

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Wheel speed and turn angle are the main parameters in the self navigation for a robot. Since the parameters of self navigation significantly influence robot walking time and robot walking quality, techniques of determining optimal route parameters are in high demand in robot industry. Usually the turn angle is determined and fixed according to certain(More)
Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) are very practical method to get high precision navigation. GPS/INS data Fusion in navigation has been a research topic for decades. Usually the update time of GPS an INS is different. The update time of GPS is 20HZ, and the time of INS is 100HZ or higher. Since GPS and INS(More)
Determination of optimal machining parameters - spindle rate, feed rate, and depth of cut - has been a research topic for decades. Since the parameters of CNC machining significantly influence part machining time, part surface quality, and tool life, techniques of determining optimal machining parameters are in high demand in manufacturing industry. Usually(More)
More and more hybrid electric vehicles are driven since they offer such advantages as energy savings and better active safety performance. Hybrid vehicles have two or more power driving systems and frequently switch working condition, so controlling stability is very important. In this work, a two-stage Kalman algorithm method is used to fuse data in hybrid(More)
More and more fuzzy applications are used in GPS and INS navigation. Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) are very practical method to get high precision navigation. However, GPS/INS data Fusion in navigation has been a research topic for decades. Since GPS and INS are mainly methods in navigation system,(More)
With the development of the vehicle industry, controlling stability has become more and more important. Techniques of evaluating vehicle stability are in high demand. As a common method, usually GPS sensors and INS sensors are applied to measure vehicle stability parameters by fusing data from the two system sensors. Although prior model parameters should(More)
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