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2.2 Controller Desigin An IPD Controller can be incorporated into the closed loop model (Figure 2.2) in order to meet a set of time response related requirements (e.g. overshoot). Kt G(S) V. Kt Figure 2.2: Overall System Block Diagram with IPD Control Configuration 2.2.1 System closed loop equivalent form Determine the simplified closed loop equivalent form of the overall system block diagranm presented in Figure 2.2. Calculations 10 marks) 2.3 Controller requirements The I-PD controller is required to meet or exceed the following response characteristics for a step change in demand position 1) Maximum rise timet, of 0.15s 2) Overshoot Mp less than 5%. 3) Settling time (error 196) T, less than 0.25s. 4) Steady-state error of 0 for step 2.3.1 Determining gains Use standard transfer functions or pole position methods to calculate the proportional (Kp), integral (Ki and derivative (Kd) IPD controller gains for the overall system. Verify the gains calculated by implementing the system in Simulink. Discuss any trade-offs for exceeding the response requirements presented in Section 2.3 Calculations 20 marks) 2.2 Controller Design An IPD Controller can be incorporated into the closed loop model (Figure 2.2) in order to meet a sct of time response related requirements (c g. overshoot) Kt G(S) Ki Figure 22: Overall System Block Diagram with IPD Control Configuration 2.2.1 System closed leop equivalent form Determine the simplified closed loop equivalent form of the overall system block diagram presented in Figure 22 (Calculations-10 marks) 2.3 Controller requirements The I-PD controller is required to meet or exceed the following response characteristics for a step change in demand position: 1) Maximam rise time t, of 0.1Ss 2) overshoot Mp less than 5% 3) Settling tirne (cmr 1%) T. less than 0.255. 4) Steady-state error of 0 for step. 2.3.1 Determining gains Use standard transfer functions or pole position methods to calculate the proportional (Kp). integral (Ki) and derivative (Kd) IPD controller gains for the overall system Verify the gains calculated by implementing the system in Simulink Discuss any trade-offs for exceeding the response requirements presented in Section 23 (Calculations 20 marks) 2.4 Trial-error rules for PID tuning- Ziegler-Nichols approaches The aim of this section is to demonstrate your ability to use the course knowledge to learn nevw techniques. Assumingly you have got a job in a control engineering company, your manager have asked you to take the following task Research the literature and find out about manual tuning rules such as the Ziegler-Nichols technique. Tuning rules such as Ziegler-Nichols are difficult to implement on I-PD controller configurations. Convert your system to a PID controller configuration and apply a suitable tuning process (e.g. Ziegler-Nichols tuning rules) in order to meet/exceed the response characteristics outlined in Section 2.3. You should give a concise overview of PID tuning methods in this section and demonstrate the designed control system by Simulink (Calculations 15 marks)

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