Due to the significant advantages of flexible link manipulators (FLMs) and the high demand for developing a robust controller in order to perform fast and accurate operations, this research proposes the PD/H-∞ integrated controller for the purpose of position tracking and vibration suppression of a FLM system and verifies its robustness by utilizing longer lengths and test the proposed controller under a disturbance. The PD/H-∞ integrated controller was compared with the Linear quadratic regulator (LQR) controller in terms of position tracking and vibration suppression for the lengths of 50 cm, 75 cm and 100 cm, then the controllers were assessed under a disturbance for the three lengths of the FLM system. The PD/H-∞ integrated controller has shown higher capability to control longer lengths and to reject a disturbance than the LQR controller which has been verified via simulation using MATLAB/Simulink software.

This paper presents the design and implementation of a two-axis stand alone rotary sun tracker. The objective is to analyze the effects of introducing both physical sun-tracking and maximum power point tracking (MPPT) on PV systems' efficiency in the gulf region. A two-axis rotation mechanism is implemented to track the sun over both the azimuth and elevation angles. The position of the sun is determined using the astronomical method. The sun's azimuth and elevation angles are continuously updated throughout the day using a Digital Signal Processor (DSP). The calculated angles are then used as set-points for two closed-loop control systems with PI controllers implemented in the DSP. The panel power is passed through a charger that implements perturb and observe MPPT algorithm to keep the system power operating point at its maximum value.

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A pilot scaled chemical reactor ['I is constructed and commissioned to study various conventional and advanced control strategies. One of the researches to be due is regarding the use of neural network inverse model based controller to control the temperature of the chemical reactor. Neural network control was chosen due to its capabilities to overcome the hassle in periodically tuning the conventional controller in obtaining good process response for certain set point. Tests in form of load disturbance and set point tracking are carried out to evaluate the neural network controller. The neural network controller exhibits satisfactory performance. Simulation work prior to the planned online implementation is vital and crucial to predict the control strategy performance and behavior. With the expected performance in hand, we have the prior knowledge of the control strategy.