Bandingkan kaedah

	Kawalan Tork Langsung	Kawalan Adaptif
Bidang	Teori Kawalan	Teori Kawalan
Keluarga	Machine learning	Machine learning
Tahun asal	1986	1983
Pengasas	Isao Takahashi	Karl J. Astrom
Jenis	algorithm	algorithm
Sumber perintis	Takahashi, I., & Noguchi, T. (1986). A new quick-response and high-efficiency control strategy of an induction motor. IEEE Transactions on Industry Applications, IA-22(5), 820-827.	Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall.
Alias	DTC, Direct Flux Control	Self-Tuning Control, Parameter Estimation Control
Berkaitan	3	3
Ringkasan	Direct Torque Control (DTC) is a method for controlling induction motors by directly manipulating magnetic flux and torque through switching of power converter inverter arms. Introduced by Takahashi and Noguchi in 1986, DTC provides fast torque response, low harmonic distortion, and robust performance without requiring current controllers or coordinate transformations, making it ideal for high-performance drive applications.	Adaptive Control is a control strategy that adjusts controller parameters in real-time based on online system identification to maintain performance despite changing plant dynamics or uncertain parameters. Pioneered by Astrom and Wittenmark, adaptive control enables robust operation in time-varying environments, from aircraft with fuel depletion to industrial systems with aging components.