{"id":2433,"date":"2024-01-03T10:24:13","date_gmt":"2024-01-03T04:54:13","guid":{"rendered":"https:\/\/acods-conference.org\/2024\/?post_type=section&p=2433"},"modified":"2024-03-08T17:02:05","modified_gmt":"2024-03-08T11:32:05","slug":"prof-radhakant-padhi","status":"publish","type":"section","link":"https:\/\/acods-conference.org\/2024\/section\/prof-radhakant-padhi\/","title":{"rendered":"Optimal Guidance in India\u2019s Chandrayaan-3 Mission and Beyond"},"content":{"rendered":"\t\t
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\"\"<\/p>

Speaker:
<\/strong>Prof. Radhakant Padhi, HAL Chair Professor, Department of Aerospace Engineering, Indian Institute of Science, Bangalore<\/p>

Abstract:\u00a0
<\/strong>This talk will first discuss the genesis, development and implementation of a control-synergetic optimal powered descent guidance algorithm for soft-landing in the recently successful Chandrayaan-3 lunar mission of India that achieved a high-precision autonomous landing of a lander near the south pole of the moon. Such guidance laws are key components of various inter-planetary missions and also missions involving unmanned aerial vehicles. In addition to ensuring high accuracies in terminal position, velocity and acceleration, a good soft-landing guidance algorithm must also ensure thrust vector continuity between mission phases, recovery from path perturbations, and predictive prevention of excessive altitude excursions. Moreover, limited capability of onboard processors necessitates closed-form <\/em>guidance laws. A powerful Jerk-minimizing optimal guidance incorporating all these features will be discussed in this talk, a slightly milder version of which was used in the Chandrayaan-3<\/em> mission due to system limitations. The talk will also discuss the experiments carried out in the outdoor environment using quadcopters for confidence building prior to the Chandrayaan-3 mission.<\/p>

The latter part of this talk will focus on Computational Guidance<\/em> algorithms that provide significantly higher performance by incorporating the applicable nonlinear system dynamics and path constraints, while optimizing a more sophisticated cost function. Recent advancement in fast <\/em>solution algorithms<\/em> coupled with the improved computational speed of the modern processors enables computation of these guidance laws in real time. After a brief overview of the computational guidance philosophy and some of the available literature, focus will be on the MPSP (Model Predictive Static Programming)<\/em> and its variants, developed by the speaker and his co-authors over the past two decades, and its application in various space missions. The talk will conclude with the application of this algorithm for the long-duration station-keeping of India\u2019s ongoing Aditya L1<\/sub><\/em> sun-observation mission in a quasi-halo orbit.<\/p>

Speaker bio:
<\/strong>Prof. Radhakant Padhi, received a Ph.D. from the Missouri University of Science and Technology, Rolla, USA, is currently the HAL Chair Professor<\/em> at the Department of Aerospace engineering in the Indian Institute of Science, Bangalore; and also an Associate Faculty at its Centre for Cyber-Physical Systems. He is a Fellow of Indian National Academy of Engineering, Aeronautical Society of India, Astronautical Society of India, IETE, and Institute of Engineers India. He is an Associate Fellow of AIAA and a Senior Member of Institute of IEEE. He is the Director of Operations of the Automatic Control and Dynamic Optimization Society of India. He is an Associate Editor of Unmanned Systems journal, and has been an associated editor of two more journals in the past in the control and automation field.<\/p>

Prof. Padhi\u2019s research interest is on optimal and nonlinear control synthesis algorithms and their applications to challenging practical problems in aerospace, biomedical and mechanical engineering as well as other application areas such as process control and laser beam pointing control. He has co-authored over 280 publications in international journals and conferences and also a book on Satellite Formation Flying. Prof. Padhi is a member of technical review committees for several missions of ISRO and DRDO of India, including the performance analysis committee which analyzed the reasons for partial failure of Chandrayaan-2 mission and suggested the necessary improvements for the Chandrayaan 3 mission.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\u00a0<\/p>

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