A BMO‐based MRPID controller with optimal control of speed in hybrid stepper motor

• Published in: Optimal control applications & methods Vol. 45; no. 2; pp. 700 - 718
• Main Authors: Deepa, S. M., Venkatesh, C., Nandalal, V.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.03.2024; Wiley Subscription Services, Inc
• Subjects: Algorithms; barnacles mating optimizer algorithm; Controllers; Derivatives; Electric potential; field oriented control (FOC) theory; hybrid stepper motor (HSM); Integrals; multi resolution proportional‐integral derivative (MRPID); Optimal control; Recovery time; Speed control; Stepping motors; Voltage
• ISSN: 0143-2087; 1099-1514
• DOI: 10.1002/oca.3067

This paper proposes a Barnacles mating optimizer‐based multi‐resolution proportional‐integral derivative (MRPID) controller for precise speed control of the hybrid stepper motor (HSM). The proposed approach is a barnacle mating optimizer (BMO) control scheme. The main objective of this approach is to use the MRPID controller to improve speed control in particular and uncertain conditions. The BMO is utilized to create the proposed MRPID controller. The proposed converter has a low switching voltage and uses a low input current. The proposed converter supplies a large amount of power to the voltage source inverter (VSI), which converts DC to AC and then supplies it to the HSM. The HSM can be utilized in various settings, including robots and factory applications. Then, the performance of the proposed system has been evaluated in the MATLAB platform and compared with various existing systems. The existing adaptive neuro‐fuzzy inference system (ANFIS) and the moth flame optimization algorithm (MFO) methods are used to validate the efficiency of the proposed controller. The proposed system rise time is 0.0007, the settling time is 0.1, the recovery time is 0.221, the AMU is 1.205, the IAE is 0.1034, and the SSE is 0.234. According to the simulation findings, the suggested system is statistically significant. A novel controller based on barnacles mating optimizer and multi resolution proportional‐integral derivative is proposed for precise speed control of hybrid stepper motor. The proposed controller has a fast response time and high accuracy even under uncertain conditions. The proposed controller outperforms existing controllers like adaptive neuro‐fuzzy inference system and moth flame optimization. The proposed controller has a low switching voltage stress and uses a low input current.