Ph.D. Thesis Colloquium

Dear all,




                                      Ph.D. Thesis Colloquium


NAME OF THE CANDIDATE       :         Mr. Aravind M. A.


DEGREE                                         :         Ph.D.


TITLE OF THE THESIS                  :         Application of Experience Mapping based Predictive   

                                                                 Controller  (EMPC) for under-damped and unstable 



 SUPERVISORS                              :         Prof. K. Rajanna & Prof. N.S Dinesh.


DATE AND TIME                          :         Thursday, 9th  May 2019 at 03.00 P.M.


VENUE                                           :         Lecture Hall-1, Dept. of Instrumentation

                                                                  & Applied  Physics. 



A new controller based on the concept of Human Motor Control titled, Experience Mapping based Predictive Controller (EMPC) was developed for well damped Type 1 system. In this thesis, the concepts of EMPC have been improvised and applied to an under-damped Type 1 system to achieve reduced overshoots and oscillations. The proposed controller is applied to a DC motor based positioning system with a load coupled through a flexible shaft, which constitutes an under damped position system. EMPC uses the concept of learning by experience and generates an Experience Mapped Knowledge (EMK) which stores a one-to-one mapping of the control parameter to the corresponding steady state value of the parameter to be controlled. The EMK is generated by applying various control action to the system with different values of the control parameter and corresponding steady state values are recorded. EMK helps EMPC to give the right control action for a given demand by using linear interpolation method.


Simulation and practical experimental results show that the proposed controller performs better than traditional controllers like the Proportional-Derivative (PD), and State Space based controllers like the Linear Quadratic Regulator (LQR) and the Linear Quadratic Gaussian (LQG) controller. Stability of the controller for non-linearities and various changes in system parameters such as dry friction, actuator saturation, load inertia and spring constant and adaptability of the controller for the same are also discussed with suitable simulation results.


The concepts of EMPC are further modified to suit non-minimum phase systems with systems containing Backlash as an example. EMPC demonstrates reduced overshoots and zero steady state error in both simulation and practical system. EMPC is practically applied to control an inverted pendulum which does balancing and centring of the carriage simultaneously.




Date(s) - 09/05/2019
3:00 pm - 4:00 pm

Lecture Hall-1, Dept. of Instrumentation & Applied Physics.
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