Novel Approach to Optimal Preview Control of DC Motor using Evolutionary Algorithms

Abstract

This paper purposes a new method of designing a preview controller for speed control of the DC motor system based on evolutionary algorithm. The preview controller, which includes the desired or disturbance signals, is used to improve the transient response of the system. A novel error system is proposed and introduced into the control law to increase the robustness of the system. The state equation is analyzed and the augmented error system is constructed with the derivative of the tracking error signal, the state equation, and an identical equation of the derivative of the control input. Therefore, the performance index also contains the derivative of the control input which helps in reducing static errors. Based on the theory of optimal control, the regulator problem of the augmented error system is solved. The optimal preview control system is implemented, and its applicability is demonstrated by simulation results. Also, the aim of this work is to design optimal preview controller for the DC motor system with parametric uncertainties and delay. Results are shown for tracking in the presence of uncertainty and delay in the process. The effectiveness of the proposed approach is supported by a comparison with standard approaches like Proportional Integral Derivative control and Linear Quadratic Regulator control.

KEYWORDS:

• Genetic algorithm
• Optimal control
• Optimization
• Particle swarm optimization
• Performance index
• Preview control system
• Previewing information
• Target tracking

Additional information

Notes on contributors

R. Kaur

Randeep Kaur obtained her BTech in electronics and instrumentation in 2004 and MTech in process control instrumentation in 2006 from Kurukshetra University, Kurukshetra. She is currently pursuing her PhD at NIT Kurukshetra, Kurukshetra.

J. Ohri

Jyoti Ohri obtained her BTech and MTech degree from NIT Kurukshetra, Kurukshetra. She obtained her PhD from NIT Kurukshetra, Kurukshetra. She is credited for publishing more than 50 international, national journals and conference papers. Her active research areas are control, robotics and instrumentation. Email: [email protected]