Intelligent Mobile Robot System for Designing and Implementing Nested Fuzzy Logic Controllers to Reduce the Effects of Electromagnetic and Environmental Radiations on Military Robots and Manipulators
Abstract
The main reason for submitting this proposal is that most current autonomous mobile robots or manipulators used in military or commercial fields have a vital shortcoming, which is that most robots or manipulators would be out-of-control in the existence of radiations, including optical, environment and electromagnetic radiations. In the worst case, all robots would be out-of-order in the electromagnetic radiations environment. Most robots used in the military and battlefields have been also encountered the interference caused by the electromagnetic radiations, especially by the electromagnetic weapons. In the worst situations, the robots cannot perform their tasks properly under the affection of the electromagnetic radiations issued by the radiation weapons. In order to effectively reduce those effects of electromagnetic radiations on robots or manipulators, it is necessary to design and build intelligent control systems for robots to greatly overcome the disturbances caused by the radiations and furthermore, to successfully fulfill the desired tasks in the existence of electromagnetic radiations in either battlefields or critical emergency situations. In this study, we need to request and use different mobile robots and controllers to develop and implement a nested-fuzzy controller (NFC) that combines coarse and fine fuzzy logic control algorithms to effectively reduce the effects of one of the most popular radiation band, 0~60 Hz power electromagnetic waves. As the result of this study, an intelligent nested fuzzy controller can be developed and implemented in most mobile robots to effectively reduce the effects of electromagnetic radiations to enable those robots to successfully fulfill the desired military tasks. Another reason for submitting this proposal is the steady decrease in the performance of African American undergraduate students in engineering technologies, which is alarming to all science and engineering educators in the United States. To solve these critical issues and problems, and improve this situation effectively, we develop this two-phase research and education robotics program. The proposed work also intends to increase the number of graduates of underrepresented minorities in the field of computer engineering and encourage them to continue their graduate study in this field. Besides the research and research training purposes, the proposed work intends to promote integration of multi-disciplined learning and collaborative learning in intelligent robotics among different departments in JCSU, as well as other colleges in the Charlotte area, and enable JCSU and area universities to participate more competitively in scientific research programs related to DoDÕs mission and provide a venue for undergraduate research in science and engineering in the future. To encourage African American students who major in CSE at JCSU to apply for and enroll in a graduate program, some research projects will be designed and applied in some upper CSE courses to enable students to become involved in and participate in these projects. Advanced research topics and technologies, such as embedded control, fuzzy logic control, wireless/remote communications and control, will be discussed, analyzed and implemented in those mobile robots built in above. In this way, students can be motivated in advanced engineering technologies and eager to pursue their graduate studies and furthermore, their careers in this field. In addition, the integration of multi-disciplined learning and collaborative research in intelligent robotics among different departments in JCSU can also be improved and enhanced by summer workshops and training programs held periodically at JCSU. Researchers can exchange research experiences and approaches among themselves to furthermore set up a pavement for their future development and research in areas of interest to the DoD.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 19, 2019
- Source ID
- W911NF1910455
Entities
People
- Ying Bai
Organizations
- Army Contracting Command
- Johnson C. Smith University
- Office of the Secretary of Defense