Papers by Keyword: Adaptive PID

Abstract: This paper presents a detailed derivation of permanent magnet synchronous motor (PMSM), which can be used as the prime mover for simulation of hybrid electric vehicles (HEV). A torque tracking control for the motor is developed based on the adaptive proportional-integral-derivative (APID) controller .The effectiveness of the controller has been mathematically compared with the proportional-integral-derivative (PID) controller using various input functions such as step, saw tooth, sine wave and square wave. The results show that the APID-based control is effective in tracking the desired torque with good response and is able to adapt with the desired input as compared to the PID controller. This finding supports the selection of the APID for the toque tracking control of hybrid electric vehicles.

Abstract: Robotic automated fiber placement (Robotic AFP) was a cost-effective and highly innovative approach to produce large and complex composite structures. In order to achieve desired qualities, the tow tension of the process required to becontrolled accurately. Due to the high nonlinearity of the system, such as the large elastic modulus, flexibility and viscosity of the tow, traditional methods failed to work effectively. A fuzzy-adaptive PIDcontroller combining fuzzy logic and adaptive PID together was proposed in this work. Fuzzy logic was able to respond quickly to disturbances without the need for an accurate model and adaptive PID control could eliminate the steady-state error by adapting its parameters to the working conditions. With this method, the tow tension could be precisely regulated thus improved the qualities of the composite structures.

Abstract: This paper develops a new separated mini-environment to provide a constant temperature chamber for the placement of Micro/Nano-metrology instrument. In this paper, the rule of temperature change with time under natural convection and coercive convection is presented. The measurement and control system is composed of TEC, programmable power source and precise temperature measurement system. The mathematic model of the constant temperature chamber is identified making use of system identification theory and system identification toolkit of MATLAB. The temperature stability is improved by applying auto-adaptive PID method. Experiments show that the temperature fluctuation of a single-point is less than 0.02°C and the whole field is within 0.05°C. The goal of high-precision temperature control is achieved.