Practical Evaluation and Performance Comparison of Data Driven and Model Based Control Techniques for an Electromechanical System with Uncertainties

This paper addresses a design guide and real-time implementation of Linear Active Disturbance Rejection Control (LADRC) based control strategy for achieving high precision servo control performance. A number of essential concerns related to Active Disturbance Rejection Control (ADRC) implementations are experimentally investigated, such as design procedure, parameter adjustment, structural alterations, and real-time realization. The applicability of LADRC is validated for an electromechanical system comprising uncertainties and disturbances. The reduced-order approximated model of the system is obtained experimentally. The proposed controller can handle the problem in control parameter adjustment and accomplish enhanced control response. In terms of Maximum Absolute Error (MAE) which is 12.68 RPM for 1200 RPM reference and variance of control input which is 0.49 V for 4.48 V, LADRC algorithm for the electromechanical system is more suitable than Sliding Mode Control (SMC) and Proportion Integral Derivative (PID) control methodologies. The study shows that LADRC provides an efficient way of operation because it is possible to get less amount of MAE with less amount of control signal amplitude.