This paper demonstrates a strategy for the design and implementation of model reference controllers. The design technique is based on constructing an error vector between the plant measurable states and the states of the proposed controller, then forcing the gradient of this error vector to be negative via the use of a suitable Liapunov function. The suggested design procedure is applicable for non-linear processes without any need to carry out linearization approximations. A simulated two degrees of freedom robot arm is used to exemplify the suggested technique, A few practical considerations are then addressed to investigate the causality of the proposed controller and its applicability to real-time process control systems. Conclusion is submitted with a few comments regarding both the adaptivity and real-time compatibility of the proposed controllers.
Soliman, K. (2021). Real-Time Model-Reference Control of Non-Linear Processes.. MEJ- Mansoura Engineering Journal, 19(4), 26-35. doi: 10.21608/bfemu.2021.163727
MLA
Kamel Mohamed Soliman. "Real-Time Model-Reference Control of Non-Linear Processes.". MEJ- Mansoura Engineering Journal, 19, 4, 2021, 26-35. doi: 10.21608/bfemu.2021.163727
HARVARD
Soliman, K. (2021). 'Real-Time Model-Reference Control of Non-Linear Processes.', MEJ- Mansoura Engineering Journal, 19(4), pp. 26-35. doi: 10.21608/bfemu.2021.163727
VANCOUVER
Soliman, K. Real-Time Model-Reference Control of Non-Linear Processes.. MEJ- Mansoura Engineering Journal, 2021; 19(4): 26-35. doi: 10.21608/bfemu.2021.163727