পদ্ধতির তুলনা করুন

	ক্ষেত্র-ভিত্তিক নিয়ন্ত্রণ (Field-Oriented Control)	মডেল প্রেডিকটিভ কন্ট্রোল
ক্ষেত্র	নিয়ন্ত্রণ তত্ত্ব	নিয়ন্ত্রণ তত্ত্ব
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	1972	1978
প্রবর্তক	Flemming Blaschke	Jacques Richalet
ধরন	algorithm	algorithm
মৌলিক উৎস	Blaschke, F. (1972). The principle of field orientation as applied to the new transvector closed-loop control system for rotating field machines. Siemens Review, 34(5), 217-220.	Richalet, J., Rault, A., Testud, J., & Papon, J. (1978). Model predictive heuristic control. Automatica, 14(5), 413-428.
অপর নাম	FOC, Vector Control	MPC, Receding Horizon Control
সম্পর্কিত	2	5
সারসংক্ষেপ	Field-Oriented Control (FOC), also known as Vector Control, is an advanced method for controlling AC induction and permanent magnet motors by decomposing phase currents into torque and flux components and independently regulating them using PI controllers. Pioneered by Blaschke in 1972, FOC enables smooth precise motor control equivalent to DC motor performance, making it the standard for high-performance industrial variable-speed drives.	Model Predictive Control (MPC) is an advanced control strategy that uses an explicit process model to predict future system behavior over a finite horizon and solves an optimization problem at each control step. First formalized by Richalet et al. in 1978, MPC has become the dominant approach in process control industries, from chemical plants to autonomous vehicles, because it naturally handles constraints and can optimize multiple objectives simultaneously.