In decade years, several simple methods for the automatic tuning of PID controllers have been proposed. There have been different approaches to the problem of deriving a PID-like adaptive controller. All of these can be classified into two broad categories: model-based; or expert systems. In this paper a new expert adaptive controller is proposed in which the underlying control law is a PID structure. The design is based on the fuzzy logic and the generalized predictive control theory. The proposed controller can be applied to a large class of systems which is model uncertainty or strong non-linearity. Simulation results have also been illustrated. It shows that the proposed expert PID-like controller performed well than generally used PID.

Applying neutral network-sliding model control design methods to large envelope flight control law of aircraft whose model parameter varies greatly with flight condition was studied in this paper. Neural network theory is used to approximately linearize the nonlinear system and cancel the errors brought with approximate inversion, and the residual error is solved by sliding model control. So it can approximate the nonlinear model accurately, and improve robustness and anti-jamming capability of the flight control system. Simulation results show the design neural network – sliding model large envelope flight controller has excellent control performance.

This paper proposed a kind of new control method for resolving the problem of the Direct Torque Control (DTC)'s greater torque pulsation problem at low speed, this method is based on Space Vector Pulse Width Modulation (SVPWM). SVPWM is a kind of excellent Pulse Width Modulation (PWM) scheme. It can not only improve the inverter DC voltage utilization, reduce harmonic losses, restrain torque pulsation, also easily generate high-precision real-time waveform by the high-speed digital signal processor. The simulation results of this system by Matlab/Simulink indicate that the space vector PWM direct torque control can efficiently reduce the pulse of motor torque and flux linkage.

Gypsum hollow block is an important new material, which has a broad development prospect and promising. It can not meet the market demands because the technical and other reasons of the domestic enterprises, which restrict the development of the gypsum hollow block production. Therefore, the development and design of the gypsum hollow block production equipment have great significance. In this paper, the control system of the gypsum hollow block production equipment is introduced. The motors in the system are controlled by PLC and inverter, which can make the system operate smoothly. The production process such as ferruling, core-pulling, casting and molding can be controlled automatically according to the signal of the sensors, which can improve the productivity and reduce the operating costs. The system is also equipped with remote monitoring to realize the soft control. Experiments show that this control system has high reliability and stability.