The paper describes the development of an adaptive fuzzy control strategy for control of dissolved oxygen (DO) concentration on an activated sludge process (ASP). The technique is applied to the Benchmark Simulation Model n.1 (BSM1) which is a standard for performance assessment and evaluation of ASP control strategies. The controller uses DO concentration error feedback and manipulates the flo...

Additional energy source of hybrid electric buses comprises new control tasks. One of the main challenges of hybrid electric buses is the integrated control between traction motor and brakes, associated with which is the problem of switching traction motor and brakes. Existing control techniques only provide a result of frequent switch and jerky ride. In this paper, we propose a control strateg...

the direct torque control (dtc) of interior permanent magnet synchronous motor (ipmsm) offers simple structure and fast torque response. the conventional switching table-based dtc (st-dtc) presents some disadvantages like high torque and flux ripple and also variable switching frequency. this paper investigates the improved st-dtc strategies to reduce both torque and flux ripple in dtc of ipmsm...

The low harmonic distortion and reduced switching losses are the advantages of using multilevel inverter. For this purpose, three-level inverter is used in paper as a three-phase four-leg shunt active power filter (SAPF). SAPF to eliminate current compensate reactive current, balance load currents under an unbalanced non-linear load. A fuzzy logic controller self-tuning filters (STF) control (A...

Direct Torque Control of induction motor fed drives has become popular and widely used in industries due to fast and good torque response. Induction motors (IM) are simple in construction and are less sensitive to the motor parameters compared to other vector control methods. A new torque and flux control scheme called the direct torque control (DTC) has been introduced for induction motors. In...

Scheduling design of control tasks with fuzzy deadline is considered. By introducing the dedication concept to describe the scheduling criticality of a control task, the largest dedication first with preemption threshold is presented and the preemption threshold is used to control the context switching among control tasks. Every control task is dynamically assigned its priority and feasible pre...

The paper presents a novel adaptive sliding mode fuzzy control strategy (AFSMC) for maintaining steam temperature in power plants. The AFSMC consists of a learning algorithm inspired by the sliding-mode control (SMC) and fuzzy gain scheduling integral control to compensate system offsets. The performance index for the learning algorithm has a similar structure to the switching variables derived...

In this paper, we offer the fuzzy switching con-troller based on Quasi-ARX neural network model using Lyapunov learning algorithm to control nonlinear dynamical system. This work exploits the idea to use Lyapunov function to train multi-input multi-output neural network on the core-part sub-model.We can get a linear controller, and a controller based on the characteristic of the fuzzy switching...

Multilevel inverters supplied from equal and constant dc sources almost don’t exist in practical applications. The variation of the dc sources affects the values of the switching angles required for each specific harmonic profile, as well as increases the difficulty of the harmonic elimination’s equations. This paper presents an extremely fast optimal solution of harmonic elimination of multile...