Сравнение на методи

	Векторно управление	Моделно-предиктивно управление
Област	Теория на управлението	Теория на управлението
Семейство	Machine learning	Machine learning
Година на възникване	1972	1978
Създател	Flemming Blaschke	Jacques Richalet
Тип	algorithm	algorithm
Основополагащ източник	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.
Други названия	FOC, Vector Control	MPC, Receding Horizon Control
Свързани	2	5
Резюме	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.