Laboratorio de Investigación en Automatización y Energías


PhD., MSc., EE. Juan Carlos Travieso Torres PMP

This laboratory investigates optimal and robust adaptive control of complex dynamical systems. Current projects include induction motor optimal control under a constant slip control scheme; also, the expansion of adaptive control theories for unknown nonlinear systems and applications. The immediate future project includes the autonomous control of 4 rotor quadcopters.

Induction motor optimal control is supported by FONDEF (, USACH (, UCH (, FCP (, and Ministry of Energy ( Specifically, by the project FONDEF ID17I10338 named “Research, and Development of an Electronic Feeder for Maximum Efficiency of Induction Motors”.

Two Chilean patent applications, 201603397 and 201903794, have been presented. The first named “Indirect Control Method for Constant Slip Control of Asynchronous Electrical Machines for High Control Features”. The last, named “Constant Slip Control Method for Maximum Efficiency of Asynchronous Electric Machines”

This project considered that only from 1995 to 2018 the world population increased by 2 billion (increased 33%, from 5.7 billion to 7.6 billion) [Worldometers, 2019]. The global electricity consumption doubled from 1991 (11.3 TWh) to 2018 (22.9 TWh) [Enerdata Electricity Consumption, 2019], with 45% of this consumption corresponding to electric motors in 2011 mainly IM [Paul Waide and Conrad U., 2011]. It is estimated that by 2040 the world electricity consumption will have tripled (35 TWh) [Enerdata Electricity Forecast, 2019]. This project considers that the efficient energy use of IM is vital. An optimal ac drives with a constant slip control (CSC) method, alternative to FOC and DTC, was considered. The obtained solution saves more energy than using premium efficiency motor IE4.

Expansion of adaptive control theories is supported by the project FONDECYT 1190959 (, UCH (, USACH ( and UTEM ( The project name is “Development of Fractional Order Tools for Stability, Estimation, and Control of Systems and Applications”.

The expansion of adaptive control theories for unknown affine nonlinear dynamical systems without linear explicit parametric dependence is my research area in the project. This is done through different adaptive control schemes like MRAC and APBC for scalar and affine nonlinear systems. Integer and fractional order (FO) operators are also studied. The main goal is to expand mathematical theories of adaptive control, avoiding trial and error algorithms. Robust and optimal adjustment laws are also investigated.

Autonomous control of 4 rotor quadcopters will be supported by the Pacific Alliance (, CINVESTAV (, and USACH ( It is a México-Chile collaborative project for 2020.

Chile is the most seismic country in the world, with the largest magnitude earthquake (9.5, 1960). Events of magnitude greater than 7.5 (having more than 30) could have associated Tsunamis. Chile is also exposed to floods, eruptions, fires, and droughts. Mexico, meanwhile, had two earthquakes in September 2017 (of Magnitudes 8.2 and 7.1). There were more than 450 deaths and more than 120,000 damaged buildings. Mexico is also impacted by tropical cyclones. The project investigates adaptive control techniques for drones as an application field. Using improved drones in the presence of natural phenomena is expected to help saving human lives, animals and greater material damage. The equivalence between MRAC, APBC and Adaptive Sliding Modes Control (ASMC) will occupy a central role. The Mexico researchers are specialists in the ASMC technique.